Next Article in Journal
Epidemiological Surveillance of Hypodermosis in Cattle from Romania
Previous Article in Journal
Prevalence of Multidrug-Resistant Bacteria in Healthcare-Associated Bloodstream Infections at Hospitals in Riyadh, Saudi Arabia
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Pathogens
Volume 12
Issue 9
10.3390/pathogens12091076
pathogens-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Zoo-Sanitary Situation Assessment, an Initial Step in Country Disease Prioritization Process: Systematic Review and Meta-Analysis from 2000 to 2020 in Cameroon

by
Mohamed Moctar Mouliom Mouiche
1,2,3,
Eugenie Elvire Nguemou Wafo
2,
Serge Eugene Mpouam
2,3,4,
Frédéric Moffo
2,
Jean Marc Kameni Feussom
3,5,
Arouna Njayou Ngapagna
3,6,
Youssouf Mouliom Mfopit
7,
Claude Saegerman
8,* and
Mamoudou Abdoulmoumini
2
1
USAID’s Infectious Disease Detection and Surveillance (IDDS), ICF, Yaoundé P.O. Box 8211, Cameroon
2
School of Veterinary Medicine and Sciences, University of Ngaoundéré, Ngaoundéré P.O. Box 454, Cameroon
3
Epidemiology-Public Health-Veterinary Association (ESPV), Yaoundé P.O. Box 15670, Cameroon
4
IMMANA Fellow, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
5
Ministry of Livestock, Fisheries and Animal Industries (MINEPIA), Yaoundé P.O. Box 8211, Cameroon
6
Unit of Veterinary Public Health and Clinical Sciences, Faculty of Veterinary Medicine, Universite des Montagnes, Bangangté P.O. Box 208, Cameroon
7
Veterinary Research Laboratory, Institute of Agricultural Research for Development, Wakwa Regional Center, Ngaoundéré P.O. Box 65, Cameroon
8
Faculty of Veterinary Medicine, Unit of Epidemiology and Risk Analysis Applied to Veterinary Science (UREAR-ULiège), Fundamental and Applied Research for Animals & Health (FARAH) Center, University of Liege, 4000 Liege, Belgium
*
Author to whom correspondence should be addressed.
Pathogens 2023, 12(9), 1076; https://doi.org/10.3390/pathogens12091076
Submission received: 18 July 2023 / Revised: 9 August 2023 / Accepted: 15 August 2023 / Published: 24 August 2023
(This article belongs to the Section Epidemiology of Infectious Diseases)
Browse Figures
Versions Notes

Abstract

:
To prevent and/or control infectious diseases in animal and human health, an appropriate surveillance system based on suitable up-to-date epidemiological data is required. The systematic review protocol was designed according to the PRISMA statement to look at the available data on infectious diseases of livestock in Cameroon from 2000–2020. Data were searched through online databases. Grey literature was comprised of dissertations and theses from veterinary higher education institutions in Cameroon. A random-effects model was used to calculate pooled prevalence using Comprehensive Meta-Analysis Software. Based on disease prevalence, major infectious diseases of livestock in Cameroon were gastrointestinal parasitosis (57.4% in cattle, 67.2% in poultry, 88% in pigs), hemoparasites (21.6% in small ruminants, 19.7% in cattle), bovine pasteurellosis (55.5%), fowl salmonellosis (48.2%), small ruminant plague (39.7%), foot-and-mouth disease (34.5% in cattle), and African swine fever (18.9%). Furthermore, other important endemic zoonoses in the country included: Rift Valley fever (10.9% in cattle, 3.7% in small ruminants), brucellosis (7% in cattle, 8% in pigs), bovine tuberculosis (4.7% in cattle), hepatitis E virus (8.4% in pigs) and bovine leptospirosis (2.5%). Most of the retrieved research were carried out in the Adamawa, Northwest, and West regions of Cameroon. The evaluation of existing data as evidence, albeit publication-specific, is an important step towards the process of prioritizing animal diseases, including zoonoses.

1. Introduction

Infectious diseases are a significant burden on animal and human health, particularly in Low- and Middle-Income Countries (LMICs) [1] where animal health public services lack resources and countries borders are porous despite important human and animal movements between neighboring countries [2].
For example, the contagious bovine pleuropneumonia (CBPP) is estimated to cost almost €45 million per year in lost productivity in twelve sub-Saharan African countries [3]. Zoonotic diseases account for 2.5 billion cases of human illness and 2.7 million human deaths worldwide each year [4]. During the last five years, two major epizootic outbreaks, African swine fever from 2014–2016 [5] and avian influenza in 2016 [6], have significantly reduced the national headcount flock size in Cameroon and contributed to financial losses worth billions of CFA francs (1$ = 550 CFA). The national objectives with regards to the livestock sector have not been achieved due to several constraints, including animal diseases, which negatively influence livestock productivity [7].
Cameroon is located in the Congo Basin, one of the five areas at high risk of disease emergence in the world [8]. Moreover, the country is exposed to numerous transboundary diseases due to the porous nature of its borders [2]. In order to prevent and control endemic and zoonotic diseases at the human/animal–environment interface, an appropriate surveillance system based on quality epidemiological data is required [9]. Furthermore, such data are valuable inputs for appropriate disease prioritization aiming at effective and efficient prevention and/or control measures at the farm, local, national, and regional level [10,11]. Meanwhile, epidemiological data in Cameroon is sparse and scarce in some regions due to difficulties of getting surveillance systems to function effectively [12]. Several studies have been conducted to determine the prevalence of specific diseases in some regions, without providing national estimates of these diseases. Recent systematic review studies carried out by Asante et al. [13] on important zoonotic bacteria in Africa did not include any information from Cameroon and this was justified by the scarcity of published studies online at the national level. In the absence of a global view of the health situation and surveillance capacities of the country, it may be difficult to identify priority diseases and characterize drivers of emerging and re-emerging diseases. Likewise, a lack of data on disease burden may lead to underestimation of disease impact or effect with important consequences on the implementation of Cameroon’s Animal Health and Veterinary Public Health Policy. It is in this light that the present study was initiated, to systematically review and further analyze available data retrieved online from published peer-reviewed articles and valuable theses on infectious diseases in livestock in Cameroon as an epidemiological contribution for effective interventions and prevention/control strategies.

2. Results

2.1. General Characteristics and Distribution of Studies Included in the Review

From a total of 33,235 citations identified during preliminary research, and after different screening stages (Figure 1), 169 were rated as good quality and thus included in the final analysis. Of all 169 studies included in the review, 94 reported on the outcome of parasitic diseases, 39 reported on the outcome of bacterial diseases, and 36 on viral diseases in food-producing animals. The Adamawa region had the largest number of studies (34.54%), followed by the West region (20.6%) and the North (18.78%) region. Studies on cattle were undertaken mostly in the Adamawa (38.65%), North (15.96%), and Northwest (15.13%) regions. Studies on pigs were mostly carried out in the West (32.26%) and Southwest (16.13%) regions. The North and Southwest regions had the highest number of studies on sheep (22.22% and 18.52%, respectively) and goats (27.58% and 17.24%, respectively) while the West region hosted the largest number of studies on chicken (35%) followed by the Centre region (25%) (Figure 2). As concerns the types of samples, blood was most commonly tested (48.48%) followed by fecal swabs for parasitic diseases and live animals or carcasses for bacterial and viral diseases diagnosis. Microscopy was the most frequently used diagnostic method for parasitic infections (56.28%) while serology was used for bacterial (41.02%) and viral infections (44.44%) (Table 1).

2.2. Parasitic Diseases Situation of Livestock in Cameroon

Gastrointestinal parasites (58.51%) were the most frequently reported followed by hemoparasites (36.17%), ectoparasites (11.70%), and muscular/cerebral coenuruses (1.06%) (Table 2).

2.2.1. Trypanosomiasis

Trypanosomiasis infections were reported in 24 studies conducted in the Adamawa, North, and Southwest regions. Trypanosoma congolense, T. brucei, and T. vivax were the most frequently reported species. T. theileri, T. grayi, and T. simaie were reported less frequently, and only in studies where PCR was used for diagnosis (Table S1). The pooled prevalence was significantly (p = 0.007) higher in pigs: 54.2% [95% CI (39.6–68.2%)] (Figure S1), compared to cattle (15.6% [95% CI (8.4–27.3%)]) (Figure 3) [14,15,16,17,18,19,20,21,22,23,24,25] and small ruminants (28.4% [95% CI (12.7–51.9%)]) (Figure S2). Regional subgroup analysis for cattle gave a prevalence of 26.1% in the Adamawa region and 16.8% in the North (Table S2).

2.2.2. Tick-Borne and Other Blood Parasites

Nine studies reported other blood parasites, including tick-borne parasites. Anaplasma, Babesia, and Theileria species were the most frequently reported (Table S3). The pooled prevalence of tick-borne parasites of 21.6% [95% CI (8.1–46.3%)] and 19.7% [95% CI (4.7–85.5%)] was obtained for small ruminants and cattle, respectively. For specific tick-borne diseases, pooled prevalence ranged between 3.5–10.9% in small ruminants and 21.6–35.9% in cattle (Table S4).

2.2.3. Gastrointestinal Parasites

Gastrointestinal parasites were investigated in a total of 22 studies (Table S5). Overall, the pooled prevalence obtained in cattle (57.4% [95% CI (45.3–68.7%)]) (Figure S3) was significantly (p = 0.002) lower than that obtained in poultry (67.2% [95% CI (48.3–81.8)]) and pigs (88.0% [95% CI (78.2–93.8%)].

