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Article

Characterization of Anopheles Species and Entomological Indicators Following Indoor Residual Spraying Campaign in Cuando Cubango, Angola

by
André Domingos
1,†,
Ana Direito
2,3,†,
Gonçalo Alves
2,3,*,†,
Paulo Máquina
4,
Cani P. Jorge
1,
José F. Martins
1,
Lizette L. Koekemoer
5,6,
Sergio Lopes
2,*,‡ and
Luzala Garcia
1,*,‡
1
National Malaria Control Programme Ministry of Health, Luanda, Angola
2
The MENTOR Initiative, Haywards Heath RH16 1PG, UK
3
Global Health and Tropical Medicine GHTM, Associate Laboratory in Translation and Innovation Towards Global Health LA-REAL, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa UNL, 1349-008 Lisboa, Portugal
4
SADC Malaria Elimination Eight Secretariat, Windhoek, Namibia
5
Wits Research Institute for Malaria, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa
6
Centre for Emerging Zoonotic & Parasitic Diseases, National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg 2192, South Africa
*
Authors to whom correspondence should be addressed.
The authors contributed equally to this work.
The authors jointly supervised this work.
Insects 2025, 16(9), 892; https://doi.org/10.3390/insects16090892
Submission received: 30 June 2025 / Revised: 23 August 2025 / Accepted: 25 August 2025 / Published: 26 August 2025

Simple Summary

Malaria is a deadly disease spread by female Anopheles mosquitoes that affects millions of people. Angola has one of the highest malaria burdens in the world, making it a serious public health problem. This study aimed to understand which mosquito species carry malaria parasites, whether spraying the inside walls of houses with insecticides impacts entomological indicators, and how communities perceive and use these prevention measures in Cuando Cubango province. Researchers collected mosquitoes from three locations over five months and interviewed local households after the spraying campaign. The results showed that An. funestus s.s. was the primary malaria vector. After spraying houses with insecticides, there were fewer mosquitoes and lower rates of malaria infection in mosquitoes, particularly in one location where infection rates dropped by 60 percent. However, this reduction was not consistent across all areas studied. Most community members demonstrated good knowledge about malaria, supported IRS, and followed advice on how to protect their homes after spraying. These findings provide important information for malaria control programs in Angola, help health authorities to understand which mosquitoes to target, and demonstrate that house spraying can be effective in reducing malaria transmission, although additional control measures are needed for maximum impact.

Abstract

Malaria remains a significant public health challenge in Angola, particularly in Cuando Cubango province. This study aimed to characterize the local Anopheles mosquito population, evaluate the impact of indoor residual spraying (IRS) on key entomological indicators, and assess the community knowledge, attitudes, and practices (KAP) related to malaria and vector control. Mosquito collections were conducted indoors at three sites over five months using CDC light traps and Prokopack aspirators. Ten Anopheles species were identified, with An. funestus s.s. being the predominant vector, accounting for 91.7% of the Funestus group. The overall Plasmodium falciparum circumsporozoite protein (CSP) infection rate was 9.2%, with Makua exhibiting the highest rate (10.2%). Following IRS, the indoor resting density of the Funestus group decreased significantly in Makua and Agostinho Neto. In Makua, An. funestus s.s. CSP infection rates decreased by 55% following IRS implementation; however, this reduction was not statistically significant. Knockdown resistance mutations were detected in An. arabiensis and An. gambiae s.s. The 2020/2021 IRS campaign achieved 95% spray coverage and reached 421,856 individuals. Complementary KAP surveys with 647 households showed that 87% of respondents correctly identified mosquitoes as malaria vectors, 78% recognized key symptoms, and 89% supported continued IRS. Reported adherence to post-IRS precautions exceeded 70% and preference for IRS over ITN was expressed by most households. These findings highlight both biological and social dimensions of malaria control, demonstrating that vector control, community acceptance, and entomological surveillance are essential for effective and sustainable malaria interventions in Cuando Cubango.

