Geospatial Assessment of Potential Areas for Arthropod-Vectors of Rift Valley Fever Virus (RVFV) Across Nigeria Using Modis-Ndvi Dataset

Sadiq Abdullahi Yelwa, Salawu Onoruoiza Ganiyu and Abubakar Umar
Additional contact information
Sadiq Abdullahi Yelwa: Department of Environmental and Resources Management, Usmanu Danfodiyo University, P.M.B 2346, Sokoto, Nigeria
Salawu Onoruoiza Ganiyu: Department of Geography, Nigerian Defence Academy, P.M.B. 2109, Kaduna
Abubakar Umar: Department of Geography, Nigerian Defence Academy, P.M.B. 2109, Kaduna

International Journal of Research and Scientific Innovation, 2024, vol. 11, issue 15, 116-123

Abstract: Rift Valley Fever Virus (RVFV) is an arthropod-borne viral disease that affects both domestic animals as well as human beings. The outbreaks of such disease especially in Africa are reported to be closely related to areas of above or below normal rainfall that is associated with the warm phase of El-Niňo Southern Oscillations (ENSO) phenomenon. This ENSO event is as a result of abnormal change in sea surface temperature that affects global precipitation and in other areas, vegetation biomass. For a sustainable healthy environment and healthy livestock production in Nigeria under the present economic circumstances, this study therefore, suggests a cost-effective technique for mapping out spatial patterns of likely RVFV and other vector-borne disease habitats across Nigeria. Remote Sensing and GIS can be a cost-effective component of disease control campaign for mapping out potential areas at risk of such diseases. Principal Component Analysis (PCA) technique was used where Standardised Principal Components images and their corresponding loading scores were derived from Normalised Difference Vegetation Index (MODIS-NDVI) dataset acquired from USGS-EROS Data Center for the ENSO event of September 2014 to December 2015 covering Nigeria and parts of surrounding countries. The results on the first principal component image showed a characteristic vegetation biomass pattern across Nigeria over the entire time-series. The second component shows a cyclic trend related to climatic variations and vegetation across the country. A threshold in the PCA was used to isolate and produce a potential risk areas map primarily considered to have potential of RVFV and other arthropod-borne disease across the country. For sustainable ecological environment and healthy livestock production in Nigeria the results derived from this study would provide public health authorities like epidemiological departments and other stakeholders with a working document for animal disease reporting system which would also cut down operational costs.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijrsi/d ... issue-15/116-123.pdf (application/pdf)
https://rsisinternational.org/journals/ijrsi/artic ... -modis-ndvi-dataset/ (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:bjc:journl:v:11:y:2024:i:15:p:116-123

Access Statistics for this article

International Journal of Research and Scientific Innovation is currently edited by Dr. Renu Malsaria

More articles in International Journal of Research and Scientific Innovation from International Journal of Research and Scientific Innovation (IJRSI)
Bibliographic data for series maintained by Dr. Renu Malsaria ().