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Systematic Review

Prevalence of Fascioliasis in Livestock and Humans in Pakistan: A Systematic Review and Meta-Analysis

1
Department of Biosciences, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan
2
School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Albury, NSW 2640, Australia
3
Department of Life Sciences, University of Management & Technology (UMT), Lahore 54770, Pakistan
4
Department of Statistics, University of Gujrat, Gujrat 50700, Pakistan
5
Department of Mathematics and Statistics, Université Laval, Quebec City, QC G1V 0A6, Canada
6
Department of Zoology, University of Gujrat, Gujrat 50700, Pakistan
7
Department of Parasitology, Faculty of Veterinary Sciences, Firat University, Elazig 23119, Turkey
8
Department of Humanities, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan
9
Industrial and Systems Engineering Department, College of Computing and Mathematics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
10
Interdisciplinary Research Center for Smart Mobility & Logistics, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
11
National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai 200025, China
12
Key Laboratory of Parasite and Vector Biology, National Health Commission of the People’s Republic of China, World Health Organization Collaborating Center for Tropical Diseases, Shanghai 200025, China
13
The School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
*
Authors to whom correspondence should be addressed.
Trop. Med. Infect. Dis. 2022, 7(7), 126; https://doi.org/10.3390/tropicalmed7070126
Submission received: 21 April 2022 / Revised: 19 May 2022 / Accepted: 26 May 2022 / Published: 7 July 2022
(This article belongs to the Special Issue Trematode Infections in the Asian Perspective)

Abstract

:
Fascioliasis is a parasitic infection that affects both livestock and humans. Understanding the distribution of Fasciola spp. can help the development of preventive measures to control fascioliasis. This systematic review and meta-analysis aimed to estimate the status of fascioliasis among livestock and humans in Pakistan between 2000 and 2020. Based on the selection criteria, 25 articles were selected from Google Scholar, PubMed, and Scopus. This review included 76,099 animals, including 13,738 that were positive for fascioliasis. The overall prevalence was 18.1%; it was 0.3% in humans and 20.1% in livestock. Among animal hosts, the prevalence was highest in sheep (53.5%), followed by the goats (44.9%), cows (21.3%), buffaloes (16.8%), cattle (12.7%), and humans (0.3%). Sindh had the highest prevalence at 42.7%, followed by Baluchistan (25.2%), Punjab (17.7%), Khyber Pakhtunkhwa (10.7%), and Islamabad capital territory (1.5%). In the Punjab province, sheep had the highest prevalence (65.7%); in Khyber Pakhtunkhwa, it was buffalo (15.9%); and in Baluchistan, it was cows (28.5%). The prevalence of Fasciola spp. was higher in Sindh and Baluchistan than in the other provinces. The presented results are essential for developing preventive approaches for the management of human health and minimizing economic loss in the livestock industry in Pakistan. Preventive-curative treatments two times a year followed by a prophylactic treatment at the end of the dry season are crucial throughout the areas of Pakistan that serve as hotspots for infection by Fasciola sp. For humans, regular, prioritized surveys must be performed for high-risk populations so that the real situation can be assessed and addressed in a timely manner.

