Statistical Modelling of the Effects of Weather Factors on Malaria Occurrence in Abuja, Nigeria
Bibliographic Data
| ID | 15462829 |
|---|---|
| Authors | Oguntade Emmanuel Segun (0000-0003-2701-6240, Universiti Putra Malaysia), Shamarina Shohaimi (0000-0003-0591-6627, Universiti Putra Malaysia, corresponding author), Meenakshii Nallapan (Universiti Putra Malaysia), Alaba Ajibola Lamidi-Sarumoh (0000-0001-8077-3027, Universiti Putra Malaysia), Nader Salari (0000-0003-3550-405X, Kermanshah University of Medical Sciences) |
| Year | 2020 |
| Volume | 17 |
| Issue | 10 |
| Pages | 3474-3474 |
| Publication date | 2020-05-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17103474 |
| PMID | 32429373 |
| OpenAlex | W3024304120 |
| Language | EN |
| Citations received | 4 |
| References cited | 24 |
Background : despite the increase in malaria control and elimination efforts, weather patterns and ecological factors continue to serve as important drivers of malaria transmission dynamics. This study examined the statistical relationship between weather variables and malaria incidence in Abuja, Nigeria. Methodology/Principal Findings : monthly data on malaria incidence and weather variables were collected in Abuja from the year 2000 to 2013. The analysis of count outcomes was based on generalized linear models, while Pearson correlation analysis was undertaken at the bivariate level. The results showed more malaria incidence in the months with the highest rainfall recorded (June-August). Based on the negative binomial model, every unit increase in humidity corresponds to about 1.010 (95% confidence interval (CI), 1.005-1.015) times increase in malaria cases while the odds of having malaria decreases by 5.8% for every extra unit increase in temperature: 0.942 (95% CI, 0.928-0.956). At lag 1 month, there was a significant positive effect of rainfall on malaria incidence while at lag 4, temperature and humidity had significant influences. Conclusions: malaria remains a widespread infectious disease among the local subjects in the study area. Relative humidity was identified as one of the factors that influence a malaria epidemic at lag 0 while the biggest significant influence of temperature was observed at lag 4. Therefore, emphasis should be given to vector control activities and to create public health awareness on the proper usage of intervention measures such as indoor residual sprays to reduce the epidemic especially during peak periods with suitable weather conditions
Bivariate analysis · Confidence interval · Distributed lag · Environmental health · Geography · Incidence (geometry · Indoor residual spraying · Malaria · Odds ratio · Outbreak · Plasmodium falciparum · Public health · Statistics · COVID-19 epidemiological studies · Demography · Environmental Science · Malaria Research and Control · Mathematics · Medicine · Viral Infections and Vectors · Immunology
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| Citations per year | 0.67 |
|---|---|
| Citation span | 2020 - 2025 (6) |
| Highly cited | No |