ArticleScientific reports2020
Early warning climate indices for malaria and meningitis in tropical ecological zones.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 38 citations in OpenAlex.
- Review
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- Spatiotemporal patterns and association with climate for malaria elimination in Lao PDR: a hierarchical modelling analysis with two-step Bayesian model selection.Malaria journal · 2024Article
- Seasonal Variation Analysis for Weekly Cases, Deaths, and Hospitalizations of COVID-19 in the United States.Advances in experimental medicine and biology · 2023Article
- High-spatial resolution epidemic surveillance of bacterial meningitis in the African meningitis belt in Burkina Faso.Scientific reports · 2022Article
- Using machine learning to understand microgeographic determinants of the Zika vector, Aedes aegypti.PloS one · 2022Article
- Caregiver´s perception of the home-based management of childhood malaria in Baneghang and Fombap health areas in the West Region of Cameroon.The Pan African medical journal · 2022Article
- Parental Pesticide Exposure and Childhood Brain Cancer: A Systematic Review and Meta-Analysis Confirming the IARC/WHO Monographs on Some Organophosphate Insecticides and Herbicides.Children (Basel, Switzerland) · 2021Review
- Understanding the relationship between viral infections and trace elements from a metallomics perspective: implications for COVID-19.Metallomics : integrated biometal science · 2020Review
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
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