1. Introduction

Fascioliasis is a parasitic disease caused by Fasciola spp. and is well recognized because of its immense impact on the health of host animals. Fascioliasis is transmitted to herbivorous animals and humans through the consumption of contaminated water and green vegetables [1]. According to the World Health Organization, fascioliasis affects at least 17 million individuals in more than 70 countries around the globe [2]. Further, Fasciola spp. causes huge economic losses in the livestock industry by affecting meat and milk production [3]. Fascioliasis in livestock is characterized by liver seizures, low reproductive capability, and delays in diagnosis that are associated with high death rates [3]. The main causative agents of fascioliasis are Fasciola gigantica and Fasciola hepatica [4]. F. gigantica is common in Asia and Africa, while F. hepatica is spread across all the continents. Both species follow two host life cycles: (1) that of the Lymnaeidae family of fresh-water snails that act as vectors or intermediates, and (2) that of large-size herbivorous species and a wide range of mammals including humans [5]. Human fascioliasis may be foodborne, waterborne, or both. Foodborne human fascioliasis is caused by the ingestion of wild plants and vegetables, while waterborne human fascioliasis is caused by the consumption of parasite-contaminated water [6]. However, to date, there has been very little research on the transmission of fascioliasis in human beings [4].
The most common techniques for the diagnosis of fascioliasis include the direct parasitological method (identification of eggs in the feces of animals and in duodenal or bile samples for human fascioliasis. Microscopic examination of eggs has high specificity and sensitivity, while direct smear analysis is useful for the rapid detection and classification of helminth eggs [7,8]. However, accurate and species-specific identification of eggs remains a challenge because about 59 types of intestinal fluke cause various parasitic foodborne diseases in Southeast Asian regions. As the eggs of these parasitic species are morphologically similar, it is difficult to accurately identify the species-specific eggs from feces [5,9,10]. Instead, the PCR method can be used for differentiation of Fasciola species [11,12], and specific Fasciola-specific antigens can also be identified with ELISA or immunoblotting [13].
The prevalence of fascioliasis has been reported in various continents. Ten studies from Mexico [14,15], Argentina [16,17], Brazil [18], Peru [19], and Colombia [20] showed that the prevalence of fascioliasis in these five countries between 2000 and 2015 was 24.5% to 100% in goats, 8.87% to 100% in sheep, 11.4% to 24.4% in buffaloes, and 3% to 66.7% in cattle [21]. The prevalence of fascioliasis was also recorded in Pakistan, China, Saudi Arabia, Iraq, Iran, Russia, Turkey, Thailand, Nepal, Vietnam, Japan, Philippines, Korea, Cambodia, and Bangladesh in Asia. According to the results of 41 studies on 13 countries in Asia, the highest incidence during 2000–2015 was found in cattle (0.71–69.2%), and it was followed by buffaloes (2.08–68.0%), sheep (0.35–31.4%), and goats (0.0–47%). Three studies reported the incidence of fascioliasis during 2000–2015 in Papua New Guinea and Australia; it was the highest in cattle (26.5–81%) and the lowest in sheep (5.5–52.2%). Further, 23 studies reported data for 11 countries in Europe for 2000–2015; the highest prevalence was found in cattle (0.12–86%), and the lowest prevalence was found in goats (0.0–0.8%) [21]. For Africa, 31 studies reported data for 2000–2015; the incidence was the highest in cattle (1.2–91%) and the lowest in sheep (0.19–73.7%) [21]. In Iran, which is a neighboring country of Pakistan, the mean prevalence reported for the period 2000–2016 was 4.2% in cattle, 2.4% in goats, 2% in sheep, and 21% in buffaloes [22].
Fascioliasis has been reported as most prevalent in the densely populated province of Punjab, Pakistan [23]. The majority of the population is dependent on the rearing of livestock, including cattle, buffaloes, sheep, and goats [23]. Climatic variations serve as a key factor for the spread of fascioliasis, the incidence of which varies on both a monthly and annual basis [24,25]; in dry climatic conditions, a significantly lower number of fascioliasis infections are observed in Pakistan [24]. Although many studies in the literature address fascioliasis in humans and livestock species from Pakistan, the exact prevalence of this disease is still unknown. By considering the epidemiological aspects of the fascioliasis burden in humans and animals at national and international levels, the health and economic burden of this infection can be calculated. This will help the creation and implementation of preventive programs against the disease which will prove useful in the future from economic and health perspectives.
The present systematic review aimed to determine the distribution pattern and prevalence of fascioliasis among livestock and humans in various endemic areas of Pakistan in the period from 2000 to 2020.

2. Materials and Methods

2.1. Data Collection and Extraction

We searched the published literature on the prevalence of fascioliasis in livestock and in human hosts in Pakistan and identified the 30 most relevant articles published between 2000 and 2020 (Table 1). More studies were published in 2012 than in the other years between 2000 and 2020, as shown in Table 1 and Figure 1. All the data were collected and extracted by the three authors in order to determine the prevalence rate of fascioliasis in Pakistan.

2.2. Search Strategy

The keywords “prevalence”, “fascioliasis”, “Pakistan”, “humans, “livestock”, “cattle”, “buffaloes”, “goats”, “cow”, and “sheep” were used either separately or in combination to search for relevant articles published in the period of 2000–2020.

2.3. Inclusion and Exclusion Criteria

For this meta-analysis, original articles and epidemiological studies on fascioliasis in humans and livestock were selected and examined thoroughly to identify those that reported the infection rate in Pakistan. Incomplete studies (for example, articles with abstracts only), irrelevant studies (for example, articles that did not report any Fasciola species diseases), duplicate studies, and articles that could not be accessed were excluded.

2.4. Databases

The English-language databases PubMed, Google Scholar, ScienceDirect, and Scopus were searched.