2.2.4. Fascioliasis and Other Trematodes

A total of 17 studies reported findings on fascioliasis in Cameroon, a majority of which were carried out in the Adamawa (10/17). The two known species Fasciola hepatica and Fasciola gigantica were found to be present in the country (Table S6). Fascioliasis prevalence ranged between 0.6% for Fasciola hepatica and 66.9% for Fasciola gigantica with a pooled prevalence of 17.3% [95% CI (11.0–26.2%)] (Figure S4). Based on three studies, a pooled prevalence of 8.8% [95% CI (2.1–30.2%)] was obtained in small ruminants. Regional subgroup prevalence showed a significant difference (p = 0.006) between the Adamawa region that had the highest prevalence (41.5%), the West region (22.6%), and the Northwest region (2.4%) (Table S7). Other trematodes parasites such as Paramphistomum spp., Echinostosoma spp., Schistosoma bovis, and Dicrocoelium hopes were also reported in food-producing animals. Paramphistomum spp. was the most reported (Table S8) with a pooled prevalence of 12.6% [95% CI (4.5–30.8%)] in cattle, 19.7% [95% CI (3.2–64.7%)] in goats, and 23.0% [95% CI (5.4–61.0%)] in pigs (Table 2).

2.2.5. Cysticercosis and Other Cestode Diseases

Cysticercosis was most reported in pigs in the West and North regions of Cameroon (Table S9). Meta-analysis using results from 10 studies gave a pooled prevalence of 6.2% [95% CI (3.3–11.3%)] for porcine cysticercosis (Figure S5). Regional subgroup analysis showed a prevalence of 21.5% [95% CI (9.9–40.6%)] in the North region, 3.2% [95% CI (1.0–9.6%)] in the West region, and 8.75% [95% CI (6.3–12.6%)] in the Centre region (Table S10). Other cestode diseases reported included monieziosis in ruminants (7 studies), Choanotenia spp., Amoebotenia spp., Hymenolepis spp., and Railiettina spp. in poultry, and coenuruses in ruminants (Table S11). A pooled prevalence of 3.6% [95% CI (2.4–5.4%)] for monieziosis in cattle was observed.

2.2.6. Nematodiasis

Roundworm infestations were reported in 25 studies (Table S12). Most studies reported the infestations in cattle (11/25) and pigs (7/25). Strongyloides spp. (20/25), Strongylus spp. (14/25), and Trichuris spp. (13/20) were the most frequently reported species.

2.2.7. Coccidiosis and Other Protozoan Parasitoses

Coccidial infections were reported in 18 studies, most of which were carried out on chicken (8/18) and pigs (5/18) and in the West region (10/18) (Table S13). Pooled prevalences of 30.2% [95% CI (10.3–61.9%)], 49.2% [95% CI (19.4–72.6%)], 51.1% [95% CI (2.8–97.5)], and 4.5% [95% CI (1.1–17.0%)] were obtained in pigs, poultry, goats, and cattle, respectively (Table 2). Cryptosporidium spp. was reported in cattle in the West while the only acanthocephalan parasite encountered was Macracanthorhynchus hirudinaceus in pigs in the West region. In all cases, the diagnosis was based on Coprological techniques.

2.2.8. Ectoparasites

Ectoparasites of livestock were reported in 11 studies carried out in various regions of the country. Ambloyamma spp. and Rhipicephalus (Boophilus) spp. were the most frequently reported hard ticks (Table S14). From three studies that reported the tick load, a total of 27,299 ticks were collected from 675 cattle (average: 40 ticks/head). Sarcoptic scabies (mange) were also reported in pigs in the West region.

2.3. Bacterial Diseases

Overall, brucellosis (33.3%), tuberculosis (28.2%), and salmonellosis (16.7%) were the most frequently reported bacterial diseases, while colibacillosis (5.6%), campylobacteriosis (5.6%), leptospirosis (5.6%), pasteurellosis (2.8%), contagious bovine pleuropneumonia (2.8%), contagious caprine pleuropneumonia (2.8%), anthrax (2.8%), Q fever (2.8%), mastitis (2.8%), and endometritis (2.8%) were less frequently reported over the whole country (Figure 4)).

2.3.1. Brucellosis

Brucellosis was reported in a total of 12 studies, 10 in cattle, 1 in pigs, and another 1 in small ruminants. Brucella spp. was referenced in most studies, while Brucella abortus was reported in three studies and Brucella melitensis in one study. Most reports came from the Adamawa (6) and the Northwest (6) regions (Table S15). Pooled prevalences of 8.0% [95% CI (0.0–17.40%)] and 7.0% [95% CI (4.8–10.0%)] were obtained in pigs and cattle, respectively (Figure S6). Regional subgroup analysis showed a prevalence of 8.4% [95% CI (3.6–18.4%)] in the Adamawa region and 5.8% [95% CI (4.0–8.5%)] in the Northwest region (Table S16).

2.3.2. Bovine Tuberculosis

A total of 11 studies described tuberculosis in animals in Cameroon (10 in cattle and 1 in goats). Various Mycobacterium bovis strains identified were spoligotypes SB0953, SB2162, SB2663, and SB2664 (Table S17). A pooled prevalence of 4.7% [95% CI (1.0–64.8%)] from all 12 studies was obtained in cattle (Figure 5) [26,27,28,29,30,31,32,33,34,35]. Subgroup analysis gave pooled prevalences ranging from 1.7% [95% CI (0.4–7.1%)] in the Centre region to 3.6% [95% CI (2.3–5.5%)] in the West region (Table S18).

2.3.3. Salmonellosis, Colibacillosis, and Campylobacteriosis

Salmonellosis, colibacillosis, and campylobacteriosis were mainly reported in chicken, but were also reported in cattle and pigs in various regions of Cameroon (Table S19). In all cases, the diagnosis was done by bacterial culture from fecal samples. A pooled prevalence of 48.2% [95% CI (12.9–85.5%)] was obtained from three studies for salmonellosis in poultry (Table 3).

2.3.4. Other Bacterial Diseases

Other bacterial infections encountered included leptospirosis, pasteurellosis, Contagious Caprine Pleuropneumonia (CCPP), Contagious Bovine Pleuropneumonia (CBPP), anthrax, Q fever, mastitis, and endometritis of infectious origin (Table S20). Combining two studies for leptospirosis and pasteurellosis in cattle gave pooled prevalences of 2.5% [95% CI (0.0–64.2%)] and 55.5% [95% CI (39.2–70.7%)], respectively (Table 3).

2.4. Viral Diseases

Overall, Foot-and-mouth disease (33.33%), African Swine Fever (11.11%), Peste des Petits Ruminants (11.11%), Rift Valley fever (8.31%), hepatitis E (5.56%), avian influenza H5N1 (5.56%), Bovine viral diarrhea (2.78%), Infectious Bovine Rhinotracheitis (2.78%), Lumpy Skin Disease (2.78%), Influenza H1N1 (2.78%), Newcastle’s Disease (2.78%), porcine hokovirus (2.78%), porcine bocavirus (2.78%), and chicken anemia (2.78%) were, in decreasing order of magnitude, the most frequently reported viral diseases (Table 4).

2.4.1. Foot-and-Mouth Disease (FMD)

Foot-and-mouth disease was reported in 13 studies and described mostly in cattle (9/13), as well as in small ruminants (3/13) and pigs (2/13). The Adamawa region hosted more studies than any other region (6/13). Five serotypes of the virus were: A, O, SAT1, SAT2, and SAT3 (Table S21). Overall, low pooled prevalence was significantly (p = 0.001) observed with pigs: 4.4% [95% CI (3.1–6.3%)] and sheep: 8.1% [95% CI (3.6–17.4%)] compared to cattle: 33.5% [95% CI (2.2–92.0%)] (Figure 6) [36,37,38,39,40,41,42]. Subgroup analysis for the Adamawa region gave a pooled regional prevalence of 34.8% [95% CI (8.6–75.1)].

2.4.2. Peste Des Petits Ruminants (PPR) Small Ruminant Plague

Three studies reported the seroprevalence of PPR (Table S22) and yielded a pooled prevalence of 39.7% [95% CI (30.8–49.4%)].

2.4.3. Rift Valley Fever (RVF)

The disease was reported in cattle in the Northwest and Adamawa regions and small ruminants in the North, while another study gave evidence for the circulation of the disease among livestock in all ten regions of the country (Table S23). The pooled prevalence obtained in small ruminants: 3.7% [95% CI (2.9–4.9%)] (Figure S7) was significantly (p = 0.001) lower than that obtained in cattle: 10.9% [95% CI (8.0–14.7%)] (Figure S8).

2.4.4. African Swine Fever (ASF) and Other Viral Diseases of Pigs

African swine fever was reported in pigs in 7 out of 10 regions of Cameroon. Virus isolates were found to belong to three variants of ASF Virus genotype I (Table S24). Risk of introduction of the disease into farms was found to be associated with the entrance of animal health personnel, and locality was the main risk factor identified. A pooled prevalence of 18.9% [95% CI (8.9–35.6%)] was obtained (Figure S9).

2.4.5. Other Viral Diseases of Cattle, Pig, and Poultry

Bovine viral diarrhea, Infectious Bovine Rhinotracheitis (IBR), and Lumpy skin disease were reported in cattle (Table S25). Other viruses identified in pigs included influenza A virus subtype H1N1 in the Centre, North, Far North, and West regions. Hepatitis E was reported in the Littoral, North, West, Centre, and Northwest regions. The zoonotic genotype 3 strain was identified. Porcine hokovirus was reported in the Northwest, Littoral, and Centre regions. Similarly, a novel porcine bocavirus was detected in fecal samples of pigs in several regions of the country. A pooled prevalence of 8.4% [95% CI (2.1–28.0%)] was obtained from five studies on hepatitis E in pigs. Viral diseases of poultry were reported majoritarily (Table S26) after severe outbreaks such as avian Influenza (H5N8, H5N1).

