Cargando…

Early warning climate indices for malaria and meningitis in tropical ecological zones

This study aims at assessing the impacts of climate indices on the spatiotemporal distribution of malaria and meningitis in Nigeria. The primary focus of the research is to develop an Early Warning System (EWS) for assessing climate variability implications on malaria and meningitis spread in the st...

Descripción completa

Detalles Bibliográficos
Autores principales: Ayanlade, Ayansina, Nwayor, Isioma J., Sergi, Consolato, Ayanlade, Oluwatoyin S., Di Carlo, Paola, Jeje, Olajumoke D., Jegede, Margaret O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459128/
https://www.ncbi.nlm.nih.gov/pubmed/32868821
http://dx.doi.org/10.1038/s41598-020-71094-8
_version_ 1783576316711272448
author Ayanlade, Ayansina
Nwayor, Isioma J.
Sergi, Consolato
Ayanlade, Oluwatoyin S.
Di Carlo, Paola
Jeje, Olajumoke D.
Jegede, Margaret O.
author_facet Ayanlade, Ayansina
Nwayor, Isioma J.
Sergi, Consolato
Ayanlade, Oluwatoyin S.
Di Carlo, Paola
Jeje, Olajumoke D.
Jegede, Margaret O.
author_sort Ayanlade, Ayansina
collection PubMed
description This study aims at assessing the impacts of climate indices on the spatiotemporal distribution of malaria and meningitis in Nigeria. The primary focus of the research is to develop an Early Warning System (EWS) for assessing climate variability implications on malaria and meningitis spread in the study area. Both climate and health data were used in the study to determine the relationship between climate variability and the occurrence of malaria and meningitis. The assessment was based on variations in different ecological zones in Nigeria. Two specific sample locations were randomly selected in each ecological zone for the analysis. The climatic data used in this study are dekadal precipitation, minimum and maximum temperature between 2000 and 2018, monthly aerosol optical depth between 2000 and 2018. The results show that temperature is relatively high throughout the year because the country is located in a tropical region. The significant findings of this study are that rainfall has much influence on the occurrence of malaria, while temperature and aerosol have more impact on meningitis. We found the degree of relationship between precipitation and malaria, there is a correlation coefficient R(2) ≥ 70.0 in Rainforest, Freshwater, and Mangrove ecological zones. The relationship between temperature and meningitis is accompanied by R(2) ≥ 72.0 in both Sahel and Sudan, while aerosol and meningitis harbour R(2) = 77.33 in the Sahel. The assessment of this initial data seems to support the finding that the occurrences of meningitis are higher in the northern region, especially the Sahel and Sudan. In contrast, malaria occurrence is higher in the southern part of the study area. In all, the multiple linear regression results revealed that rainfall was directly associated with malaria with β = 0.64, p = 0.001 but aerosol was directly associated with meningitis with β = 0.59, p < 0.001. The study concludes that variability in climatic elements such as low precipitation, high temperature, and aerosol may be the major drivers of meningitis occurrence.
format Online
Article
Text
id pubmed-7459128
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-74591282020-09-01 Early warning climate indices for malaria and meningitis in tropical ecological zones Ayanlade, Ayansina Nwayor, Isioma J. Sergi, Consolato Ayanlade, Oluwatoyin S. Di Carlo, Paola Jeje, Olajumoke D. Jegede, Margaret O. Sci Rep Article This study aims at assessing the impacts of climate indices on the spatiotemporal distribution of malaria and meningitis in Nigeria. The primary focus of the research is to develop an Early Warning System (EWS) for assessing climate variability implications on malaria and meningitis spread in the study area. Both climate and health data were used in the study to determine the relationship between climate variability and the occurrence of malaria and meningitis. The assessment was based on variations in different ecological zones in Nigeria. Two specific sample locations were randomly selected in each ecological zone for the analysis. The climatic data used in this study are dekadal precipitation, minimum and maximum temperature between 2000 and 2018, monthly aerosol optical depth between 2000 and 2018. The results show that temperature is relatively high throughout the year because the country is located in a tropical region. The significant findings of this study are that rainfall has much influence on the occurrence of malaria, while temperature and aerosol have more impact on meningitis. We found the degree of relationship between precipitation and malaria, there is a correlation coefficient R(2) ≥ 70.0 in Rainforest, Freshwater, and Mangrove ecological zones. The relationship between temperature and meningitis is accompanied by R(2) ≥ 72.0 in both Sahel and Sudan, while aerosol and meningitis harbour R(2) = 77.33 in the Sahel. The assessment of this initial data seems to support the finding that the occurrences of meningitis are higher in the northern region, especially the Sahel and Sudan. In contrast, malaria occurrence is higher in the southern part of the study area. In all, the multiple linear regression results revealed that rainfall was directly associated with malaria with β = 0.64, p = 0.001 but aerosol was directly associated with meningitis with β = 0.59, p < 0.001. The study concludes that variability in climatic elements such as low precipitation, high temperature, and aerosol may be the major drivers of meningitis occurrence. Nature Publishing Group UK 2020-08-31 /pmc/articles/PMC7459128/ /pubmed/32868821 http://dx.doi.org/10.1038/s41598-020-71094-8 Text en © The Author(s) 2020 Open AccessThis 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/.
spellingShingle Article
Ayanlade, Ayansina
Nwayor, Isioma J.
Sergi, Consolato
Ayanlade, Oluwatoyin S.
Di Carlo, Paola
Jeje, Olajumoke D.
Jegede, Margaret O.
Early warning climate indices for malaria and meningitis in tropical ecological zones
title Early warning climate indices for malaria and meningitis in tropical ecological zones
title_full Early warning climate indices for malaria and meningitis in tropical ecological zones
title_fullStr Early warning climate indices for malaria and meningitis in tropical ecological zones
title_full_unstemmed Early warning climate indices for malaria and meningitis in tropical ecological zones
title_short Early warning climate indices for malaria and meningitis in tropical ecological zones
title_sort early warning climate indices for malaria and meningitis in tropical ecological zones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459128/
https://www.ncbi.nlm.nih.gov/pubmed/32868821
http://dx.doi.org/10.1038/s41598-020-71094-8
work_keys_str_mv AT ayanladeayansina earlywarningclimateindicesformalariaandmeningitisintropicalecologicalzones
AT nwayorisiomaj earlywarningclimateindicesformalariaandmeningitisintropicalecologicalzones
AT sergiconsolato earlywarningclimateindicesformalariaandmeningitisintropicalecologicalzones
AT ayanladeoluwatoyins earlywarningclimateindicesformalariaandmeningitisintropicalecologicalzones
AT dicarlopaola earlywarningclimateindicesformalariaandmeningitisintropicalecologicalzones
AT jejeolajumoked earlywarningclimateindicesformalariaandmeningitisintropicalecologicalzones
AT jegedemargareto earlywarningclimateindicesformalariaandmeningitisintropicalecologicalzones