2.5. Publication Bias and Heterogeneity Assessment

The confidence interval and effect size for each study was calculated and is represented by the forest plot in Figure 2. Potential publication biases in the selected studies were analyzed with the help of a funnel plot (Figure 3) and Egger’s test. The I2 index, tau2, and Cochran’s Q test were used for incoherence and heterogeneity assessment. If heterogeneity was detected, we used the random-effects model and fixed-effects model to estimate heterogeneity among the selected studies. For the random-effects model, the DerSimonian–Laird (1986) estimate was used, and, for adjustment of the test results and confidence interval (CI), the Hartung and Knapp (2003) correction was used.

3. Results

3.1. Fascioliasis in Humans

Two studies—one each from Punjab and Khyber Pakhtunkhwa (KPK)—reported fascioliasis in humans (Table 1). Based on the data of these studies, the overall prevalence in humans was 0.3 (Table 2). According to the provisional distribution data, the prevalence was higher in KPK (0.7%) than in Punjab (0.3%) between 2000 and 2020, as shown in Table 3. In KPK, F. hepatica was analyzed, while, in Punjab, both F. hepatica and F. gigantica were analyzed.

3.2. Fascioliasis in Sheep

A total of 12 studies from four provinces, namely, Punjab, KPK, Baluchistan, and ICT, reported data on fascioliasis in sheep (Figure 1). The overall prevalence in sheep was 53.5%, as shown in Table 2. According to the provisional distribution data, Punjab had the highest prevalence 65.7%, and it was followed in descending order by Baluchistan 19.9%, KPK 15.7% and ICT 4.4% (Table 3).

3.3. Fascioliasis in Goat

Ten studies reported fascioliasis data on goats in 2000–2020 from four provinces—Punjab, KPK, Baluchistan, and ICT (Figure 1). The overall prevalence was 44.9%, as shown in Table 2. According to the provisional distribution data, Punjab had the highest prevalence 53.3%, and it was followed by Baluchistan 27.9%, KPK 11.4%, and ICT 0.6% (Table 3).

3.4. Fascioliasis in Buffalo

Nine studies on the incidence of fascioliasis in buffaloes were conducted in four provinces, namely, Punjab, KPK, Sindh, and Baluchistan, during the period 2000–2020, as shown in Figure 1. The overall prevalence in buffaloes was 16.8% (Table 2). According to the provisional distribution data, Sindh had the highest prevalence 42.7%, and it was followed by Baluchistan 25%, KPK 15.9% and Punjab 15.4%, as shown in Table 3.

3.5. Fascioliasis in Cattle

Five studies on cattle data were conducted in Punjab and one study in KPK in the period 2000–2020 (Figure 1). The overall prevalence was 12.7% (Table 2), as well as the prevalence in Punjab was 12.8% and KPK 5.9%, as shown in Table 3.

3.6. Fascioliasis in Cow

A total of four studies from KPK and Baluchistan conducted between 2000 and 2020 reported the fascioliasis incidence in cows (Figure 1). The overall prevalence was 21.3%. Baluchistan had a higher prevalence 28.5% than KPK 13.3%, as shown in Table 3.

3.7. Publication Bias and Heterogeneity

According to the results of Egger’s test (0.161), with the exception of the studies on goats, there was no publication bias in any of the other studies (Figure 3). Therefore, overall, there was no publication bias in the literature included in this review (Figure 3). Further, Egger’s test was used for the analysis of publication bias in each subgroup, as shown in Table 4. Subgroup analysis was conducted because there was high heterogeneity between all the studies (I2 = 99.7%) (Table 3), but the heterogeneity was not significant for studies conducted on fascioliasis in human hosts (I2 = 65.8%) and studies from Baluchistan (I2 = 74.3%).