1. Introduction

Malaria remains a significant global public health threat, with approximately 263 million cases and 597,000 fatalities reported worldwide in 2023. Angola bears a substantial portion of this burden, accounting for 3.1% of global malaria cases and 2.7% of related deaths [1]. In 2023, Angola recorded a malaria incidence rate of 260 per 1000 population at risk. This figure represents an increase of between 25% and 63% compared to the 2015 baseline. Angola is among the countries in the WHO African region where the estimated case incidence was higher in 2023 than in 2015 [1]. Despite these figures, Angola made significant strides in reducing its malaria mortality rate from 58.2% in 2016 to 26.3% in 2019 [2].
Most malaria cases in Angola are caused by Plasmodium falciparum, which remains the dominant species across the country [3]. However, molecular studies carried out in the last two decades have demonstrated the presence of P. malariae, P. ovale, and P. vivax in smaller proportions [4,5].
In Angola, malaria transmission is complex, with the presence of multiple vectors, including Anopheles gambiae sensu stricto (s.s.), An. coluzzii, An. arabiensis, and An. funestus s.s. [2,6,7,8,9]. Members of the Funestus group, previously confirmed as secondary malaria vectors in other regions, have been recently reported in Angola [9], highlighting the need for further investigation into the lesser-studied species of this group. Vector control is primarily made through the distribution of insecticide-treated mosquito nets (ITN) and indoor residual spraying (IRS). However, the effectiveness of these interventions can be compromised by the emergence of knockdown resistance (kdr), which is associated with pyrethroids and DDT insecticides. Kdr mutations, particularly West African L1014F and East African L1014S, have already been documented in An. gambiae complex populations in various locations in Angola [9,10], causing a significant threat to the efficacy of ITN and IRS [11,12,13].
Cuando Cubango province was previously classified as mesoendemic with unstable malaria transmission. According to the updated malaria risk stratification map, four districts in the province are now classified as having moderate transmission, two as having high transmission, and three as having very high transmission [2]. In 2018, the prevalence of malaria in the province was 38%, the second highest in the country [14]. To address the challenges of the province, the National Malaria Control Program (NMCP), in partnership with international partners, intensified efforts to control and eliminate malaria in southern Angola. Since 2018, a large-scale IRS campaign has been implemented in the province with support from the Elimination 8 Initiative (E8). The E8 focused on reducing malaria transmission within Angola and strengthening elimination efforts in the neighboring Republic of Namibia through coordinated cross-border interventions, enhanced surveillance, and expanded access to malaria services in border areas [15]. NMCP, in collaboration with the Mentor Initiative, has implemented IRS activities with Actellic® 300 CS across border districts in southern Angola, including the four border districts of Cuando Cubango. During the 2019/2020 campaign, 13,047 structures were sprayed across the districts of Calai, Cuangar, Dirico, and Rivungo, protecting 57,157 people and achieving a coverage of 97.8%. In addition to IRS, an ITN campaign was conducted in the province in 2018, during which 286,543 ITNs were distributed, covering 98.5% of the population. From 2018, operational research studies and field assessments have been conducted to evaluate the coverage, effectiveness, and overall impact of these interventions [14]. Nevertheless, limited information is available on the composition of malaria vector species, P. falciparum infection rates, host preferences, and the presence of kdr mutations in Cuando Cubango province. A detailed understanding of these entomological parameters is essential for designing effective, evidence-based, and geographically tailored vector control strategies. This study aimed to update the entomological profile of malaria vectors in the province and to assess the impact of the 2020/2021 IRS campaign on entomological indicators.

2. Materials and Methods

2.1. Study Area

The study was conducted in Cuando Cubango province, located in southeastern Angola. Cuando Cubango shares borders with the Republic of Namibia to the south, with the Republic of Zambia to the east and with the Angolan provinces of Moxico to the north, Bié to the northwest, Huíla to the west, and Cunene to the southwest. The province covers an area of approximately 199,049 km2 and had a population of 534,002 [16]. The average elevation of the province is around 1200 m above sea level. Major rivers crossing the province include the Cuando, Cubango, and Cuito rivers [17]. The average temperature in Cuando Cubango varies between 16.3 °C and 25.5 °C, with a rainy season from October to April and a dry season from May to September.

2.2. Cuando Cubango IRS Campaign

The Cuando Cubango IRS campaign ran from December 2020 to February 2021 in the four border districts of Calai, Cuangar, Dirico, and Rivungo, according to the NMCP’s strategic plan. In this campaign, the Menongue district was also included (Figure 1). A total of 1519 individuals were trained, including spray operators (551), enumerators (551), mobilizers (250), data collectors (65), and team leaders and supervisors (102). Training followed the regional Southern Africa Development Community Malaria Elimination Eight Secretariat (SADAC-MEES) guidelines and included modules on insecticide handling, safety, spray technique, data collection, and community sensitization [18]. The selection of sprayable structures was conducted in accordance with previous guidelines. Actellic® 300 CS (Syngenta Crop Protection AG, Basel, Switzerland; active ingredient: pirimiphos-methyl) was applied at a dosage of 1 g/m2. Structure enumeration, microplanning, and real-time monitoring were carried out using the pilot version of Reveal v.1 (Akros Inc., Lusaka, Zambia). Data were collected using mobile devices, synchronized through the Reveal platform, and used to generate automated reports on campaign progress and coverage.