3. Discussion

Frequent outbreaks of zoonotic and non-zoonotic diseases as well as dissatisfying productivity levels amongst livestock in Cameroon have prompted several research studies on infectious diseases of animals in the country, providing results that are sparse and limited in space, not covering all regions of the country. Systematic review and meta-analysis procedures used in this study (after quality appraisal of existing papers) are a standard for qualitative and quantitative evidence synthesis, adding value to previous findings [43]. Hence, the quality of publications obtained from the literature were assessed in order to reduce risk of bias.
Therefore, this study showed that most of the studies on infectious diseases of livestock in Cameroon were carried out in the Adamawa region, followed by the West and Northwest regions. Fewer studies were carried out in the East and South regions. This is understandable given that the first three regions are major animal production areas, making up more than 50% of the national cattle headcount and about 70% of the total porcine population of the country [44]. Moreover, the existence of higher education and research institutions in these regions allows availability of researchers and research facilities in these areas [45]. As well, research information was more available for cattle, pigs, and small ruminants than for chicken. This indicates a need for more research studies on diseases of chicken. Microscopy was the most frequently used technique in diagnosing parasitic infections followed by antemortem/postmortem examination, despite being a time consuming and labor-intensive technique [46]; this could be due to its low cost [47]. However, for bacterial diseases, serology was mostly used, closely followed by antemortem/postmortem examination, possibly for reasons similar to those mentioned above. There is a need for increased use of molecular methods as they are more specific and allow for early disease detection [48]. However, the high costs, infrastructure, and technical expertise associated with these methods can limit their adoption and accessibility, making it challenging to adopt and sustain molecular-based infectious disease detection and surveillance programs.
Gastrointestinal parasites and hemoparasites were reported in almost all regions of the country, marking their endemicity. Blood parasites account for a high percentage of cattle deaths and the highest percentage of expenditure incurred by farmers for disease treatment as compared to other diseases [49]. Trypanosomiasis and bovine anaplasmosis were the most prevalent blood cell parasites [14,17,18,24]. The prevalence of trypanosomiasis in cattle was similar to 17.7% obtained by Odeniran and Ademola [50] in Nigeria and different from 8.1% obtained by Leta et al. [51] in Ethiopia. Such similarity with Nigeria may be explained by the fact that both countries are epidemiologically related and share common boundaries, thus facilitating the movement of animals, flies, and consequently pathogen dissemination. This is an indication for the need of an integrated regional effort targeting whole tsetse belts across national borders, as well as the creation of buffer zones, to prevent the reintroduction of tsetse flies and trypanosomes in cleared areas [15,16,19,21]. Moreover, increasing resistance of parasites to trypanocidal drugs hinders chemotherapy-based control efforts [15]. Other mechanical vectors belonging to the families of Tabanidae (tabanid flies) and Muscidae (Stomoxys, Haematobia, Haematobosca) were reported to be responsible for the transmission of trypanosomiasis in Cameroon [52]. This is an indication that the control and prevention strategies to reduce the burden of trypanosomiasis in animal production in Cameroon should be extended to vectors other than tsetse flies. For anaplasmosis, the pooled prevalence was similar to that obtained by Paramanandham et al. [53] in India (11.0%). Meanwhile, the prevalence obtained for babesiosis was higher than 5.3% reported by Haghi et al. [54] in Iran. The high prevalence of anaplasmosis and babesiosis is directly associated with the abundance of ticks, which were also identified in the animal population and environment as well as husbandry systems which are mostly transhumant, favoring infestations [15]. This additionally marks the need for preventive actions and cross-border vigilance, especially with the rapid spread of the dreaded R. microplus in neighbouring countries [55,56]. Overall, gastrointestinal parasites showed high prevalence in the different species. Coccidiosis was the most prevalent of all gastrointestinal parasites with a prevalence slightly above the 37% reported by Asfaw et al. [45] in Ethiopia. It causes huge economic losses, mainly in terms of production losses and costs of treatment and prevention [57]. Fascioliasis and paramphistomosis; porcine cysticercosis and monieziosis; and strongyloses and strongyloidiasis were the most identified trematode, cestode, and nematode diseases, respectively. This trend is similar to that observed by Karshima et al. [58] in Nigeria and can be explained by climatic considerations that favor proliferation of snails in the case of trematodes, poor hygiene practices such as lack of latrines that favor porcine cysticercosis, and environmental conditions that are ideal for transmission dynamics of various nematodes [59]. The high prevalence of fasciolosis in the Adamawa region as compared to West and the Northwest regions may be due to the lengthier dry season and consequent scarcity of drinking spots which encourages concentration of animals and hence rapid contamination [44,60]. The wide geographical distribution of these diseases is an indication of the enzootic nature of such pathogens in Cameroon. Moreover, the presence of species with zoonotic potential such as Fasciola gigantica, Oesophagostomum spp., Cysticercus cellulosae, Strongyloides spp., Trichuris spp., Trichinella spp., Shistosoma spp., and Capillaria spp. presents an indication of obvious public health concerns in Cameroon.
Some of these infections are the main causes of organ condemnation at abattoirs resulting in important economic losses [61]. Alongside ectoparasites, such as scabies, which is the one of the few parasitic diseases listed by law in Cameroon as a disease legally deemed to be contagious (MRLC) was also reported in this study. This calls for enhanced implementation of zoosanitary regulation concerning such diseases.
As for bacterial diseases, pasteurellosis in cattle and salmonellosis in chicken were the most prevalent. The pooled prevalence obtained were similar to those obtained by Asfaw et al. [45] in Ethiopia (51% for salmonella infection in poultry). There is no prophylaxis plan against salmonellosis infection in Cameroon, where it is characterized by high morbidity and mortality rates, in addition to being zoonotic [6]. Other zoonotic bacterial diseases including bovine tuberculosis, brucellosis, and leptospirosis were also reported in several regions of the country with evidence of human contamination [26,28,29,62,63]. The high pooled prevalence obtained for these diseases listed as contagious notified diseases (“Maladies Réputée Légalement Contagieuses,” MRLCs) indicates a possible low level of implementation of regulation and prevention/control strategies at the national level [32,33,34]. The surveillance plans for the majority of these infections within the Cameroon Animal Disease Epidemiology Surveillance Network (RESCAM) are generally delayed by factors such as limited resources. There is, therefore, a need for reinforcement of financial, human, and technical capacities for better surveillance [12]. There were few reports concerning diseases such as Contagious Bovine Pleuropneumonia anthrax, pasteurellosis, Q fever, and abortive diseases, though some of these diseases are regularly reported to the surveillance systems and of even higher interest for the Ministry in charge of livestock and veterinary services [64]. Hence, there is need for research on their epidemiology in the country, in order to provide information for efficient prevention and control strategies. Very few studies reported bacterial diseases in small ruminants and pigs. Meanwhile, bacterial diseases of pigs such as salmonellosis, colibacillosis, pasteurellosis, and erysipelas are known to exist in the country causing heavy losses every year [65]. Likewise, bacterial diseases of small ruminants like salmonellosis, Contagious Caprine Pleuropneumonia, pasteurellosis, tuberculosis, and abortive diseases, which are OIE-listed diseases (World Organization for Animal Health), are also known to be present but knowledge of their impact is scarce [66]. Hence, studies should be conducted to determine the exact burden of these diseases in Cameroon.
This study highlights frequent outbreaks of highly pathogenic viral infections in the country such as avian influenza and African swine fever virus. Such diseases generally result in severe market shocks when consumers fear that animal products or exposure in markets will make them ill. This can lead to a sharp fall in consumption during outbreak, leading to a fall in prices and loss of revenue for producers until consumer confidence is restored [67]. This calls for improvement of biosecurity measures at the level of national frontiers and individual farms. Peste des Petits Ruminants and Foot-and-mouth disease [36,37,38,39] were the most prevalent infections with values higher than those obtained by Barman et al. [43] in Northeastern India (15.0% for Peste des Petits Ruminants and 21.0% for Foot-and-mouth disease in cattle). Other diseases of zoonotic importance such as Rift Valley Fever, porcine hepatitis E virus, and Influenza H1N1 were found to be enzootic in the country. Rift Valley Fever and Foot-and-mouth disease are at the origin of trade restrictions, thus limiting the profit that would have been made from exports [38,68]. The detection of novel viruses such as porcine bocaviruses and hokoviruses reflects the impact of globalization on the distribution of new and emerging viruses and is a call to intensify actions to prevent entrance of such diseases into the country. The high prevalence reports for scarcely reported diseases such as Infectious Bovine Rhinotracheitis and other infections including Bovine viral diarrhea, chicken anemia virus, and Newcastle’s disease call for more research to be done concerning the epidemiology of those diseases.
Overall, there was marked heterogeneity amongst studies that were included in most of the meta-analyses (80%). Prevalence values varied greatly between studies included in the same analyses. Such heterogeneity could be accounted for by varying sensitivity and specificity of the diagnostic techniques and study sites (regions). Publication bias was significant in few analyses (5.7%) and may have been influenced by the exclusion of some studies from the analysis because of incomplete information. Even so, such a low frequency of publication bias implies that the pooled estimates obtained in this study are an acceptable reflection of the real situation in the country. Hence, the results of this study will be useful in guiding informed decision-making for the establishment of efficient control programs against infectious diseases of livestock in Cameroon, in a bid to reduce economic losses and public health problems associated with these diseases. It should be noted, however, that data included in this study was obtained mainly from published articles and unpublished dissertations and did not include notification data from the epidemiological surveillance network of the country. Based on disease prevalence, the most prioritized major infectious diseases of livestock in Cameroon should be gastrointestinal parasitosis in all species, trypanosomiasis, bovine pasteurellosis, avian salmonellosis, small ruminant plague, foot-and-mouth disease, and African swine fever. Other important endemic zoonoses in the country were Rift Valley fever, bovine tuberculosis, and brucellosis. These diseases are also priority of the national epidemiological surveillance network [12]. This study does not only highlight viral and bacterial diseases as being the most important as in several prioritization exercises but also underlines the burden of parasitic diseases which are often more important from farmers’ perspectives [11]. It also means that compromises should be found when addressing those viral and bacterial diseases identified as national priorities by including the control of parasitic diseases at farm level in the form of health packages that are more likely to enhance farmers’ engagement, one of the keys to any successful disease detection and response program. The data from the survey and the notification should therefore be used in a complementary way as a possible first important step in the process of prioritizing animal diseases, including zoonosis. This will allow a better implementation of pillars 1 and 3 of Cameroon’s Animal Health and Veterinary Public Health Policy.

