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Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend
Lassa fever (LF) is prevalent in many West African countries, including Nigeria. Efforts to combat LF have primarily focused on rural areas where interactions between rodents and humans are common. However, recent studies indicate a shift in its occurrence from rural to urban areas. We analysed seco...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682180/ https://www.ncbi.nlm.nih.gov/pubmed/38012226 http://dx.doi.org/10.1038/s41598-023-47820-3 |
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author | Cadmus, Simeon Taiwo, Olalekan John Akinseye, Victor Cadmus, Eniola Famokun, Gboyega Fagbemi, Stephen Ansumana, Rashid Omoluabi, Anddy Ayinmode, Adekunle Oluwayelu, Daniel Odemuyiwa, Solomon Tomori, Oyewale |
author_facet | Cadmus, Simeon Taiwo, Olalekan John Akinseye, Victor Cadmus, Eniola Famokun, Gboyega Fagbemi, Stephen Ansumana, Rashid Omoluabi, Anddy Ayinmode, Adekunle Oluwayelu, Daniel Odemuyiwa, Solomon Tomori, Oyewale |
author_sort | Cadmus, Simeon |
collection | PubMed |
description | Lassa fever (LF) is prevalent in many West African countries, including Nigeria. Efforts to combat LF have primarily focused on rural areas where interactions between rodents and humans are common. However, recent studies indicate a shift in its occurrence from rural to urban areas. We analysed secondary data of reported LF outbreaks from 2017 to 2021 in Ondo State, Nigeria to identify the distribution pattern, ecological variations, and other determinants of disease spread from the ward level using nearest neighbour statistics and regression analysis. Data utilised include LF incidence, ecological variables involving population, nighttime light intensity, vegetation, temperature, market presence, road length, and building area coverage. ArcGIS Pro 3.0 software was employed for spatial analysis. Results revealed spatio-temporal clustering of LF incidents between 2017 and 2021, with an increasing trend followed by a decline in 2021. All wards in Owo Local Government Area were identified as LF hotspots. The ecological variables exhibited significant correlations with the number of LF cases in the wards, except for maximum temperature. Notably, these variables varied significantly between wards with confirmed LF and those without. Therefore, it is important to prioritise strategies for mitigating LF outbreaks in urban areas of Nigeria and other LF-endemic countries. |
format | Online Article Text |
id | pubmed-10682180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106821802023-11-30 Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend Cadmus, Simeon Taiwo, Olalekan John Akinseye, Victor Cadmus, Eniola Famokun, Gboyega Fagbemi, Stephen Ansumana, Rashid Omoluabi, Anddy Ayinmode, Adekunle Oluwayelu, Daniel Odemuyiwa, Solomon Tomori, Oyewale Sci Rep Article Lassa fever (LF) is prevalent in many West African countries, including Nigeria. Efforts to combat LF have primarily focused on rural areas where interactions between rodents and humans are common. However, recent studies indicate a shift in its occurrence from rural to urban areas. We analysed secondary data of reported LF outbreaks from 2017 to 2021 in Ondo State, Nigeria to identify the distribution pattern, ecological variations, and other determinants of disease spread from the ward level using nearest neighbour statistics and regression analysis. Data utilised include LF incidence, ecological variables involving population, nighttime light intensity, vegetation, temperature, market presence, road length, and building area coverage. ArcGIS Pro 3.0 software was employed for spatial analysis. Results revealed spatio-temporal clustering of LF incidents between 2017 and 2021, with an increasing trend followed by a decline in 2021. All wards in Owo Local Government Area were identified as LF hotspots. The ecological variables exhibited significant correlations with the number of LF cases in the wards, except for maximum temperature. Notably, these variables varied significantly between wards with confirmed LF and those without. Therefore, it is important to prioritise strategies for mitigating LF outbreaks in urban areas of Nigeria and other LF-endemic countries. Nature Publishing Group UK 2023-11-27 /pmc/articles/PMC10682180/ /pubmed/38012226 http://dx.doi.org/10.1038/s41598-023-47820-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cadmus, Simeon Taiwo, Olalekan John Akinseye, Victor Cadmus, Eniola Famokun, Gboyega Fagbemi, Stephen Ansumana, Rashid Omoluabi, Anddy Ayinmode, Adekunle Oluwayelu, Daniel Odemuyiwa, Solomon Tomori, Oyewale Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend |
title | Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend |
title_full | Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend |
title_fullStr | Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend |
title_full_unstemmed | Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend |
title_short | Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend |
title_sort | ecological correlates and predictors of lassa fever incidence in ondo state, nigeria 2017–2021: an emerging urban trend |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682180/ https://www.ncbi.nlm.nih.gov/pubmed/38012226 http://dx.doi.org/10.1038/s41598-023-47820-3 |
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