Variability Effects of Meteorological Factors on Reported Malaria Cases in Kano and Lagos States of Nigeria

Adetunji K. Ilori, Ugochukwu D. Uche, Adebisi Michael, Damilare M. Oladimeji, Omaku P. Enesi and Toyosi Adebambo
Additional contact information
Adetunji K. Ilori: Statistics Programme, National Mathematical Center, Abuja, Nigeria Kaduna-Lokoja Expressway, Sheda, Kwali, Abuja.
Ugochukwu D. Uche: Statistics Programme, National Mathematical Center, Abuja, Nigeria Kaduna-Lokoja Expressway, Sheda, Kwali, Abuja.
Adebisi Michael: Nigeria Centre for Disease Control and Prevention
Damilare M. Oladimeji: Department of Statistics, University of Abuja, FCT, Nigeria
Omaku P. Enesi: Department of Mathematics and Statistics, Federal Polytechnic, Nassarawa
Toyosi Adebambo: UNICAF University, Zambia

International Journal of Latest Technology in Engineering, Management & Applied Science, 2024, vol. 13, issue 9, 94-100

Abstract: Malaria is one of life’s threatening disease that contributed significantly to morbidity and mortality in Nigeria. The variability effects of meteorological factors between the Northern and Southern region of Nigeria on malaria transmission remain unclear and not well researched. This research was aimed at comparing the non-linear effects of seasonal, trend and meteorological variables on monthly malaria cases in Kano and Lagos State of Nigeria. The monthly malaria cases for age group above 5-year for Kano and Lagos State were obtained from DHIS for the period of January, 2016 to December, 2022. Also, the predictors/meteorological variables (Rainfall, Relative Humidity, Minimum Temperature and Maximum Temperature) were obtained from Nigeria Meteorological Agent. Generalized Additive Model was fitted using Negative Binomial to apply smooth function to estimate and compare the effects of the selected predictors on the malaria transmission in Kano and Lagos States. Rainfall and Maximum temperature were found not significant in explaining the effect of malaria transmission. Malaria transmission was found to be seasonal and varying in Kano State with highest transmission between September and October while the seasonal effect was reduced to linear in Lagos State. The long term trend had a significant increasing effect on malaria transmission in Kano Sate compared to non-significant effect in Lagos State. The effect of Relative Humidity was reduced to linear and increasing in the both State. Paying attention to the variability in the influence of season, trend and meteorological variables on malaria transmission will enhance respective State Government to develop an early warning and awareness that will help in controlling the malaria outbreak in their State.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ijltemas.in/DigitalLibrary/Vol.13Issue9/94-100.pdf (application/pdf)
https://www.ijltemas.in/papers/volume-13-issue-9/94-100.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjb:journl:v:13:y:2024:i:9:p:94-100

Access Statistics for this article

International Journal of Latest Technology in Engineering, Management & Applied Science is currently edited by Dr. Pawan Verma

More articles in International Journal of Latest Technology in Engineering, Management & Applied Science from International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Bibliographic data for series maintained by Dr. Pawan Verma ().