2.3. Post-IRS Knowledge, Attitudes, and Practices Survey

A community-based cross-sectional Knowledge, Attitudes, and Practices (KAP) study was conducted between February and March 2021 in the districts of Calai, Cuangar, Dirico, and Menongue, following completion of the IRS campaign. The survey was administered in Portuguese to ensure accessibility and accurate responses from participants. Households were selected using a two-stage randomized cluster sampling method. One adult respondent per household was interviewed using a structured questionnaire that had been previously piloted in Menongue. The questionnaire assessed knowledge of malaria transmission and symptoms; attitudes towards IRS and malaria prevention; and household practices, including ITN use, IRS compliance, and environmental risk factors. Direct observations were made regarding housing conditions and IRS use. Data were collected using KoboToolbox https://www.kobotoolbox.org (accessed on 24 August 2025), validated daily, and analyzed using Microsoft Excel 365 (Version 2507) (Build 16.0.19029.20136). Ethical approval was obtained from the Angolan National Ethics Committee.

2.4. Entomological Surveillance and Mosquito Collections

Two districts were selected for the entomological survey: Menongue (targeted for IRS) and Cuchi (no IRS intervention) (Figure 1). Collection sites were chosen based on logistical capacity and IRS campaign plans. Adult mosquitoes were collected from three sites: two in the district of Menongue, Makua (−14.679500, 17.453611) and Agostinho Neto (−14.655028, 17.646500; A. Neto); and one in the district of Cuchi, Cuchi (−14.649667, 16.898083). At each site, twelve houses were randomly selected for adult mosquito collections and equally assigned to one of the sampling methods. Informed consent was obtained from the head of each household, and collection procedures were clearly communicated to all household members. Mosquitoes were collected monthly over three consecutive nights from November 2020 to March 2021. Indoor host-seeking mosquitoes were captured using CDC light traps (CDC-LT; Model 512; John W. Hock Company, Gainesville, FL, USA). Traps were placed at the foot end of occupied sleeping areas, approximately 1.5 m above the ground, and operated from 18:00 to 07:00. Indoor resting mosquitoes were captured using Prokopack aspirators (PK; Model 1419, John W. Hock Company, Gainesville, FL, USA). Indoor aspirations were conducted in the morning from 07:00 to 09:00 by two collectors. Each house was examined for 15 min, with special attention paid to areas where people had slept the previous night. PK collection cups were replaced every 5 min to prevent damage to the aspirated mosquitoes. Collected mosquitoes were transported to the field insectary for morphological identification. Larval collections were conducted across multiple breeding sites across both districts using the standard dipping method. Larvae were transferred to the field insectary and reared to adulthood. At 48 h post-emergence, the adults were killed in an alcohol chamber and subjected to morphological identification.

2.5. Morphological Identification

Female Anopheles mosquitoes were identified using well-established morphological keys [19,20]. Morphological identifications were carried out by trained entomologists in the field insectary. Abdomens from female Anopheles mosquitoes were categorized as fed, unfed, gravid, and half-gravid. Samples were stored individually in labeled microtubes containing blue indicator silica gel at room temperature.

2.6. Molecular Species Identification of Anopheles Mosquitoes

An. gambiae complex and Funestus group members were identified to species level using molecular methods. Genomic DNA was individually extracted from legs [21]. Molecular identification of An. gambiae complex members was performed using known protocols [22,23]. Members of the Funestus group were identified through a multiplex PCR assay to separate An. funestus s.s. from the more zoophilic species An. parensis, An. rivulorum, An. rivulorum-like, An. leesoni, and An. vaneedeni [21,24]. Negative controls included a PCR master mix without a DNA template and a DNA extraction negative control. Positive controls comprised samples with previously established species molecular identification.

2.7. Detection of Plasmodium falciparum Circumsporozoite Protein

Head and thoraces of unfed female Anopheles mosquitoes were analyzed for the presence of P. falciparum circumsporozoite protein (CSP) using enzyme-linked-immunosorbent assay (ELISA) [25]. If a mosquito tested positive, a confirmatory ELISA test was performed using a boiling step [26]. Mosquitoes were considered positive for P. falciparum CSP if both tests yielded positive results.

2.8. Blood Meal Origin

Abdomens of blood-fed Anopheles mosquitoes were subjected to multiplex-PCR targeting the cytochrome B gene for the source of the blood meal [22]. Five potential hosts were tested: human, cow, goat, pig, and dog.

2.9. Detection of Knockdown Resistance

Knockdown resistance mutations were investigated in An. arabiensis and An. gambiae s.s. following protocols targeting kdr-West (L1014F) and kdr-East (L1014S) mutations [27,28,29].

