Author
Listed:
- 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)
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.
Suggested Citation
Adetunji K. Ilori & Ugochukwu D. Uche & Adebisi Michael & Damilare M. Oladimeji & Omaku P. Enesi & Toyosi Adebambo, 2024.
"Variability Effects of Meteorological Factors on Reported Malaria Cases in Kano and Lagos States of Nigeria,"
International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 13(9), pages 94-100, September.
Handle:
RePEc:bjb:journl:v:13:y:2024:i:9:p:94-100
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjb:journl:v:13:y:2024:i:9:p:94-100. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.