TY - GEN
T1 - Micro-spatial modelling of malaria cases and environmental risk factors in Buhera rural district, Zimbabwe
AU - Mbunge, Elliot
AU - Sibiya, Maureen Nokuthula
AU - Millham, Richard C.
AU - Takavarasha, Sam
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021/3
Y1 - 2021/3
N2 - Malaria continues decimating population in Zimbabwe health system especially in high malarial rural areas. The transmission of malaria is seasonal and strongly influenced by the multiple risk factors such as malaria control interventions, land use, socio-economic determinants and environmental factors in Buhera rural district. Environmental risk factors such as rainfall, normalized difference vegetation index, day land surface temperature, enhanced vegetation index and night land surface temperature are risk factors for malaria as they influence the development of parasite vector and the relationship between the vector and host as well as malaria trends. In Buhera rural district, malaria incidences vary with environmental variables and influence endemicity levels and tend to cluster into high malaria perennial (perennial hotspots), low malaria perennial, high malaria sporadic(seasonal hotspots), low malaria sporadic hence perennial and seasonal hotspots become sources of continued malaria infection. Therefore, the study aimed at the modelling of malaria cases and environmental risk factors at micro-level strengthen malaria interventions and effective allocation of resources.
AB - Malaria continues decimating population in Zimbabwe health system especially in high malarial rural areas. The transmission of malaria is seasonal and strongly influenced by the multiple risk factors such as malaria control interventions, land use, socio-economic determinants and environmental factors in Buhera rural district. Environmental risk factors such as rainfall, normalized difference vegetation index, day land surface temperature, enhanced vegetation index and night land surface temperature are risk factors for malaria as they influence the development of parasite vector and the relationship between the vector and host as well as malaria trends. In Buhera rural district, malaria incidences vary with environmental variables and influence endemicity levels and tend to cluster into high malaria perennial (perennial hotspots), low malaria perennial, high malaria sporadic(seasonal hotspots), low malaria sporadic hence perennial and seasonal hotspots become sources of continued malaria infection. Therefore, the study aimed at the modelling of malaria cases and environmental risk factors at micro-level strengthen malaria interventions and effective allocation of resources.
KW - Environmental risk factors
KW - GWPR
KW - Malaria
KW - Modelling
UR - http://www.scopus.com/inward/record.url?scp=85104616242&partnerID=8YFLogxK
U2 - 10.1109/ICTAS50802.2021.9394987
DO - 10.1109/ICTAS50802.2021.9394987
M3 - Conference contribution
AN - SCOPUS:85104616242
T3 - 2021 Conference on Information Communications Technology and Society, ICTAS 2021 - Proceedings
SP - 52
EP - 58
BT - 2021 Conference on Information Communications Technology and Society, ICTAS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information Communications Technology and Society, ICTAS 2021
Y2 - 10 March 2021 through 11 March 2021
ER -