4. Materials and Methods

4.1. Type, Period, and Area of Study

The study consisted of a systematic review of literature reporting major infectious diseases in the main food-producing species (cattle, pigs, small ruminants, and poultry) in Cameroon and a meta-analysis of their prevalence. The term “infectious disease” as used in the context of this work applies to parasitic, bacterial, and viral diseases following the definition given by the World health Organization. This study used secondary data and therefore ethical clearance was not required.

4.2. Search Strategy

A systematic review was conducted according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines [69]. Records were retrieved between November 2019 and March 2020 from three web databases, namely PubMed, African Journals online (AJOL), and Google scholar for articles published in French and English between 2000 and 2020. A search string with specific keywords for each database was developed and the PRISMA checklist was also used (Supplementary S2). Grey literature comprising theses were retrieved by onsite consultation at the libraries of the main higher education institutes training in animal health and husbandry. Reference lists of relevant articles were also screened for additional titles to be included in the review. National subject matter experts were contacted for additional articles. Full-text records on the prevalence, incidence, epidemiology, and/or risk factors of infectious diseases of target food-producing animals in Cameroon were included in the review. Only records published between January 2000 and March 2020 in French or English were taken into consideration. Search results were also limited to observational (cross-sectional or longitudinal) and non-randomized case-control studies conducted on target food-producing animals. Publications that did not respect the criteria listed above as well as those reporting randomized control trials were excluded from the review. A randomized controlled trial is performed under controlled conditions with random allocation of interventions to comparison groups to determine whether a cause–effect relation exists between an intervention and an outcome. This was irrelevant to the present study. Additional criteria were used to evaluate studies that were fit for meta-analysis. Studies were included in the meta-analysis if they reported the number of positive samples for the particular livestock diseases, the number of animals that had been tested, and the standard test used for diagnosis. Meta-analysis was done for diseases for which at least two studies met the aforementioned criteria [70].

4.3. Article Quality Assessment

Quality assessment of the primary studies was done to evaluate the reliability of studies using a modified version of a critical appraisal tool developed for use in systematic reviews addressing questions of prevalence [71]. Each publication was assessed using 8 specific questions (Supplementary S3) and the responses to each question were coded as “yes,” “no,” “irrelevant,” or “unclear”. They were then categorized into three groups: articles that had more than 75% of items answered “yes” were classified as “High quality” (H), articles that had between 50% and 75% of items answered “yes” were considered of “Medium quality” (M), and articles with less than 50% of items answered “yes” were considered of “Low quality” (L). Only “High quality” articles were included in the review as they showed low risk of bias.

4.4. Data Extraction and Analysis

Data were extracted from records that met the inclusion criteria and passed quality assessment. The information collected included publication information, disease condition (disease type, evidence of zoonotic potential), study design, and results (prevalence, risk factors). Descriptive statistics were carried out to characterize primary articles included in the study. The point estimate prevalence and 95% confidence interval (CI) for each disease and specific animal species pair were pooled using a random-effects model. Heterogeneity across the studies was assessed using the Cochrane Q statistics and was quantified with the I2 statistic [72]. The Begg rank correlation [73] and Egger regression asymmetry test [74] were used for publication bias analysis. If publication bias was confirmed, the trim-and-fill funnel plot-based model developed by Duval and Tweedie [75] was used to adjust for the bias. Subgroup analysis was performed according to the region for diseases that were reported in three or more different regions. Chi-square test was used to compare the pooled regional prevalence obtained. Meta-analysis was run separately for different parasitic, bacterial, and viral diseases paired with each animal species. A p-value of 0.05 was considered statistically significant, except for the test of heterogeneity which served only to estimate the magnitude of the true dispersion of the studies effect size [76]. The meta-analysis was conducted using Comprehensive Meta-Analysis Software (Biostat, Inc., Hoboken, NJ, USA) Version 3.0 for Windows.

5. Conclusions

This study highlights the distribution and prevalence of various bacterial, parasitic, and viral infections of pigs, cattle, small ruminants, and chicken in Cameroon based on published and grey literature after quality appraisal. Several diseases of livestock have been reported in Cameroon with high prevalence and evidence for the endemicity of major zoonotic infections in Cameroon warrants for enhanced public health interventions strategically targeting prioritized animal diseases for surveillance and control. Overall, there is dearth information concerning some infectious livestock diseases in Cameroon and the research is concentrated to some regions. There is need for research to be done on their epidemiology in the country, to provide information for efficient prevention and control strategies. This baseline data collected on infectious diseases can be a first step for national disease prioritization and can support the identification of dominant pathologies for livestock to define and adjust effective prevention and control measures to be implemented at (sub-) national level.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/pathogens12091076/s1, Supplementary Material S1. Figure S1. Forest plot of pooled prevalence of trypanosomiasis in pigs; Figure S2. Forest plot of pooled prevalence of trypanosomiasis in small ruminants; Figure S3. Forest plot of pooled prevalence of gastro intestinal parasites in cattle in Cameroon; Figure S4. Forest plot of pooled prevalence of fascioliasis in cattle in Cameroon; Figure S5. Forest plot of pooled prevalence of porcine cysticercosis in Cameroon; Figure S6. Forest plot of pooled prevalence of brucellosis in cattle in Cameroon; Figure S7. Forest plot of pooled prevalence of RVF in small ruminants in Cameroon; Figure S8. Forest plot of pooled prevalence of RVF in cattle in Cameroon; Figure S9. Forest plot of pooled prevalence of African swine fever in pigs in Cameroon; Table S1. Characteristic of studies reported the outcome of Trypanosomiasis infections in animal in Cameroon; Table S2. Pooled regional prevalences of trypanosomiasis in cattle; Table S3. Characteristics and distribution of studies reporting other hemoparasitic infections in animals in Cameroon; Table S4. Pooled prevalence of tick-borne parasites in ruminants in Cameroon; Table S5. Characteristics and distribution of studies reporting gastrointestinal parasites in animals in Cameroon; Table S6. Characteristics and distribution of studies reporting fascioliasis in Cameroon; Table S7. Pooled regional prevalences of fascioliasis in cattle in Cameroon; Table S8. Characteristics and distribution of studies reporting trematodes other than fascioliasis in animals in Cameroon; Table S9. Characteristics and distribution of studies reporting cysticercosis in Cameroon; Table S10. Pooled regional prevalence of porcine cysticercosis in Cameroon; Table S11. Characteristics and distribution of studies reporting cestode diseases other than cysticercosis in Cameroon; Table S12. Characteristics and distribution of studies reporting nematodes in animals in Cameroon; Table S13. Characteristics and distribution of studies reporting coccidiosis in animals in Cameroon; Table S14. Species of ticks reported in Cameroon; Table S15. Characteristics and distribution of studies reporting brucellosis in animals in Cameroon; Table S16. Regional pooled prevalence of brucellosis in cattle in Cameroon; Table S17. Characteristics and distribution of studies reporting tuberculosis in animals in Cameroon; Table S18. Pooled regional prevalence of bovine tuberculosis; Table S19. Characteristics and distribution of studies reporting salmonellosis, colibacillosis and campylobacteriosis in animals in Cameroon; Table S20. Characteristics and distribution of studies reporting other bacterial diseases in animals in Cameroon; Table S21. Characteristics and distributions of studies reporting FMD in animals in Cameroon; Table S22. Characteristics and distribution of studies reporting SRP in small ruminants in Cameroon; Table S23. Characteristics and distribution of studies reporting RVF in Cameroon; Table S24. Characteristics and distribution of studies reporting ASF and other viral diseases of pigs in Cameroon; Table S25. Characteristics and distribution of studies reporting other viral diseases of cattle in Cameroon; Table S26. Characteristics and distribution of studies reporting viral diseases of poultry in Cameroon. Supplementary Material S2. Prisma check list used; Supplementary Material S3. Study quality assessment form and decision.

Author Contributions

Conceptualization, M.M.M.M. and F.M.; investigation and data analysis, F.M., E.E.N.W. and M.M.M.M.; writing—original draft preparation, F.M., E.E.N.W., M.M.M.M. and S.E.M.; writing—review and editing, J.M.K.F., A.N.N., Y.M.M., M.A. and C.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work is funded through the Innovative Methods and Metrics for Agriculture and Nutrition Action (IMMANA) programme, led by the London School of Hygiene & Tropical Medicine (LSHTM). IMMANA is co-funded with UK Aid from the UK government and by the Bill & Melinda Gates Foundation, INV-002962/OPP1211308. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the “author accepted manuscript” version that might arise from this submission.

Institutional Review Board Statement

The scientific research and ethics committee of the School of Veterinary Medicine and Sciences of the University of Ngaoundéré, Cameroon (2020/019/UN/ESMV/D) approve for this research.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author.

