Entomological survey for identification of Aedes larval breeding sites and their distribution in Chattogram, Bangladesh

Abstract

<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Studying the characteristics of <jats:italic>Aedes</jats:italic> mosquito habitats is essential to control the mosquito population. The objective of this study was to identify the breeding sites of <jats:italic>Aedes</jats:italic> larvae and their distribution in Chattogram, Bangladesh. We conducted an entomological survey in 12 different sub-districts (Thana) under Chattogram City, during the late monsoon (August to November) 2019. The presence of different wet containers along with their characteristics and immature mosquitoes was recorded in field survey data form. Larvae and/or pupae were collected and brought to the laboratory for identification.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Different indices like house index, container index, and the Breteau index were estimated. The multiple logistic regression analysis was applied to identify habitats that were more likely to be positive for <jats:italic>Aedes</jats:italic> larvae/pupae. A total of 704 wet containers of 37 different types from 216 properties were examined, where 52 (7.39%) were positive for <jats:italic>Aedes</jats:italic> larvae or pupae. Tire, plastic buckets, plastic drums, and coconut shells were the most prevalent container types. The plastic group possessed the highest container productivity (50%) whereas the vehicle and machinery group was found as most efficient (1.83) in terms of immature <jats:italic>Aedes</jats:italic> production. Among the total positive properties, 8% were infested with <jats:italic>Aedes aegypti</jats:italic>, 2% with <jats:italic>Aedes albopictus</jats:italic>, and 1% contained both species <jats:italic>Ae. aegypti and A. albopictus.</jats:italic> The overall house index was 17.35%, the container index was 7%, and the Breteau index was 24.49. Containers in multistoried houses had significantly lower positivity compared to independent houses. Binary logistic regression represented that containers having shade were 6.7 times more likely to be positive than the containers without shade (<jats:italic>p</jats:italic>&lt; 0.01).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>These findings might assist the authorities to identify the properties, containers, and geographical areas with different degrees of risk for mosquito control interventions to prevent dengue and other <jats:italic>Aedes</jats:italic>-borne disease transmissions.</jats:p> </jats:sec>