2.10. Entomological Parameters and Statitical Analysis

Entomological parameters were assessed before (November 2020 to January 2021) and after (February to March 2021) IRS. The P. falciparum infection rate (IR%) was calculated as the percentage of unfed mosquitoes testing positive for CSP in the head-thorax (IR% = No. of CSP-positive head-thorax samples/total No. of head-thoraces analyzed × 100). The human blood index (HBI) was calculated as the proportion of blood-fed anopheline mosquitoes that fed on humans, including those with mixed blood meals (HBI = No. of human-fed mosquitoes/total No. of blood-fed mosquitoes analyzed × 100). The adjusted HBI was used to compensate for unidentified blood meal sources, excluding mosquitoes with unidentified blood meals from the formula [30]. Vector density (VD) was calculated as the number of Funestus group members per night per CDC-LT per month. Indoor resting density (IRD) was calculated as the number of Funestus group members collected resting indoors per house (IRD = No. of Funestus group members collected indoor by PK/No. of surveyed houses). To assess the impact of IRS on entomological parameters, we conducted a before-and-after analysis at the A. Neto and Makua collection sites, comparing IRD, VD, and IR% pre- and post-IRS. The Chi-square test was used to compare proportions, with a significance level set at 0.05.

2.11. Ethics Approval and Consent to Participate

The entomological and KAP studies received approval from the Instituto Nacional de Investigação em Saúde de Angola (INIS), under approval letters 05/2021 and 06/2021, respectively.

3. Results

3.1. Cuando Cubango IRS Campaign and Knowledge, Attitudes, and Practices Survey

The 2020/2021 IRS campaign was conducted from December 2020 to February 2021 across the districts of Rivungo, Dirico, Calai, Cuangar, and Menongue, covering 17 communes (Table 1). A total of 118,828 structures were identified, of which 113,052 were successfully sprayed, achieving a coverage rate of 95.14%. The campaign reached 421,856 individuals, an increase of 638% compared to the previous campaign, primarily due to the inclusion of Menongue district.
Regarding the KAP survey, a total of 647 heads of households were interviewed. Among respondents, 92.4% reported having received IRS in the previous year. Additionally, 87% correctly identified mosquitoes as the primary vectors of malaria, and 78% recognized key symptoms such as fever and chills. Attitudes toward IRS were positive, with 89% of participants supporting its continued implementation. Reported adherence to post-IRS precautions, such as refraining from washing treated walls, exceeded 70%. Only 12% of respondents expressed a preference for ITNs over IRS, primarily due to the perceived longer-lasting protection offered by IRS. Direct observations indicated that, in fewer than 80% of sprayed households, IRS marks remained visible and insecticide-treated surfaces were intact, suggesting moderate retention of treatment indicators.

3.2. Anopheles Species Composition

A total of 1436 adult mosquitoes were collected across the three sampling sites. Of these, 549 (38.2%) were female and 20 (1.4%) were male Anopheles. Among the females, 86.1% were captured using CDC-LT (Table 2). Unfed Anopheles comprised the majority of the collections (74.9%), followed by blood-fed females (23.9%) (Table 2). Makua accounted for 51.5% of all adult Anopheles mosquitoes (Table 3). In total, ten Anopheles species were identified. The Funestus group was the most prevalent, accounting for 91.4% of all Anopheles collected, followed by An. gambiae complex, An. rufipes, An. squamosus, An. concolor, and An. ruarinus (Table 3). Species-specific identification of a subsample of the Funestus group revealed the presence of multiple members. The majority were identified as An. funestus s.s. (91.7%), followed by An. vaneedeni, An. leesoni, An. rivulorum, and An. rivulorum-like (Table 4). The remaining 26 specimens failed to amplify. Regarding the An. gambiae complex, ten were identified as An. arabiensis, while four failed to amplify (Table 4). In A. Neto and Makua, a rising VD was observed from November 2020 to January 2021, followed by a decrease after IRS (Figure 2). In Cuchi, the VD was constantly low, increasing from January to March (Figure 2). When comparing the periods before and after IRS (Table 5), we observed in A. Neto a significant decrease in VD from 2.03 mosquitoes/trap/night pre-IRS to 0.18 mosquitoes/trap/night post-IRS (χ2, p < 0.0001). In Makua, no significant difference was observed, with VD increasing slightly from 0.99 to 1.36 mosquitoes/trap/night (χ2, p > 0.05). In Cuchi, a significant increase in VD was recorded, rising from 0.02 to 0.22 mosquitoes/trap/night (χ2, p < 0.01). For the Funestus group IRD, the results showed a significant decrease at both Makua and A. Neto after IRS intervention (χ2 test, p < 0.001) (Table 6). By contrast, a non-significant increase in the Funestus group IRD was observed in Cuchi (Fisher, p > 0.05; Table 6).