Acknowledgments

The authors are grateful for the University of Montagnes, Faculty of Agronomy and Agricultural Sciences of the University of Dschang, National Epidemiology surveillance council, and the Ministry of Livestock, Fisheries and Animal Industries for their generous cooperation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jones, K.E.; Patel, N.G.; Levy, M.A.; Storeygard, A.; Balk, D.; Gittleman, J.L.; Daszak, P. Global trends in emerging infectious diseases. Nature 2008, 21, 990–993. [Google Scholar] [CrossRef] [PubMed]
  2. Motta, P.; Porphyre, T.; Handel, I.; Hamman, S.M.; Ngu-Ngwa, V.; Tanya, V.; Morgan, K.; Christley, R.; Bronsvoort, B.M. Implications of the cattle trade network in Cameroon for regional disease prevention and control. Sci. Rep. 2017, 7, 43932. [Google Scholar] [CrossRef]
  3. Tambi, N.E.; Maina, W.O.; Ndi, C. An estimation of the economic impact of contagious bovine pleuropneumonia in Africa. Rev. Sci. Tech. Int. Off. Epizoot. 2006, 25, 999–1011. [Google Scholar] [CrossRef]
  4. Gebreyes, W.A.; Dupouy-Camet, J.; Newport, M.J.; Oliveira, C.J.; Schlesinger, L.S.; Saif, Y.M. The global One Health paradigm: Challenges and opportunities for tackling infectious diseases at the human, animal, and environment interface in low-resource settings. PLoS Neglected Trop. Dis. 2014, 8, e3257. [Google Scholar] [CrossRef]
  5. Mouiche, M.M.M.; Noumedem, G.N.R.; Namegni, P.R.; Kameni Feussom, J.M.; Moffo, F.; Okah-Nnane, N.H.; Munshili Njifon, L.H.; Wade, A.; Awah-Ndukum, J. African swine fever in the northern regions of Cameroon: Seroprevalence survey and spatiotemporal analysis of outbreaks from 2010 to 2017. Trop. Anim. Health Prod. 2021, 53, 214. [Google Scholar] [CrossRef]
  6. Kouam, K.M.; Biekop, H.M.F.; Katte, B.; Teguia, A. Risk factors of Salmonella infection in laying hens in Menoua Division, Western region of Cameroon (Central Africa). Comp. Immunol. Microbiol. Inf. Dis. 2019, 67, 101370. [Google Scholar] [CrossRef] [PubMed]
  7. MINEPIA (Ministry of Livestock, Fisheries and Animal Industries). Document de Stratégies du Sous-Secteur de L’élevage, des Peches et des Industries Animales, Rapport; MINEPIA (Ministry of Livestock, Fisheries and Animal Industries): Yaoundé, Cameroon, 2011.
  8. Killewo, J.; Bazeyo, W.; Mdegela, R. One Health Central and Eastern Africa: Historical and Future Perspectives. Int. Encycl. Public Health 2017, 2, 342–347. [Google Scholar] [CrossRef]
  9. Belay, E.D.; Kile, J.C.; Hall, A.J.; Barton-Behravesh, C.; Parsons, M.B.; Salyer, S.J.; Walke, H. Zoonotic Disease Programs for Enhancing Global Health Security. Emerg. Inf. Dis. 2017, 23, 65–70. [Google Scholar] [CrossRef]
  10. Wenholtt, M.T.A.; Cardoen, S.; Imberechts, H.; Van Huffel, X.; Ooms, B.W.; Frewer, L.J. Defining Europeans preparedness and research needs regarding emerging infectious animal diseases: Results from a Delphi expert consultation. Prev. Vet. Med. 2012, 103, 81–92. [Google Scholar] [CrossRef]
  11. Mpouam, S.E.; Mingoas, J.P.K.; Mouiche, M.M.M.; Kameni Feussom, J.M.; Saegerman, C. Critical Systematic Review of Zoonoses and Transboundary Animal Diseases’Prioritization in Africa. Pathogens 2021, 10, 976. [Google Scholar] [CrossRef]
  12. RESCAM/DSV (Reseau D’épidemiosurveillance du Cameroun/Direction des Service Vétérinaire). Rapport Annuel du Reseau d’Epidemiosurveillance du Cameroun; RESCAM: Yaoundé, Cameroon, 2020. [Google Scholar]
  13. Asante, J.; Norredin, A.; El Zowalaty, M.E. Systematic review of important bacterial zoonoses in Africa in the last Decade in Light of the ‘One Health’ concept. Pathogens 2019, 8, 50. [Google Scholar] [CrossRef]
  14. Paguem, A.; Abanda, B.; Ndjonka, D.; Weber, J.S.; Ngomtcho, S.C.H.; Manchang, T.K.; Mamoudou, A.; Eisenbarth, A.; Renz, A.; Kelm, S.; et al. Widespread co-endemicity of Trypanosoma species infecting cattle in the SudanoSahelian and Guinea Savannah zones of Cameroon. BMC Vet. Res. 2019, 15, 344. [Google Scholar] [CrossRef] [PubMed]
  15. Mamoudou, A.; Zoli, A.; Mbahin, N.; Tanenbe, C.; Bourdanne, A.; Clausen, P.H.; Marcotty, T.; den Bossche, P.V.; Geerts, S. Prevalence and incidence of bovine trypanosomosis on the Adamaoua plateau in Cameroon 10 years after the tsetse eradication campaign. Vet. Parasitol. 2006, 142, 16–22. [Google Scholar] [CrossRef] [PubMed]
  16. Mamoudou, A.; Ebene, N.J.; Suh, P.F.; Mfopit, M.Y. Prevalence and impact of bovine trypanosomiasis in Mayo Rey division, a Soudano-Sahelian zone of Cameroon. J. Parasitol. Vector Biol. 2015, 7, 80–88. [Google Scholar] [CrossRef]
  17. Mamoudou, A.; Mbakou, L.M.; Ngu Ngwa, V.; Sevidzem, S.L.; Zoli, A.P.; Achukwi, M.D. Preliminary assesment of bovine trypanosomiasis and its vectors in Santa, Bali and Bafut Sub-divisions of the North West Region, Cameroon. Int. J. Biol. Chem. Sci. 2016, 10, 1–12. [Google Scholar] [CrossRef]
  18. Ngomtcho, S.C.H.; Weber, J.S.; Bum, N.E.; Gbem, T.T.; Kelm, S.; Achukwi, M.D. Molecular screening of tsetse flies and cattle reveal different Trypanosoma species including T. grayi and T. theileri in northern Cameroon. Parasites Vectors 2017, 10, 631. [Google Scholar] [CrossRef]
  19. Achukwi, M.D.; Musongong, G.A. Trypanosomosis in the Doayo/Namchi (Bos taurus) and zebu White Fulani (Bos indicus) cattle in Faro Division, North Cameroon. J. Appl. Biosci. 2009, 15, 807–814. [Google Scholar]
  20. Suh, P.F.; Njiokou, F.; Mamoudou, A.; Ahmadou, T.M.; Mouhaman, A.; Garabed, R. Bovine trypanosomiasis in tsetse-free pastoral zone of the Far-North region, Cameroon. J. Vector Borne Dis. 2017, 54, 263–269. [Google Scholar] [CrossRef]
  21. Mpouam, S.E.; Achukwi, M.D.; Feussom, K.J.M.; Bengaly, Z.; Ouedraogo, G.A. Serological and parasitological prevalence of bovine trypanosomosis in small holder farms of the Vina division, Adamawa region of Cameroon. J. Parasitol. Vect. Biol. 2011, 3, 44–51. [Google Scholar]
  22. Ikoum, D. Infestation et Prévalence de la Trypanosomose Bovine dans le Ranch de la SODEPA de Ndokayo. Ph.D. Thesis, School of Veterinary Medicine and Sciences, Ngaoundéré, Cameroon, 2017, unpublished. [Google Scholar]
  23. Mohamadou, B. Etude de la Prévalence de la Trypanosomose chez les Bovins Abattus à L’abattoir Municipal de Ngaoundéré. Ph.D. Thesis, School of Veterinary Medicine and Sciences, University of Ngaoundere, Ngaoundéré, Cameroon, 2017, unpublished. [Google Scholar]
  24. Tanenbe, C.; Gambo, H.; Musongong, A.G.; Boris, O.; Achukwi, M.D. Prévalence de la trypanosomose bovine dans les départements du Faro et Déo, et de la Vina au Cameroun: Bilan de vingt années de lutte contre les glossines. Rev. Élev. Méd. Vét. Pays Trop. 2010, 63, 63–69. [Google Scholar] [CrossRef]
  25. Soussai, F.O. Prévalences et Facteurs de Risques des Hémoparasites des Bovins Abattus à L’abattoir Municipal de Ngaoundéré. Ph.D. Thesis, School of Veterinary Medicine and Sciences, University of Ngaoundere, Ngaoundéré, Cameroon, 2017, unpublished. [Google Scholar]
  26. Awah-Ndukum, J.; Kudi, C.; Bradley, G.; Ane-Anyangwe, I.N.; Fon-Tebug, S.; Tchoumboue, J. Prevalence of Bovine Tuberculosis in Abattoirs of the Littoral and Western Highland Regions of Cameroon: A Cause for Public Health Concern. Vet. Med. Int. 2010, 2010, 495015. [Google Scholar] [CrossRef]
  27. Awah-Ndukum, J.; Tchoumoube, J.; Niba, T.A. Prevalence of bovine tuberculosis at the SODEPA Doual Abattoir Cameroon, (1995–2003). Camer. J. Exp. Biol. 2005, 1, 116–120. [Google Scholar]
