Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region
Mohiuddin Sharif, Md. Abdullah Saeed Khan, Mohammad Jahid Hasan, Tanzin Naher, Sujan Rudra, Jannatul Fardous, David Gozal, Md. Khalilur Rahman, Mohammad Robed Amin
Abstract
Background and objective: ) and dengue cases in the megacity of Bangladesh during the 2019 dengue outbreak. Methods: Vector density measures were used to estimate spatial associations with dengue case distribution. Location was determined for 364 dengue cases who were admitted to Dhaka Medical College Hospital over a period of 4 months. Data were collected using a semi-structured questionnaire, and prior consent was ensured before participation. The Moran global index, Getis-Ord Gi∗, ordinary least squares regression, geographically weighted regression and count data regression methods were used for spatial analysis. Results: mosquito (larvae) density across the city. The relationship between larval density measured by the Breteau Index (BI) and House Index (HI) with dengue cases was nonstationary and not statistically significant. Conclusion: The location of dengue cases appears to be unrelated to vector distribution and vector density. These findings should prompt the search for other transmission risk factors.