Authors :
Olufemi Adekanmbi S.; Abulwasiu Abubakar; Oludele J. Ayoola; Victor Abah A.
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/42evt7ty
DOI :
https://doi.org/10.38124/ijisrt/26aug1483
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Malaria remains a major public health challenge in Nigeria, and its transmission is strongly influenced by climatic
and environmental conditions. Variations in temperature and rainfall can affect mosquito breeding, parasite development and
the seasonal distribution of malaria. Understanding these relationships is important for improving malaria surveillance and
determining the appropriate timing of control interventions. This study examined the relationship between climatic variables
and malaria incidence in the Federal Capital Territory (FCT), Abuja.The study employed a retrospective ecological approach
using monthly malaria incidence data obtained from one health facility in each of the six Area Councils of the FCT. Data
covering the period 2020–2022 were examined to determine temporal and spatial patterns of malaria occurrence. Longer-term
malaria incidence data were also examined using annual malaria incidence estimates and population projections. Climatic
variables, particularly rainfall and temperature, were considered in assessing variations in malaria incidence. Malaria incidence
was expressed in relation to population size to facilitate comparison among the Area Councils. The findings demonstrated
considerable temporal and spatial variation in recorded malaria incidence across the FCT. Most Area Councils exhibited a
recurring pattern of increased malaria incidence in February and August, followed by lower recorded incidence during
November, December and January. The highest incidence occurred in August in 2020 and 2021, whereas the peak shifted to
September in 2022, suggesting interannual variability in the timing of peak malaria transmission. Gwagwalada recorded an
unusual pattern of relatively low malaria incidence in 2020, which may have been influenced by reduced healthcare utilization
associated with the use of the University of Abuja Teaching Hospital as a major COVID-19 treatment centre. In 2021, the
National Hospital in AMAC recorded substantially higher malaria cases than the other study facilities. The longer-term analysis
also indicated an overall increase in malaria incidence, with AMAC showing a particularly pronounced increase. The observed
seasonal patterns were broadly consistent with the established influence of climatic conditions, particularly rainfall and
temperature, on malaria transmission. Climate-informed malaria early-warning systems, strengthened surveillance and Area
Council-specific interventions are recommended to support more effective malaria prevention and control in the FCT.
Keywords :
Malaria Incidence; Climatic Variables; Rainfall; Temperature and Climate Variability.
References :
- Alegana, V. A., Atkinson, P. M., Lourenço, C., et al. (2016). Spatial and temporal modelling of malaria risk in Africa. Malaria Journal, 15, 1–15.
- Association of temperature and precipitation with malaria incidence in 57 countries and territories from 2000 to 2019: A worldwide observational study. (2024). The Lancet Planetary Health.
- Coll, J., Domonkos, P., and Guijarro, J. (2020). Application of Homogenization Methods for Ireland’s Monthly Precipitation Records: Comparison of Break Detection Results. International Journal of Climatology, 40 (14), 6169–6188. https://doi.org/10.1002/joc.6575.
- Costa, L.R.; Gomes, B.H.; Pinto, D.D.C. (2021). Gap Filling and Quality Control Applied to Meteorological Variables Measured in the Northeast Region of Brazil. Atmosphere 2021, 12 (10). https://doi.org/10.3390/atmos12101278.
- Craig, M. H., Snow, R. W., & le Sueur, D. (1999). A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitology Today, 15(3), 105–111. https://doi.org/10.1016/S0169-4758(99)01396-4
- Dalrymple, U., Arambepola, R., Gething, P. W., & Cameron, E. (2019). Global and national spatial and temporal variation in malaria incidence. Malaria Journal, 18, 1–13.
- Dawam, P.D. (2000) The Geography of Abuja Federal Capital Territory. Famous/Asanlu Publishers, Minna.
- Nigeria’s National Population Commission and National Bureau of Statistics Estimates http://www.nigerianstat.gov.ng/report/470.
- Ryan, S. J., Lippi, C. A., Zermoglio, F., et al. (2024). Association of temperature and precipitation with malaria incidence in 57 countries and territories from 2000 to 2019: A worldwide observational study. The Lancet Planetary Health, 8(3), e162–e173. https://doi.org/10.1016/S2542-5196(24)00004-9
- Sani, O. E., Sani, S., Lawal, A. A., Musa, N., & others. (2020). Statistical modelling of the effects of weather factors on malaria occurrence in Abuja, Nigeria. International Journal of Environmental Research and Public Health, 17(10), 3474.
- Spatio-temporal analysis of association between incidence of malaria and environmental predictors of malaria transmission in Nigeria. (2019). Malaria Journal.
- Thomson, M. C., Connor, S. J., D'Alessandro, U., et al. (2005). Predicting malaria infection in Africa using environmental and climate variables. Nature, 438, 117–120.
- World Health Organization. (2023). World malaria report 2023. Geneva: World Health Organization.
- World Health Organization. (2025). World malaria report 2025. Geneva: World Health Organization.
- World Health Organization. (2026). Malaria 2025 Nigeria country profile. Geneva: World Health Organization.
- World Health Organization. (2022). Report on malaria in Nigeria 2022. WHO Regional Office for Africa.
- World Health Organization. (2023). World malaria report 2023. Geneva: World Health Organization.
- World Health Organization. (2025). Malaria surveillance, monitoring and evaluation: A reference manual. Geneva: World Health Organization.
- World Health Organization. (2025). World malaria report 2025: Executive summary. Geneva: World Health Organization.
Malaria remains a major public health challenge in Nigeria, and its transmission is strongly influenced by climatic
and environmental conditions. Variations in temperature and rainfall can affect mosquito breeding, parasite development and
the seasonal distribution of malaria. Understanding these relationships is important for improving malaria surveillance and
determining the appropriate timing of control interventions. This study examined the relationship between climatic variables
and malaria incidence in the Federal Capital Territory (FCT), Abuja.The study employed a retrospective ecological approach
using monthly malaria incidence data obtained from one health facility in each of the six Area Councils of the FCT. Data
covering the period 2020–2022 were examined to determine temporal and spatial patterns of malaria occurrence. Longer-term
malaria incidence data were also examined using annual malaria incidence estimates and population projections. Climatic
variables, particularly rainfall and temperature, were considered in assessing variations in malaria incidence. Malaria incidence
was expressed in relation to population size to facilitate comparison among the Area Councils. The findings demonstrated
considerable temporal and spatial variation in recorded malaria incidence across the FCT. Most Area Councils exhibited a
recurring pattern of increased malaria incidence in February and August, followed by lower recorded incidence during
November, December and January. The highest incidence occurred in August in 2020 and 2021, whereas the peak shifted to
September in 2022, suggesting interannual variability in the timing of peak malaria transmission. Gwagwalada recorded an
unusual pattern of relatively low malaria incidence in 2020, which may have been influenced by reduced healthcare utilization
associated with the use of the University of Abuja Teaching Hospital as a major COVID-19 treatment centre. In 2021, the
National Hospital in AMAC recorded substantially higher malaria cases than the other study facilities. The longer-term analysis
also indicated an overall increase in malaria incidence, with AMAC showing a particularly pronounced increase. The observed
seasonal patterns were broadly consistent with the established influence of climatic conditions, particularly rainfall and
temperature, on malaria transmission. Climate-informed malaria early-warning systems, strengthened surveillance and Area
Council-specific interventions are recommended to support more effective malaria prevention and control in the FCT.
Keywords :
Malaria Incidence; Climatic Variables; Rainfall; Temperature and Climate Variability.