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Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region
BACKGROUND AND OBJECTIVE: Dengue is a vector-borne viral disease usually transmitted by Aedes mosquitoes. Around the world, the relationship between local vector density and frequency of dengue cases is being explored and needs further evidence. This study aimed to analyze the potential spatial rela...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694391/ https://www.ncbi.nlm.nih.gov/pubmed/36439726 http://dx.doi.org/10.1016/j.heliyon.2022.e11640 |
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author | Sharif, Mohiuddin Khan, Md. Abdullah Saeed Hasan, Mohammad Jahid Naher, Tanzin Rudra, Sujan Fardous, Jannatul Gozal, David Rahman, Md Khalilur Amin, Mohammad Robed |
author_facet | Sharif, Mohiuddin Khan, Md. Abdullah Saeed Hasan, Mohammad Jahid Naher, Tanzin Rudra, Sujan Fardous, Jannatul Gozal, David Rahman, Md Khalilur Amin, Mohammad Robed |
author_sort | Sharif, Mohiuddin |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Dengue is a vector-borne viral disease usually transmitted by Aedes mosquitoes. Around the world, the relationship between local vector density and frequency of dengue cases is being explored and needs further evidence. This study aimed to analyze the potential spatial relationships between the dengue vector (Aedes aegypti) 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: We found that dengue case distribution was not associated with immature Aedes aegypti 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. |
format | Online Article Text |
id | pubmed-9694391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96943912022-11-26 Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region Sharif, Mohiuddin Khan, Md. Abdullah Saeed Hasan, Mohammad Jahid Naher, Tanzin Rudra, Sujan Fardous, Jannatul Gozal, David Rahman, Md Khalilur Amin, Mohammad Robed Heliyon Research Article BACKGROUND AND OBJECTIVE: Dengue is a vector-borne viral disease usually transmitted by Aedes mosquitoes. Around the world, the relationship between local vector density and frequency of dengue cases is being explored and needs further evidence. This study aimed to analyze the potential spatial relationships between the dengue vector (Aedes aegypti) 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: We found that dengue case distribution was not associated with immature Aedes aegypti 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. Elsevier 2022-11-21 /pmc/articles/PMC9694391/ /pubmed/36439726 http://dx.doi.org/10.1016/j.heliyon.2022.e11640 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Sharif, Mohiuddin Khan, Md. Abdullah Saeed Hasan, Mohammad Jahid Naher, Tanzin Rudra, Sujan Fardous, Jannatul Gozal, David Rahman, Md Khalilur Amin, Mohammad Robed Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region |
title | Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region |
title_full | Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region |
title_fullStr | Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region |
title_full_unstemmed | Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region |
title_short | Spatial association of Aedes aegypti with dengue fever hotspots in an endemic region |
title_sort | spatial association of aedes aegypti with dengue fever hotspots in an endemic region |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694391/ https://www.ncbi.nlm.nih.gov/pubmed/36439726 http://dx.doi.org/10.1016/j.heliyon.2022.e11640 |
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