3.3. Origin of Blood Meals

A total of 106 blood-engorged Anopheles mosquitoes were analyzed to determine the origin of their blood meals (Table 7). Among these, 18.9% had fed on humans, indicating a preference for human hosts overall. An. funestus s.s. exhibited the highest adjusted HBI, with 78.6% in A. Neto and 57.1% in Makua, resulting in an overall adjusted HBI of 67.9%. By contrast, An. arabiensis showed a lower adjusted HBI of 33.3%, feeding more frequently on cattle rather than on humans. An. rufipes demonstrated no clear host preference, with an adjusted HBI of 50%.

3.4. Plasmodium falciparum Infection Rate

Head-thoraces from 250 unfed female Anopheles mosquitoes were analyzed using ELISA for the presence of CSP (Table 8). Among these, 23 tested positive, corresponding to an overall infection rate of 9.2% (23/250). CSP-positive mosquitoes were detected exclusively as An. funestus s.s., which exhibited a species-specific infection rate of 9.5%. By collection site, Makua had the highest CSP infection rate at 10.2%, followed by A. Neto with 9.3%. No CSP-positive mosquitoes were detected in Cuchi. When considering only An. funestus s.s., the infection rates were 10.5% in Makua and 9.4% in A. Neto. Before IRS, 18 An. funestus s.s. were CSP positive, yielding a pre-IRS IR of 10.2%. Infection rates were higher in Makua (14.0%) compared to A. Neto (8.3%), although not statistically significant (Fisher’s exact test, p > 0.05). Following IRS intervention, the overall IR decreased to 8.9%, representing a 12.7% reduction; however, it was not statistically significant (p > 0.05). In Makua, the IR dropped to 6.3%, a 55.0% reduction from pre-IRS levels, though not statistically significant (p > 0.05). Conversely, in A. Neto, the IR increased to 25.0%, representing a 201% rise compared to the pre-IRS period (Table 9).

3.5. Detection of Knockdown Resistance

Anopheles gambiae complex mosquitoes were genotyped for the presence of L1014F and L1014S kdr (Table 10). In Menongue, all An. arabiensis specimens (n = 3) were homozygous susceptible (SS) for both L1014F and L1014S alleles. In Cuchi, all 33 An. arabiensis were SS for L1014F, and five were heterozygous (RS) for L1014S. For An. arabiensis, no homozygous resistant genotypes (RR) were detected in An. arabiensis for either allele. The overall resistant allele frequency for L1014F in An. arabiensis was 0.0, while the frequency for L1014S was 0.069. By contrast, all five An. gambiae s.s. from Menongue were homozygous resistant (RR) for the L1014F allele, resulting in a resistant allele frequency of 1.0. No resistance alleles were detected for L1014S in An. gambiae s.s.

4. Discussion

This study provides valuable insights into the Anopheles mosquito population and the impact of IRS on entomological indicators in Cuando Cubango. Our results confirm the presence of primary malaria vectors such as An. funestus s.s., An. gambiae s.s., and An. arabiensis, consistent with previous reports from Angola and other regions of sub-Saharan Africa [6,8,9,20]. In addition, we confirm the presence of An. concolor, An. ruarinus, An. rufipes, and An. squamosus [8,19] and report for the first time, through molecular methods, the presence of An. leesoni, An. rivulorum, An. rivulorum-like, and An. vaneedeni within the Funestus group. With the exception of An. concolor and An. ruarinus, all other species reported were found to be naturally infected with P. falciparum in other sub-Saharan African countries [31,32,33,34]. These findings underscore the urgent need to accelerate research on the role of lesser-studied mosquito species in malaria transmission within the country.
An. funestus s.s. was identified as the primary malaria vector in the study area, consistent with findings from Angola, Zambia, and Namibia [9,35,36]. The absence of An. gambiae s.s. in indoor collections, despite its detection at the larval stage, may reflect behavioral adaptations to vector control interventions such as ITNs and IRS. Shifts toward exophilic and exophagic behaviors have been reported elsewhere [37].
Interestingly, An. arabiensis showed a preference for feeding on cattle, reflecting its opportunistic behavior and tendency to feed on both humans and animals [38]. This observation is particularly relevant, as the presence of cattle may contribute to zooprophylaxis, diverting mosquito bites away from humans [39]. However, due to the small sample size in this study, further research is needed to better understand the feeding preferences and host-seeking behavior of An. arabiensis in this setting. Additionally, we observed a high number of cases with no amplification of target DNA, for which no specific cause was identified. Possible explanations include degraded DNA or blood meals from non-human hosts not covered in our analysis. These findings underscore the importance of expanding host identification efforts and improving sample quality to strengthen future entomological assessments.
Our study confirms the fixation of the West African kdr mutation L1014F in An. gambiae s.s. from Menongue and reports the presence of the East African kdr mutation L1014S in An. arabiensis from the Cuchi district. To our knowledge, this is the first time that both West and East African kdr mutations have been investigated in this province. These findings reveal an unreported challenge in the management of insecticides for public health use and underscore the critical need for regular monitoring of insecticide resistance patterns in local vector populations.
The geographic scope of this study was limited; therefore, expanding entomological surveillance to other districts within Cuando Cubango is essential to capture spatial heterogeneity in vector populations and to better inform decision makers.
The IRS campaign achieved a coverage rate of 95%, protecting 421,856 individuals, a level of coverage that is critical given that IRS effectiveness is strongly associated with achieving at least 80% household coverage [40]. However, some studies have shown that lower coverage levels can still produce protective effects comparable to campaigns reaching or exceeding the 80% threshold [41,42], Conversely, other evidence indicates that coverage below 80% may fail to generate the desired protective outcomes. This variability highlights the influence of local factors, such as transmission intensity, vector behavior, and housing conditions, on the effectiveness of IRS interventions [42].
Community acceptance of IRS was high, with 89% of respondents supporting continued spraying and over 70% adhering to post-spray precautions. This level of engagement likely contributed to the observed reductions in vector density and infection rates, particularly in Makua. The preference for IRS over ITNs, cited by 88% of respondents, highlights the perceived value of IRS in providing long-lasting protection.
Post-IRS entomological indicators showed a significant reduction in the indoor resting density (IRD) of the Funestus group in both Makua and Agostinho Neto. Vector density also declined significantly in Agostinho Neto but not in Makua. The lack of statistically significant reductions in CSP infection rates may be attributed to several post-IRS factors, such as the short observation period (only two collection rounds), small sample sizes of mosquitoes collected and analyzed, and environmental variability, such as below-average rainfall, which may have independently suppressed mosquito populations. These limitations underscore the importance of extended surveillance periods and larger sample sizes to robustly evaluate intervention impact.

5. Conclusions

Our study provides key insights into malaria vector populations and the impact of IRS in Cuando Cubango, demonstrating its effectiveness in reducing Anopheles density and its potential to lower transmission. However, small sample sizes, limited post-intervention data, and the absence of epidemiological indicators constrain the strength of conclusions regarding IRS impact. To address these gaps, we recommend integrated studies that combine entomological and epidemiological data for a more robust evaluation of vector control interventions. Sustained surveillance, community engagement, and accurate species identification [43] are essential to guide locally tailored and adaptive strategies. Further research is needed to clarify the role of An. gambiae s.s. and members of the Funestus group in malaria transmission. These findings underscore the importance of comprehensive knowledge to support evidence-based, locally tailored, and sustainable malaria vector control strategies.

Author Contributions

Conceptualization, A.D. (André Domingos), A.D. (Ana Direito), G.A. and S.L.; methodology, A.D. (André Domingos), G.A. and A.D. (Ana Direito); formal analysis, G.A., A.D. (Ana Direito) and L.L.K.; original draft preparation, A.D. (André Domingos), G.A. and A.D. (Ana Direito); funding acquisition, S.L., P.M., C.P.J., L.G. and J.F.M.; A.D. (André Domingos), G.A. and A.D. (Ana Direito) contributed equally to this work and share first authorship. All authors have read and agreed to the published version of the manuscript.

Funding

Funding for this research implemented by NMCP and the Mentor Initiative, from which this research arises, was provided by the Bill & Melinda Gates Foundation and the Global Fund to Fight AIDS, Tuberculosis and Malaria, serving as the primary funding agencies of the Elimination 8 Initiative program. L.L.K. is supported in part by the National Research Foundation of South Africa (SRUG2203311457).

Data Availability Statement

The data and materials that support the findings of this study are available upon request from the corresponding authors.

Acknowledgments

The authors would like to thank the Ministry of Health (MoH), National Malaria Control Program, and the Provincial and Municipal Health authorities for their contribution and support. We acknowledge the excellence work of MoH malaria municipal supervisors and the Mentor Initiative entomological supervisors for all the support given during the field work.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

The following abbreviations are used in this manuscript:
IRSIndoor Residual Spraying
ITNInsecticide-Treated Nets
KAPKnowledge, Attitudes, and Practices
kdrKnockdown Resistance
MIThe Mentor Initiative
NMCPNational Malaria Control Program
SA-DAC-MEESSouthern Africa Development Community Malaria Elimination Eight Secretariat

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Figure 1. Mosquito collection sites and district under IRS.
Figure 1. Mosquito collection sites and district under IRS.
Insects 16 00892 g001
Figure 2. Effect of Actellic® 300 CS on An. funestus s.l. VD across the three collection sites (A. Neto, Makua, and Cuchi) over epidemiological weeks from November 2020 to March 2021.
Figure 2. Effect of Actellic® 300 CS on An. funestus s.l. VD across the three collection sites (A. Neto, Makua, and Cuchi) over epidemiological weeks from November 2020 to March 2021.
Insects 16 00892 g002
Table 1. Cuando Cubango 2020/2021 IRS campaign results.
Table 1. Cuando Cubango 2020/2021 IRS campaign results.
DistrictCommuneSprayed StructuresCoverage (%)No. People Protected
RivungoRivungo sede29599112,056
Luiana24748511,201
Tchipundo33529914,777
Neriquinha24782952
Subtotal90329238,986
DiricoDirico sede1459944725
Mucusso663992683
Xamavera976883973
Subtotal30989311,381
CalaiCalai Sede32809211,576
Mavengue28497866
Mawé282981066
Subtotal38469213,508
CuangarCuangar sede33029411,806
Bondo-Caila1608886159
Savate1801915483
Subtotal67119523,448
MenongueMenongue sede81,58496301,143
Missombo1809986651
Caiundo53909122,338
Jamba Cueio1582984401
Subtotal90,36596334,533
Total 113,05295421,856
Table 2. Distribution of Anopheles females by abdominal status and collection method.
Table 2. Distribution of Anopheles females by abdominal status and collection method.
Collection MethodUnfed (%)Fed (%)Half Gravid (%)Gravid (%)Unknown (%)Total (%)
CDC-LT396 (96.4)76 (58.0)2 (100.0)1 (25.0)1 (100.0)476 (86.1)
PK15 (3.6)55 (42.0)0 (0.0)3 (75.0)0 (0.0)73 (13.3)
Total411 (74.9)131 (23.9)2 (0.4)4 (0.7)1 (0.2)549
Table 3. Anopheles mosquito composition, by collection site and method.
Table 3. Anopheles mosquito composition, by collection site and method.
Collection SiteCollection MethodAn. concolorFunestus GroupAn. gambiae ComplexAn. ruarinusAn. rufipesAn. squamosusAn. spp. *Total
A. NetoCDC-LT021000002212
PK0330000033
Subtotal024300002245
MakuaCDC-LT2215519111244
PK0351030039
Subtotal22506112111283
CuchiCDC-LT0108010120
PK01000001
Subtotal0118010121
Total (%) 2 (0.4)504 (91.8)14 (2.6)1 (0.2)13 (2.4)11 (2.0)4 (0.7)549
* Anopheles mosquitoes not morphologically identified due to lack or damage of morphological features.
Table 4. Molecular identification of adults of An. gambiae s.l. and An. funestus s.l.
Table 4. Molecular identification of adults of An. gambiae s.l. and An. funestus s.l.
Mosquito SpeciesNSpecies-Specific PCR IdentificationSentinel SiteTotal (%)
A. NetoMakuaCuchi
An. gambiae complex14An. arabiensis02810 (71.4)
Failed identification0404 (28.6)
Funestus group375An. funestus s.s.1761599344 (91.7)
An. leesoni0101 (0.3)
An. rivulorum1001 (0.3)
An. rivulorum-like0101 (0.3)
An. vaneedeni0202 (0.5)
Failed identification816226 (6.9)
Table 5. Impact of IRS on Funestus group VD per collection site.
Table 5. Impact of IRS on Funestus group VD per collection site.
Collection SitesPre-IRS (Nov-20 to Jan-21)Post-IRS (Feb-21 to Mar-21)χ2, p-Value
No. CapturesTrapping EffortVDNo. CapturesTrapping EffortVD
Cuchi1610.0217780.22<0.01
Makua1131140.99102751.36>0.05
A. Neto195962.0316870.18<0.0001
Table 6. Impact of IRS on Funestus group IRD per collection site.
Table 6. Impact of IRS on Funestus group IRD per collection site.
Collection SitesPre-IRS (Nov-20 to Jan-21)Post-IRS (Feb-21 to Mar-21)χ2, p-Value
No. CapturesTrapping EffortIRDNo. CapturesTrapping EffortIRD
Cuchi0290.00190.11>0.05 a
Makua34490.691150.07<0.001
A. Neto33400.830200.0<0.001
a Fisher Exact test.
Table 7. Host preferences of Anopheles mosquitoes in Cuchi, Agostinho Neto, and Makua.
Table 7. Host preferences of Anopheles mosquitoes in Cuchi, Agostinho Neto, and Makua.
Mosquito SpeciesCollection SiteNBlood Meal SourceHBIAdjusted HBI
CowGoatHumanN/A
An. funestus s.s.Agostinho Neto4812113422.978.6
Makua546084014.857.1
Subtotal10272197418.667.9
An. arabiensisCuchi3101133.350.0
Makua110000.00.0
Subtotal4201125.033.3
An. rufipesCuchi110000.00.0
Makua3102066.766.7
Subtotal4202050.050.0
Total (%) 1069 (8.5)2 (1.9)20 (18.9)75 (70.8)--
N/A: no amplification of target DNA.
Table 8. Unfed Anopheles mosquito head-thoraces tested for CSP.
Table 8. Unfed Anopheles mosquito head-thoraces tested for CSP.
MosquitoesCuchiA. NetoMakuaTotal
TestedCSP+IRTestedCSP+IRTestedCSP+IRTestedCSP+IR%
An. arabiensis500.0000.0100.0600.0
An. funestus s.s.800.0128129.41051110.5241239.5
An. rivulorum0--100.00--100.0
An. leesoni0--0--100.0100.0
An. vaneedeni0--0--100.0100.0
Total1300.0129129.31081110.2250239.2
CSP+: number of head-thoraces positive for P. falciparum circumsporozoite protein.
Table 9. IR% of An. funestus s.s. from A. Neto and Makua.
Table 9. IR% of An. funestus s.s. from A. Neto and Makua.
Month-YearCollection SitesTotal
A. NetoMakua
TestedPositiveIR%TestedPositiveIR%TestedPositiveIR%
Nov-20900.04001300.0
Dec-204548.99005447.4
Jan-216669.144818.21101412.7
Total pre-IRS120108.357814.01771810.2
Feb-218225.02727.435411.4
Mar-210--2114.82114.8
Total post-IRS8225.01836.35658.9
Table 10. Genotype frequencies of L1014F and L1014S for An. arabiensis and An. gambiae s.s.
Table 10. Genotype frequencies of L1014F and L1014S for An. arabiensis and An. gambiae s.s.
MosquitoesDistrict of CollectionNGenotype L1014FGenotype L1014SResistant Allele Frequence
SSRSRRSSRSRRF (Phe)F (Ser)
An. arabiensisMenongue3 (1)3003 (1)000.00.0
Cuchi33 (25)33 (25)0028 (20)5 (5)00.00.076
Subtotal36 (26)36 (25)0031 (21)5 (5)00.00.069
An. gambiae s.s.Menongue5 (5)005 (5)5 (5)001.00.0
Numbers in parentheses indicate larvae tested for kdr genotypes out of the total sample size (N); SS = homozygote susceptible, RS = heterozygote resistance, RR = homozygote resistance; S = susceptible wildtype allele, R = resistance allele (L1014F/L1014S mutations).
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Domingos, A.; Direito, A.; Alves, G.; Máquina, P.; Jorge, C.P.; Martins, J.F.; Koekemoer, L.L.; Lopes, S.; Garcia, L. Characterization of Anopheles Species and Entomological Indicators Following Indoor Residual Spraying Campaign in Cuando Cubango, Angola. Insects 2025, 16, 892. https://doi.org/10.3390/insects16090892

AMA Style

Domingos A, Direito A, Alves G, Máquina P, Jorge CP, Martins JF, Koekemoer LL, Lopes S, Garcia L. Characterization of Anopheles Species and Entomological Indicators Following Indoor Residual Spraying Campaign in Cuando Cubango, Angola. Insects. 2025; 16(9):892. https://doi.org/10.3390/insects16090892

Chicago/Turabian Style

Domingos, André, Ana Direito, Gonçalo Alves, Paulo Máquina, Cani P. Jorge, José F. Martins, Lizette L. Koekemoer, Sergio Lopes, and Luzala Garcia. 2025. "Characterization of Anopheles Species and Entomological Indicators Following Indoor Residual Spraying Campaign in Cuando Cubango, Angola" Insects 16, no. 9: 892. https://doi.org/10.3390/insects16090892

APA Style

Domingos, A., Direito, A., Alves, G., Máquina, P., Jorge, C. P., Martins, J. F., Koekemoer, L. L., Lopes, S., & Garcia, L. (2025). Characterization of Anopheles Species and Entomological Indicators Following Indoor Residual Spraying Campaign in Cuando Cubango, Angola. Insects, 16(9), 892. https://doi.org/10.3390/insects16090892

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