  28. Awah-Ndukum, J.; Kudi, A.C.; Bah, G.S.; Bradley, G.; Tebug, S.F.; Dickmu, P.L.; Njakoi, H.N.; Agharih, W.N. Bovine Tuberculosis in Cattle in the Highlands of Cameroon: Seroprevalence Estimates and Rates of Tuberculin Skin Test Reactors at Modified Cut-Offs. Vet. Med. Int. 2012, 2012, 798502. [Google Scholar] [CrossRef] [PubMed]
  29. Egbe, N.F.; Muwonge, A.; Ndip, L.; Kelly, R.F.; Sander, M.; Tanya, V.; Ngu Ngwa, V.; Handel, I.G.; Morgan, K.L.; Asuquo, A.; et al. Abattoir-based estimates of mycobacterial infections in Cameroon. Sci. Rep. 2016, 6, 24320. [Google Scholar] [CrossRef]
  30. Koro, F.K.; Bouba Foko, E.; Ngatchou, A.F.; Eyangoh, S.; Etoa, F.-X. First Insight into the Current Prevalence of Bovine Tuberculosis in Cattle Slaughtered in Cameroon: The Case of Main Abattoirs of Yaoundé and Douala. British Microbiol. Res. J. 2013, 3, 272–279. [Google Scholar] [CrossRef]
  31. Manchang, K.T.; Mfopit, Y.M.; Julius, A.N.; Joseph, N.A.; Bah, G.S.; Bayemi, H. Seasonal Evaluation of Some Disease Conditions of Cattle Slaughtered in Ngaoundere-Municipal Abattoir, Cameroon. Int. J. Livest. Res. 2016, 6, 46–53. [Google Scholar] [CrossRef]
  32. Ngoudjou, M.S.V. Prévalence des Lésions Tuberculeuses Viscérale à L’abattoir de Douala. Ph.D. Thesis, Institut Supérieur des Sciences de la Santé, Université, des Montagnes, Bangangté, Cameroon, 2018, unpublished. [Google Scholar]
  33. Kouengoua, K.A.P. Etude des Lésions de la Tuberculose Bovine à L’abattoir de Yaoundé. Ph.D. Thesis, Institut Supérieur des Sciences de la Santé, Université, des Montagnes, Bangangté, Cameroon, 2014, unpublished. [Google Scholar]
  34. Yemelong, D.W.S. Prévalence de la Co-Infection Fasciolose et Tuberculose Bovine à L’abattoir de Bangangte. Ph.D. Thesis, Institut des Sciences de la Santé, Université, des Montagnes, Bangangté, Cameroon, 2019, unpublished. [Google Scholar]
  35. Kelly, R.F.; Callaby, R.; Egbe, N.; Williams, D.J.L.; Victor, N.N.; Tanya, V.N.; Sander, M.; Ndip, L.; Ngandolo, R.; Morgan, K.L.; et al. Association of Fasciola gigantica Co-infection with Bovine Tuberculosis Infection and Diagnosis in a Naturally Infected Cattle Population in Africa. Front. Vet. Sci. 2018, 5, 214. [Google Scholar] [CrossRef]
  36. Bronsvoort, B.M.C.; Anderson, J.; Corteyn, A.; Hamblin, P.; Kitching, R.P.; Nfon, C.; Tanya, V.N.; Morgan, K.L. Geographical and age-stratified distributions of foot-and-mouth disease virus-seropositive and probang-positive cattle herds in the Adamawa province of Cameroon. Vet. Record. 2006, 159, 299–308. [Google Scholar] [CrossRef]
  37. Morgan, K.L.; Handel, I.G.; Tanya, V.N.; Hamman, S.M.; Nfon, C.; Bergman, I.E.; Malirat, V.; Sorensen, K.J.; Bronsvoort, B.M. Accuracy of Herdsmen Reporting versus Serologic Testing for Estimating Foot-and-Mouth Disease Prevalence. Emerg. Inf. Dis. 2014, 20, 2048–2054. [Google Scholar] [CrossRef]
  38. Sevidzem, S.L.; Mamoudou, A.; Mavoungou, J.F.; Ikoum, D.; Lebale, M.B.O.; Hiol, V.D.; Nguema, M.R.; Zinga-Koumba, C.R.; Acapovi-Yao, G.L.; Dickmu, S.; et al. Serological Epidemiology of Foot-and-mouth Disease among Sedentary Mixed-species Herds in Adamawa Region, Cameroon. J. Adv. Microbiol. 2019, 17, 1–14. [Google Scholar] [CrossRef]
  39. Ludi, A.; Ahmed, Z.; Pomeroy, L.W.; Pauszek, S.J.; Smoliga, G.R.; Moritz, M.; Dickmu, S.; Abdoulkadiri, S.; Arzt, J.; Garabed, R.; et al. Serotype Diversity of Foot-and-Mouth-Disease Virus in Livestock without History of Vaccination in the Far North Region of Cameroon. Trans. Emerg. Dis. 2014, 63, 27–38. [Google Scholar] [CrossRef] [PubMed]
  40. Kuate, W.B.V. Prévalence et Facteurs de Risque par les Eleveurs de la Fièvre Aphteuse chez les Bovins dans les Départements de la Vina, du Diamare et du Logone-et-Chari. Ph.D. Thesis, School of Veterinary Medicine and Sciences, University of Ngaoundere, Ngaoundéré, Cameroon, 2016, unpublished. [Google Scholar]
  41. Beloko, S.L. Prévalence et Facteurs de Risques de la Fièvre Aphteuse Bovine dans le Marché à Bétail de Garoua-Boulaï et dans la Zone de Transhumance du Département du Lom et Djerem à l’Est-Cameroun. Ph.D. Thesis, School of Veterinary Medicine and Sciences, University of Ngaoundere, Ngaoundéré, Cameroon, 2019, unpublished. [Google Scholar]
  42. Modjo, K.E.L. Séroprévalence de la Fièvre Aphteuse chez les Bovins dans la Région du Nord Cameroun. Ph.D. Thesis, Institut Supérieur des Sciences de la Santé, Université, des Montagnes, Bangangté, Cameroon, 2014, unpublished. [Google Scholar]
  43. Barman, N.N.; Patil, S.S.; Kurli, R.; Deka, P.; Bora, D.P.; Deka, G.; Bora, D.P.; Ranjitha, K.M.; Shivaranjini, C.; Roy, P.; et al. Meta-analysis of the prevalence of livestock diseases in North Eastern Region of India. Vet. World 2020, 13, 80–89. [Google Scholar] [CrossRef] [PubMed]
  44. Njayou, N.A. Chaine de Valeur des Petits Ruminants au Cameroun; Yaoundé, Cameroon, 2017; pp. 12–13. [Google Scholar]
  45. Asfaw, Y.; Ameni, G.; Medhin, G.; Alemayehu, G.; Wieland, B. Infectious and parasitic diseases of poultry in Ethiopia: A systematic review and meta-analysis. Poult. Sci. 2019, 98, 6452–6462. [Google Scholar] [CrossRef] [PubMed]
  46. Berkelman, R.; Cassell, G.; Specter, S.; Hamburg, M.; Klugman, K. The “Achilles Heel” of Global Efforts to Combat Infectious Diseases. Clin. Inf. Dis. 2006, 42, 1503–1504. [Google Scholar] [CrossRef] [PubMed]
  47. Peeling, R.; McNermey, R. Increasing Access to Diagnostics through Technology Transfer and Local Production; LSHTM Research Online: London, UK, 2011. [Google Scholar]
  48. Dhama, K.; Wani, M.Y.; Tiwari, R.; Kumar, D. Molecular diagnosis of animal diseases: The current trends and perspectives. Livest. Sphere 2012, 1, 6–10. [Google Scholar]
  49. Tesfaye, D.; Speybroeck, N.; De Deken, R.; Thys, E. Fardeau économique de la trypanosomose bovine dans trois villages de la zone de Metekel, dans le nord-ouest de l’Éthiopie. Trop. Anim. Health Prod. 2012, 44, 873–879. [Google Scholar] [CrossRef]
  50. Odeniran, P.O.; Ademola, I.O. A meta-analysis of the prevalence of African animal trypanosomiasis in Nigeria from 1960 to 2017. Parasites Vectors 2018, 11, 280. [Google Scholar] [CrossRef]
  51. Leta, S.; Alemayehu, G.; Seyoum, Z.; Bezie, M. Prevalence of bovine trypanosomosis in Ethiopia: A meta-analysis. Parasites Vectors 2016, 9, 139. [Google Scholar] [CrossRef]
  52. Mamoudou, A.; Suh, P.F.; Ebene, N.J. Trypanosomes and helminths infections in Mayo Rey Division of Cameroon and impact of concurrent infections on cattle. J. Vet. Med. Anim. Health 2015, 7, 215–220. [Google Scholar] [CrossRef]
  53. Paramanandham, K.; Mohankumar, A.; Puttahonnappa Suresh, K.; Susan Jacob, S.; Roy, P. Prevalence of Anaplasma species in India and the World in dairy animals: A systematic review and meta-analysis. Res. Vet. Sci. 2019, 123, 159–170. [Google Scholar] [CrossRef]
  54. Haghi, M.M.; Etemadifar, F.; Fakhar, M.; Teshnizini, S.H.; Soosaraei, M.; Shokri, A.; Hajihasani, A.; Mashhadi, H. Status of babesiosis among domestic herbivores in Iran: A systematic review and meta-analysis. Parasitol. Res. 2017, 116, 1101–1109. [Google Scholar] [CrossRef]
  55. Awa, D.N.; Adakal, H.; Luogbou, N.D.D.; Wachong, K.H.; Leinyuy, I.; Achukwi, M.D. Cattle ticks in Cameroon: Is Rhipicephalus (Boophilus) microplus absent in Cameroon and the Central African region? Ticks Tick-Borne Dis. 2015, 6, 117–122. [Google Scholar] [CrossRef] [PubMed]
  56. Silatsa, B.A.; Simo, G.; Githaka, N.; Mwaura, S.; Kamga, R.M.; Oumarou, F.; Keambou, C.; Bishop, R.P.; Djikeng, A.; Kuiate, J.R.; et al. A comprehensive survey of the prevalence and spatial distribution of ticks infesting cattle in diferent agro-ecological zones of Cameroon. Parasites Vectors 2019, 12, 489. [Google Scholar] [CrossRef]