4. Discussion

The present study reviews data on the prevalence of fascioliasis in humans and domestic livestock in Pakistan. Across all the reviewed studies, 13,720 samples from all hosts were positive for Fasciola spp. With regard to the prevalence of fascioliasis in different animal hosts (sheep, goats, buffaloes, cattle, and cows), sheep exhibited the highest prevalence overall in Pakistan based on data collected between 2000 and 2020 (Table 1). According to the provisional distribution data, the province of Punjab had a higher number of infected sheep than other domestic livestock [50]. Snails serve as the intermediate hosts for the transmission of Fasciola sp. Floods, rain, and irrigation systems support snails [51], and this may lead to the outbreak of fasciolosis in sheep and cattle under such environmental conditions. These favorable conditions predominantly exist throughout the Punjab provinces and are conducive for the transmission of Fasciola sp. [23,24], except in the northern highlands of the region, where decreased infections were encountered [23].
According to the provisional distribution data, Sindh had an overall higher incidence of fascioliasis in buffaloes than in other livestock animals between 2000 and 2020. A study [52] from another Asian country, Bangladesh, reported that Satkania in the Chittagong district is the most vulnerable place for infections (50%) caused by trematode parasites. Similar to the present findings, other studies reported the incidence of Fasciola spp. in buffaloes as 44.70% [53] and 50.0% [54] in Hunan Province, China, and Southern Mindanao, Phillipines, respectively. F. gigantica is the main infectious agent in tropical, irrigated lowland rice fields [55], which are characteristic of the Sindh province. This may explain the higher infection rate in buffaloes in this province. One of the studies conducted in Sindh found that the prevalence of fascioliasis was higher in winter than in summer because the rate of infection increases with the rate of humidity in environment [39], and similar observations were reported in another study [56].
Fascioliasis in livestock results in remarkable economic losses worldwide. Globally, liver infection with Fasciola spp. is estimated to result in losses of USD 3.2 billion per annum in the livestock industry [21]. Research on the prevention of fascioliasis transmission could help counter such economic losses in the industry. Movement of animals is frequent in Pakistan, and this might play a role in high parasite gene flow [57]. Accordingly, one study reported that transportation of livestock animals contributes to high gene flow, new parasites, and exposure of hosts to various parasite populations [26]. The current review provides an overview of the distribution of fascioliasis according to host species and geographical location and may, therefore, be useful for understanding the patterns of transmission. Based on the epidemiological data, measures could be developed and implemented to prevent the transmission of fascioliasis.
Some of the limitations of the present review are the low number of studies on humans and a few other host animals, such as cows and cattle, the lack of standard diagnostic techniques used to measure prevalence, the lack of data on risk factors, and insufficient data regarding intermediate hosts such as snails (which were not included in the present study). These limitations could have resulted in a bias in the calculation of the prevalence of fascioliasis in host species in Pakistan.

5. Conclusions

Fascioliasis is a neglected, global zoonotic disease that is prevalent among buffaloes and sheep in Pakistan. The data indicate the threat posed to human health and economic losses in underdeveloped areas. Based on the data, precautionary measures, such as increased screening for fascioliasis, provision of clean drinking water, safe water irrigation in agricultural fields, and preventive treatment of animals in endemic areas, might help decrease the incidence of fascioliasis in Pakistan.

Author Contributions

Conceptualization, H.A., J.C., S.I. and M.J.; methodology, M.J.; software, M.J. and S.W.; validation, H.M., T.M., M.R., and S.Y.; formal analysis, M.R. and H.M.; investigation, H.M.; resources, H.A.; data curation, M.R.; writing—original draft preparation, H.M. and M.R.; writing—review and editing, H.A., M.R., M.R.K. and M.S.A.; visualization, M.R.; supervision, H.A., J.C., and S.S.; project administration, M.R. and H.M.; funding acquisition, J.C. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the National Natural Science Foundation of China (nos. 81971969 and 81772225 to J.C.) and the Three-Year Public Health Action Plan (2020–2022) of Shanghai (no. GWV-10.1-XK13 to J.C.). The funders had no role in the study design, the data collection and analysis, the decision to publish, or the preparation of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors wish to acknowledge all the researchers whose publications were used in our review for their impactful work on diseases caused by flukes in Pakistan.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. PRISMA flowchart describing the study design process.
Figure 1. PRISMA flowchart describing the study design process.
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Figure 2. Forest plot diagram depicting the prevalence of fascioliasis in human and domestic animals [24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49].
Figure 2. Forest plot diagram depicting the prevalence of fascioliasis in human and domestic animals [24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49].
Tropicalmed 07 00126 g002
Figure 3. Funnel plot for studies included in the meta-analysis.
Figure 3. Funnel plot for studies included in the meta-analysis.
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Table 1. Summary of the main characteristics of the studies included in the systematic review and meta-analysis.
Table 1. Summary of the main characteristics of the studies included in the systematic review and meta-analysis.
ProvinceSpeciesHostDetection MethodNo. of Samples ExaminedNo. of Positive SamplesProportion of Positive SamplesReference
Khyber Pakhtunkhwa (KPK)Fasciola spp.SheepFM, Mic100520.52[26]
PunjabF. hepaticaSheepELISA203850.4187[27]
PunjabF. hepaticaGoatELISA181580.3204[27]
KPKF. hepaticaHumanDS, Mic54040.0074[28]
PunjabFasciola spp.GoatSed, MT, Mic240950.3958[29]
PunjabFasciola spp.SheepSed, MT, Mic150630.42[29]
KPKF. hepaticaCowDS, FF172240.1395[30]
KPKF. giganticaCowDS, FF172100.0581[30]
KPKF. hepaticaSheepDS, FF339200.059[30]
KPKF. giganticaSheepDS, FF339130.0383[30]
PunjabF. hepaticaCattleSed, Mic237390.1646[31]
PunjabF. giganticaCattleSed, Mic237200.0844[31]
KPKF. hepaticaCattlePCR, Mic307180.0586[32]
PunjabF. hepaticaBuffaloPCR, Mic30003690.123[33]
PunjabF. hepaticaGoatSed, FM500160.032[34]
PunjabF. giganticaGoatSed, FM50030.006[34]
PunjabF. hepaticaSheepSed, FM500110.022[34]
PunjabF. giganticaSheepSed, FM50040.008[34]
PunjabFasciola spp.SheepFF217210320.4751[35]
PunjabFasciola spp.SheepFF217211400.5249[35]
PunjabFasciola spp.GoatFF22687030.31[35]
PunjabFasciola spp.GoatFF22689410.4149[35]
PunjabF. hepaticaCattleSed, Mic, FM500450.09[35]
PunjabF. giganticaCattleSed, Mic, FM50050.01[35]
KPKF. hepaticaBuffaloPM80110.1375[36]
KPKF. hepaticaCowPM4020.05[36]
KPKF. hepaticaSheepPM4000[36]
KPKF. hepaticaGoatPM4000[36]
KPKFasciola spp.SheepFS, EC, Sed380500.1316[37]
KPKFasciola spp.GoatFS, EC, Sed400500.125[37]
PunjabF. hepaticaSheepPCR, Bile samples200170.085[38]
PunjabF. hepaticaGoatPCR, Bile samples200100.05[38]
SindhF. giganticaBuffaloDS, Sed18007680.4267[39]
PunjabFasciola spp.BuffaloMic720010580.1469[24]
PunjabF. giganticaCattlePM, DS, Sed, FM15,63220430.1307[40]
PunjabF. hepaticaSheepSed, FM, Mic5231120.2141[41]
PunjabFasciola spp.BuffaloMT, EC12004150.3458[42]
PunjabFasciola spp.CattleMT, EC12002390.1992[42]
ICTFasciola spp.SheepSed, FM, Mic9040.0444[43]
ICTFasciola spp.GoatSed, FM, Mic31020.0065[43]
PunjabF. hepaticaBuffaloEE2400160.0067[44]
PunjabF. giganticaBuffaloEE24004330.1804[44]
PunjabF. hepaticaCattleEE2400570.0238[44]
PunjabF. giganticaCattleEE24001050.0437[44]
BaluchistanF. hepaticaCowPM396640.1616[45]
BaluchistanF. giganticaCowPM396490.1237[45]
BaluchistanF. hepaticaBuffaloPM340390.1147[45]
BaluchistanF. giganticaBuffaloPM340460.1353[45]
PunjabF. hepaticaGoatFM, Sed80230.2875[46]
BaluchistanF. hepaticaSheepPM261200.0766[47]
BaluchistanF. hepatica, F. giganticaSheepPM261320.1226[47]
BaluchistanF. hepaticaGoatPM4330.0698[47]
BaluchistanF. hepatica, F. giganticaGoatPM4390.2093[47]
PunjabF. hepatica, F. giganticaHumanFF7200210.0029[48]
PunjabF. giganticaBuffaloFM, Sed21,92832260.1471[49]
FM = flotation method; Mic = microscope; DS = direct smear; Sed = sedimentation; MT; McMaster technique; FF = fecal flotation; PM = postmortem; FS = fresh smear; EC = egg count; EE = egg examination.
Table 2. Prevalence of fasciolosis according to host and geographical location in Pakistan.
Table 2. Prevalence of fasciolosis according to host and geographical location in Pakistan.
TypeHost/ProvinceNo. of StudiesNo. of Samples ExaminedNo. of Positive SamplesPrevalence
HostHuman27740250.3%
Sheep124958265553.5%
Goat104262191344.9%
Buffalo938,113640916.8%
Cattle620,276257112.7%
Cow475016021.3%
Overall4176,09913,73818.1%
RegionPunjab1570,11412,40917.7%
KPK6274529310.7%
Baluchistan2104026225.2%
Sindh1180076842.7%
ICT140061.5%
Overall2576,09913,73818.1%
Table 3. Geographical distribution and prevalence of Fasciola spp. in different hosts.
Table 3. Geographical distribution and prevalence of Fasciola spp. in different hosts.
ProvinceHostNo. of StudiesNo. of Samples ExaminedNo. of Positive SamplesPrevalence
PunjabHuman17200210.3%
Sheep63748246465.7%
Goat63469184953.3%
Buffalo535,728551715.4%
Cattle519,969255312.8%
Total-70,11412,40917.7%
Khyber PakhtunkhwaHuman154040.7%
Sheep485913515.7%
Goat24405011.4%
Buffalo22453915.9%
Cow33544713.3%
Cattle1307185.9%
Total-274529310.67%
BaluchistanSheep12615219.9%
Goat1431227.9%
Buffalo13408525.0%
Cow139611328.5%
Total-104026225.2%
SindhBuffalo1180076842.7%
ICTSheep19044.4%
Goat131020.6%
Overall 4376,09913,73818.1%
ICT; Islamabad capital territory.
Table 4. Subgroup meta-analysis for comparison of the prevalence of Fasciola spp. in humans and domestic livestock in various geographical regions of Pakistan.
Table 4. Subgroup meta-analysis for comparison of the prevalence of Fasciola spp. in humans and domestic livestock in various geographical regions of Pakistan.
CharacteristicsHost/ProvinceNo. of StudiesHeterogeneity FactorsHeterogeneityPublication Bias
I2 (%)tau2QEgger’s Test Result
HumanHuman265.80.2882.93 n.s.-
AnimalsSheep1296.61.032320.2 **−0.300 n.s.
Goat1099.02.866928.8 **−4.29 **
Buffalo999.40.3361170 **1.38 n.s.
Cattle597.70.221171.1 **0.148 n.s.
Cow489.80.45129.3 **−2.45 n.s.
Overall3999.20.7125036 **0.752 n.s.
Regions of PakistanPunjab1599.81.2137475 **0.303 n.s.
KPK696.60.867145.1 **−0.491 n.s.
Baluchistan274.30.0383.89 ***-
Sindh1----
ICT1----
Overall2599.71.168316 **0.161 n.s.
n.s. = non-significant. ** p < 0.01; *** p < 0.001.
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Rizwan, M.; Khan, M.R.; Afzal, M.S.; Manahil, H.; Yasmeen, S.; Jabbar, M.; Irum, S.; Simsek, S.; Wasif, S.; Mahmood, T.; et al. Prevalence of Fascioliasis in Livestock and Humans in Pakistan: A Systematic Review and Meta-Analysis. Trop. Med. Infect. Dis. 2022, 7, 126. https://doi.org/10.3390/tropicalmed7070126

AMA Style

Rizwan M, Khan MR, Afzal MS, Manahil H, Yasmeen S, Jabbar M, Irum S, Simsek S, Wasif S, Mahmood T, et al. Prevalence of Fascioliasis in Livestock and Humans in Pakistan: A Systematic Review and Meta-Analysis. Tropical Medicine and Infectious Disease. 2022; 7(7):126. https://doi.org/10.3390/tropicalmed7070126

Chicago/Turabian Style

Rizwan, Muhammad, Mobushir Riaz Khan, Muhammad Sohail Afzal, Hajra Manahil, Sobia Yasmeen, Muhammad Jabbar, Shumaila Irum, Sami Simsek, Samia Wasif, Tahir Mahmood, and et al. 2022. "Prevalence of Fascioliasis in Livestock and Humans in Pakistan: A Systematic Review and Meta-Analysis" Tropical Medicine and Infectious Disease 7, no. 7: 126. https://doi.org/10.3390/tropicalmed7070126

APA Style

Rizwan, M., Khan, M. R., Afzal, M. S., Manahil, H., Yasmeen, S., Jabbar, M., Irum, S., Simsek, S., Wasif, S., Mahmood, T., Ahmed, H., & Cao, J. (2022). Prevalence of Fascioliasis in Livestock and Humans in Pakistan: A Systematic Review and Meta-Analysis. Tropical Medicine and Infectious Disease, 7(7), 126. https://doi.org/10.3390/tropicalmed7070126

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