Small dams drive Anopheles abundance during the dry season in a high malaria burden area of Malawi

• Published in: Medical and veterinary entomology 2024-12, Vol.38 (4), p.375-392
• Main Authors: Zembere, Kennedy, Jones, Christopher M., Mthawanji, Rhosheen, Nkolokosa, Clinton, Kamwezi, Richard, Kalonde, Patrick Ken, Stanton, Michelle C.
• Format: Article
• Language: English
• Subjects: Abundance; Animals; Anopheles; Anopheles - physiology; Anopheles gambiae; anthropogenic environmental change; Breeding sites; Climate change; Culicidae; Dams; Disease transmission; Dry season; dry season transmission; Female; Food security; Larva - growth & development; Larva - physiology; Light traps; Malaria; Malaria - transmission; malaria vectors; Malawi; Mosquito Vectors - physiology; Mosquitoes; Population Density; Seasons; small dams; Surveys; Trapping; vector ecology; Vectors; Water supply
• ISSN: 0269-283X; 1365-2915; 1365-2915
• DOI: 10.1111/mve.12733

This study explores the influence of small dams on the exposure to malaria vectors during the dry season in Kasungu district, Malawi, an area recently identified as high priority for malaria interventions by the National Malaria Control Programme. Small dam impoundments provide communities with a continuous supply of water for domestic and agricultural activities across sub‐Saharan Africa and are considered vital to food security and climate change resilience. However, these permanent water bodies also create ideal breeding sites for mosquitoes in typically arid landscapes. The study focuses on a specific dam impoundment and its vicinity, aiming to assess its spatial and temporal influence on indoor vector densities. From May to August 2021, CDC light traps were used to measure indoor mosquito densities for two consecutive nights per month in three communities located at increasing distances from the dam (0, ~1 and ~2 km). Simultaneously, drone imagery was captured for each community, enabling the identification of additional standing water within approximately 400 m of selected households. Larval sampling was carried out within the impoundment periphery and in additional water bodies identified in the drone imagery. Generalised linear mixed models (GLMMs) were employed to analyse the indoor Anopheles abundance data, estimating the effects of household structure (open/closed eaves), month, temperature and water proximity on malaria vector exposure. Throughout 685 trapping nights, a total of 1256 mosquitoes were captured, with 33% (412) being female Anopheles. Among these, 91% were morphologically identified as Anopheles funestus s.l., and 5% as Anopheles gambiae s.l. Catches progressively decline in each consecutive trapping month as the environment became drier. This decline was much slower in Malangano, the community next to the dam, with abundance being notably higher in June and July. Further, the majority of An. gambiae s.l. were caught in May, with none identified in July and August. Anopheles larvae were found both in the impoundment and other smaller water bodies such as irrigation wells in each survey month; however, the presence of these smaller water bodies did not have a significant impact on adult female mosquito catches in the GLMM. The study concludes that proximity to the dam impoundment was the primary driver of differences between survey communities with the abundance in Chikhombwe (~1 km away) and Chiponde (~2 km away) being 0.35 (95% co