  57. Abebe, E.; Gugsa, G. A Review on Poultry Coccidiosis. Abyssinia J. Sci. Technol. 2018, 3, 1–12. [Google Scholar]
  58. Karshima, S.N.; Maikai, B.V.; Kwaga, J.K.P. Helminths of veterinary and zoonotic importance in Nigerian ruminants: A 46-year meta-analysis (1970–2016) of their prevalence and distribution. Inf. Dis. Poverty 2018, 7, 52. [Google Scholar] [CrossRef] [PubMed]
  59. Lamy, E.; Harten, S.V.; Sales-Baptista, E.; Guerra, M.M.M.; de Almeida, A.M. Environmental Stress and Amelioration on Livestock Production: Factors Influencing Livestock Productivity; Springer: Berlin/Heidelberg, Germany, 2012. [Google Scholar]
  60. Abakar, A.A. Prévalence et Impacts Economiques de la Fasciolose à L’abattoir Municipal de Ngaoundéré. Ph.D. Thesis, School of Veterinary Medicine and Sciences, University of Ngaoundere, Ngaoundéré, Cameroon, 2014, unpublished. [Google Scholar]
  61. Kouam, K.M.; Meningue, R.; Fon, D.E. Parasitic causes of organ condemnation in cattle slaughtered in Fako abattoirs, South-West region of Cameroon, and estimate of financial losses. J. Helminthol. 2018, 93, 367–371. [Google Scholar] [CrossRef]
  62. Awah-Ndukum, J.; Mouiche, M.M.M.; Kouonmo-Ngnoyum, L.; Bayang, H.N.; Manchang, T.K.; Poueme, R.S.N.; Kouamo, J.; Ngu Ngwa, V.; Assana, E.; Feusom, K.; et al. Seroprevalence and risk factors of brucellosis among slaughtered indigenous cattle, abattoir personnel and pregnant women in Ngaoundéré, Cameroon. BMC Inf. Dis. 2018, 18, 611. [Google Scholar] [CrossRef]
  63. Ngu-Ngwa, V.; Bessong-Takang, N.A.; Awah-Ndukum, J. Seroprevalence and Risk Factors of Leptospirosis among Slaughtered Cattle and Abattoir Workers in Ngaoundéré, Cameroon. Asian J. Res. Anim. Vet. Sci. 2020, 5, 8–19. [Google Scholar]
  64. MINEPIA (Ministry of Livestock, Fisheries and Animal Industries). Projet de Renforcement de la Surveillance Epidémiologique des Maladies Animales au Cameroun; MINEPIA (Ministry of Livestock, Fisheries and Animal Industries): Bamenda, Cameroon, 2014.
  65. MINEPIA (Ministry of Livestock, Fisheries and Animal Industries). Schéma Directeur Pour le Développement des Filières de L’élevage au Cameroun; MINEPIA (Ministry of Livestock, Fisheries and Animal Industries): Yaoundé, Cameroon, 2009.
  66. Douffissa, A. Recueil des Textes Régissant L’élevage, les Pêches et les Industries Animales, 2nd ed.; Réactualisée: Yaoundé, Cameroon, 2007. [Google Scholar]
  67. FAO (Food and Agricultural Organization of the United Nations). Economic Analysis of Animal Diseases; FAO: Rome, Italy, 2016. [Google Scholar]
  68. Bronsvoort, B.M.C.; Radford, A.D.; Tanya, V.N.; Nfon, C.; Kitching, R.P.; Morgan, K.L. Molecular Epidemiology of Foot-and-Mouth Disease Viruses in the Adamawa Province of Cameroon. J. Clin. Microbiol. 2004, 42, 2186–2196. [Google Scholar] [CrossRef]
  69. Page, M.J.; Moher, D.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. PRISMA 2021 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ 2021, 372, n160. [Google Scholar] [CrossRef]
  70. Valentine, J.C.; Pigott, T.D.; Rothstein, H.R. How Many Studies Do You Need? A Primer on Statistical Power for Meta-Analysis. J. Edu. Behav. Stat. 2009, 35, 215–247. [Google Scholar] [CrossRef]
  71. Munn, Z.; Moola, S.; Riitano, D.; Lisy, K. The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence. Int. J. Health Policy Manag. 2014, 3, 123–128. [Google Scholar] [CrossRef] [PubMed]
  72. Crowther, M.; Lim, W.; Crowther, M.A. Systematic review and meta-analysis methodology. Blood 2010, 116, 3140–3160. [Google Scholar] [CrossRef] [PubMed]
  73. Begg, C.B.; Mazumdar, M. Operating characteristics of a rank correlation test for publication bias. Biometrics 1994, 50, 1088–1101. [Google Scholar] [CrossRef] [PubMed]
  74. Egger, M.; Davey Smith, G.; Schneider, M.; Minder, C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997, 315, 629–634. [Google Scholar] [CrossRef]
  75. Duval, S.; Tweedie, R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 2000, 56, 455–463. [Google Scholar] [CrossRef]
  76. Boreisntein, M.; Hedges, V.L.; Higgins, P.T.J.; Rothstein, R.H. Introduction to Meta-Analysis, 2nd ed.; Willey: Hoboken, NJ, USA, 2021. [Google Scholar]
Pathogens 12 01076 g001
Figure 1. PRISMA flow-chart illustrating the study selection process for infectious diseases of production animals in Cameroon.
Figure 1. PRISMA flow-chart illustrating the study selection process for infectious diseases of production animals in Cameroon.
Pathogens 12 01076 g001
Pathogens 12 01076 g002
Figure 2. Map of Cameroon showing geographical distribution of number of disease studies (parasitic, bacterial, viral) with respect to animal species (cattle, sheep, goats, pigs, chicken).
Figure 2. Map of Cameroon showing geographical distribution of number of disease studies (parasitic, bacterial, viral) with respect to animal species (cattle, sheep, goats, pigs, chicken).
Pathogens 12 01076 g002
Pathogens 12 01076 g003
Figure 3. Forest plot of pooled prevalence of trypanosomiasis in cattle in Cameroon [14,15,16,17,18,19,20,21,22,23,24,25].
Figure 3. Forest plot of pooled prevalence of trypanosomiasis in cattle in Cameroon [14,15,16,17,18,19,20,21,22,23,24,25].
Pathogens 12 01076 g003
Pathogens 12 01076 g004
Figure 4. Frequency of report of various bacterial disease. Legend: CBPP: Contagious bovine Pleuropneumonia; CCPP: Contagious Caprine Pleuropneumonia.
Figure 4. Frequency of report of various bacterial disease. Legend: CBPP: Contagious bovine Pleuropneumonia; CCPP: Contagious Caprine Pleuropneumonia.
Pathogens 12 01076 g004
Pathogens 12 01076 g005
Figure 5. Forest plot of pooled prevalence of bovine tuberculosis in Cameroon [26,27,28,29,30,31,32,33,34,35].
Figure 5. Forest plot of pooled prevalence of bovine tuberculosis in Cameroon [26,27,28,29,30,31,32,33,34,35].
Pathogens 12 01076 g005
Pathogens 12 01076 g006
Figure 6. Forest plot of pooled prevalence of FMD in cattle in Cameroon [36,37,38,39,40,41,42].
Figure 6. Forest plot of pooled prevalence of FMD in cattle in Cameroon [36,37,38,39,40,41,42].
Pathogens 12 01076 g006
Table 1. General characteristics and distribution of studies included in the review.
Table 1. General characteristics and distribution of studies included in the review.
CharacteristicsNumber of Studies on Parasitic Diseases
N (%)		Number of Studies on Bacterial Diseases
N (%)		Number of Studies on Viral Diseases
N (%)		Total
N (%)
Region
Adamawa (AD)30 (31.91)14 (35.90)13 (36.11)57 (34.54)
Centre (C)5 (5.32)6 (15.38)8 (22.22)19 (11.51)
East (E)3 (3.19)2 (5.13)2 (5.55)7 (4.24)
Far North (FN)5 (5.32)5 (12.8)6 (16.67)16 (9.69)
Littoral (L)3 (3.19)4 (10.25)3 (8.33)10 (6.06)
North (N)15 (15.95)6 (15.38)10 (27.77)31 (18.78)
Northwest (NW)13 (13.83)12 (30.76)5 (13.88)30 (18.18)
South (S)2 (2.12)0 (0)3 (8.33)5 (3.03)
Southwest (SW)12 (12.76)1 (2.56)2 (5.55)15 (9.09)
West (W)20 (21.27)6 (15.38)8 (22.22)34 (20.60)
Study site not precise1 (1.06)0 (0)4 (11.11)5 (3.03)
Publication period
2000–20048 (8.51)1 (2.56)2 (5.55)11 (6.66)
2005–200910 (10.64)4 (10.25)1 (2.77)15 (9.09)
2010–201419 (20.21)13 (33.33)12 (33.33)44 (26.66)
2015–March 202057 (60.64)21 (53.84)21 (58.33)95 (57.58)
Species
Chicken7 (7.44)5 (12.82)5 (13.89)17 (10.30)
Pigs24 (25.53)2 (5.12)12 (33.33)37 (22.42)
Cattle50 (53.19)29 (74.35)14 (38.88)90 (54.54)
Sheep 14 (14.89)1 (2.56)7 (19.44)22 (13.33)
Goats15 (15.95)3 (7.69)6 (16.66)24 (14.54)
Type of material
Journal article56 (59.57)25 (64.10)22 (61.11)101 (61.21)
Dissertation (unpublished)38 (40.43)14 (35.90)14 (38.89)64 (38.79)
Language
English53 (56.38)25 (64.10)21 (58.33)99 (60)
French41 (43.62)14 (35.90)15 (41.67)66 (40)
Study design
Cross-sectional92 (97.87)37 (94.87)30 (83.33)155 (93.94)
Longitudinal2 (2.13)2 (5.13)6 (16.67)10 (6.06)
Samples
Blood42 (44.68)17 (43.58)21 (58.33)80 (48.48)
Fecal or rectal swab29 (30.85)5 (12.82)1 (2.77)35 (21.21)
Meat or carcass16 (17.02)12 (30.76)4 (11.11)36 (21.81)
Skin8 (8.51)4 (10.25)1(2.77)13 (7.87)
Others (milk, uterine swabs…)0 (0)4 (10.25)4 (11.11)8 (4.84)
Diagnostic methods
Serology (ELISA, RBPT, VN)9 (9.57)16 (41.02)16 (44.44)41 (24.26)
Molecular (PCR, sequencing)11 (11.70)1 (2.56)14 (38.88)26 (15.38)
PM/AM examination18 (19.15)11 (28.2)4 (11.11)33 (19.53)
Microscopy53 (56.38)8 (20.51)/61 (36.10)
Others 3 (3.19)3 (7.69)2 (5.55)8 (4.73)
Total 94 (56.97)39 (23.64)36 (21.82)169 (100)
Legend: ELISA: Enzyme-Linked Immunosorbent Assay; RBPT: Rose Bengal Plate Test; VN: Virus Neutralization; PCR: Polymerase Chain Reaction; PM: Postmortem; AM: Antemortem; TST: Tuberculin Skin Test.
Table 2. Summary of meta-analysis results of parasitic diseases of food-producing animals in Cameroon.
Table 2. Summary of meta-analysis results of parasitic diseases of food-producing animals in Cameroon.
Disease StudiedSpeciesN° of Study ResultsTotal
Number of
Samples		N° of
Positive
Samples		Meta-Analysis Data
ModelPooled
Prevalence
(%)		95% CITau2I2 (%)p-ValueRelative
Weight
Range (%)
TrypanosomiasisCattle1873691641Random20.9 14.9–28.70.78993.5140.0005.12–5.66
TrypanosomiasisGoats5963270Random28.4 12.7–51.91.23395.9340.00018.74–20.84
TrypanosomiasisPigs61491551Random54.239.6–68.20.50795.1690.00014.12–17.51
TrypanosomiasisSheep5657185Random28.4 12.7–51.91.23395.9340.00018.74–20.84
BabesiosisSmall ruminants4108135Random3.52.2–5.60.11947.5190.16718.87–30.87
BabesiosisCattle2 925208Random21.64.9–59.71.45598.9560.00049.85–50.15
TheileriosisSmall ruminants5147842Random4.91.9–11.81.07996.1640.00018.49–21.45
Anaplasmosissmall ruminants 51478189Random13.06.2–25.20.81697.7920.00019.32–20.56
AnaplasmosisCattle2925324Random35.14.7–85.52.95199.5460.00049.96–50.04
Gastrointestinal parasitesCattle61690989Random57.445.3–68.70.35495.6220.00016.34–17.06
Gastrointestinal parasitesPoultry317011076Random67.248.3–81.80.46988.6320.00032.87–33.78
Gastrointestinal parasitesPigs3741638Random88.078.2–93.80.32897.9880.00024.66–37.79
FascioliasisCattle1618,5103581Random17.311.0–26.21.11499.390.0005.46–6.47
FascioliasisSmall
Ruminants		31085110Random8.82.1–30.21.71097.7270.00019.38–58.21
ParamphistomosisCattle41415228Random12.64.5–30.81.25197.8340.00021.98–26.11
ParamphistomosisGoats246029Random19.73.2–64.72.98298.4630.00049.48–50.52
ParamphistomosisPigs2495171Random23.0 5.4–61.01.37396.0560.00048.39–51.61
CysticercosisPigs107553348Random6.23.3–11.30.94096.0920.0003.8–11.74
CoccidiosisPoultry425811276Random49.228.0–70.70.85999.1070.00024.86–25.12
CoccidiosisCattle266043Random4.51.1–17.01.00387.6280.00445.05–54.96
CoccidiosisGoats2349122Random55.12.8–97.50.00099.1030.00049.79–50.21
CoccidiosisPigs41677521Random30.210.3–61.92.15798.9830.00024.92–25.10
MonieziosisCattle3101536Random3.62.4–5.40.04430.1200.23912.29–46.27
Strongylus spp.Cattle51244552Random34.517.2–57.21.09798.0190.00019.71–20.34
Strongylus spp.Pigs41419677Random48.628.6–69.10.75098.1820.00024.23–25.35
Trichuris spp.Cattle255544Random3.00.1–43.64.96790.5940.00145.54–54.46
Trichuris spp.Pigs4128181Random4.40.8–20.92.99796.8180.00023.58–26.04
Strongyloides spp.Pigs51677326Random22.014.1–32.60.35894.5020.00019.41–20.55
Strongyloides spp.Cattle41104121Random12.43.6–35.11.83497.5810.00024.72–25.23
Strongyloides spp.Sheep230330Random7.90.6–56.83.73496.0580.00048.69–51.31
Strongyloides spp.Goats355463Random10.01.0–54.34.28397.9490.00032.82–33.79
Strongyloides spp.Poultry21272108Random8.57.1–10.20.0000.0000.90929.6–70.33
Ascaridia spp.Poultry31701360Random22.911.8–39.70.48897.7220.00033.14–33.49
Heterakis spp.Poultry31701295Random18.47.3–39.50.86598.4420.00033.18–33.44
Capillaria spp.Poultry21318109Random8.93.7–19.70.42595.4230.00049.95–50.05
Legend: CI: Confidence interval; I2: Inverse variance index; Tau2: the tau-squared is the between-study variance.
Table 3. Summary of meta-analysis results of bacterial diseases of food-producing animals in Cameroon.
Table 3. Summary of meta-analysis results of bacterial diseases of food-producing animals in Cameroon.
Disease StudiedSpeciesN° of Study ResultsTotal Number of SamplesN° of Positive SamplesMeta-Analysis Data
ModelPooled Prevalence (%)95% CITau2I2 (%)p-ValueRelative Weight Range (%)
TuberculosisCattle15121,6121588random3.31.5–6.92.39599.7240.0006.45–6.73
BrucellosisCattle106776436Random7.04.8–10.00.37293.5140.0008.10–10.55
BrucellosisPigs2108120Random8.00.0–17.404.77882.3090.01741.60–58.40
SalmonellosisPoultry3484343Random48.212.9–65.52.35997.2990.00026.16–37.02
LeptospirosisCattle2154935Random2.50.0–64.29.20298.4480.00049.43–50.57
PasteurellosisCattle3362198Random55.539.2–70.70.29287.9340.00029.20–36.02
Legend: CI: Confidence interval; I2: Inverse variance index; Tau2: the tau-squared is the between-study variance.
Table 4. Summary of meta-analysis results of various viral diseases of food-producing animals in Cameroon.
Table 4. Summary of meta-analysis results of various viral diseases of food-producing animals in Cameroon.
Disease StudiedSpeciesN° of Study ResultsTotal Number of SamplesN° of Positive SamplesMeta-Analysis Data
ModelPooled Prevalence (%)95% CITau2I2 (%)p-ValueRelative Weight Range (%)
Foot-and-Mouth DiseaseCattle919,7784897Random39.420.4–62.42.00099.6790.00011.03–11.16
Sheep31251128Random8.13.6–17.40.55193.1940.00032.66–34.30
Pigs265829Random4.43.1–6.30.0000.0000.7106.97–93.03
Peste des Petits RuminantsSmall ruminants42090791Random39.730.8–49.40.13388.7680.00018.81–29.41
Rift Valley FeverSmall ruminants10152553Random3.72.9–4.90.0000.0000.5661.82–28.12
Cattle72532256Random10.98.0–14.70.14981.7220.0002.47–18.62
African Swine FeverPigs62472643Random18.98.9–35.61.11798.1500.00015.32–17.37
Hepatitis EPigs550773Random8.42.1–28.02.11492.8620.00013.06–24.74
Legend: CI: Confidence interval; I2: Inverse variance index; Tau2: the tau-squared is the between-study variance.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Mouliom Mouiche, M.M.; Nguemou Wafo, E.E.; Mpouam, S.E.; Moffo, F.; Kameni Feussom, J.M.; Njayou Ngapagna, A.; Mfopit, Y.M.; Saegerman, C.; Abdoulmoumini, M. Zoo-Sanitary Situation Assessment, an Initial Step in Country Disease Prioritization Process: Systematic Review and Meta-Analysis from 2000 to 2020 in Cameroon. Pathogens 2023, 12, 1076. https://doi.org/10.3390/pathogens12091076

AMA Style

Mouliom Mouiche MM, Nguemou Wafo EE, Mpouam SE, Moffo F, Kameni Feussom JM, Njayou Ngapagna A, Mfopit YM, Saegerman C, Abdoulmoumini M. Zoo-Sanitary Situation Assessment, an Initial Step in Country Disease Prioritization Process: Systematic Review and Meta-Analysis from 2000 to 2020 in Cameroon. Pathogens. 2023; 12(9):1076. https://doi.org/10.3390/pathogens12091076

Chicago/Turabian Style

Mouliom Mouiche, Mohamed Moctar, Eugenie Elvire Nguemou Wafo, Serge Eugene Mpouam, Frédéric Moffo, Jean Marc Kameni Feussom, Arouna Njayou Ngapagna, Youssouf Mouliom Mfopit, Claude Saegerman, and Mamoudou Abdoulmoumini. 2023. "Zoo-Sanitary Situation Assessment, an Initial Step in Country Disease Prioritization Process: Systematic Review and Meta-Analysis from 2000 to 2020 in Cameroon" Pathogens 12, no. 9: 1076. https://doi.org/10.3390/pathogens12091076

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop