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Gbenga J Abiodun

Biographic Data

ID6476636
NAMEGbenga J Abiodun
GIVEN NAMESGbenga J
FAMILY NAMEAbiodun
SIGNATUREABIODUN G J
AFFILIATIONSSouthern Methodist University
ORCID0000-0002-6805-2128
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Modelling of malaria incidence in Akure, Nigeria

    Open Access•Olusola Samuel Makinde, Gbenga J Abiodun et al.•ARTICLE•GeoJournal•2020•Cited by: 1

  • A Dynamical and Zero-Inflated Negative Binomial Regression Modelling of Malaria Incidence in Limpopo Province, South Africa

    Open Access•Gbenga J Abiodun, Olusola Samuel Makinde et al.•ARTICLE•International Journal of…•2019

    Recent studies have considered the connections between malaria incidence and climate variables using mathematical and statistical models. Some of the statistical models focused on time series approach based on Box-Jenkins methodology or on dynamic model. The latter approach allows for covariates different from its original lagged values, while the Box-Jenkins does not. In real situations, malaria incidence counts may turn up with many zero terms …

  • Rainfall Trends and Malaria Occurrences in Limpopo Province, South Africa

    Open Access•Abiodun M Adeola, Katlego P Ncongwane et al.•ARTICLE•International Journal of…•2019

    This contribution aims to investigate the influence of monthly total rainfall variations on malaria transmission in the Limpopo Province. For this purpose, monthly total rainfall was interpolated from daily rainfall data from weather stations. Annual and seasonal trends, as well as cross-correlation analyses, were performed on time series of monthly total rainfall and monthly malaria cases in five districts of Limpopo Province for the period of 1…

  • Modelling of malaria incidence in Akure, Nigeria

    Open Access•Olusola Samuel Makinde, Gbenga J Abiodun et al.•ARTICLE•GeoJournal•2020•Cited by: 1

  • A Dynamical and Zero-Inflated Negative Binomial Regression Modelling of Malaria Incidence in Limpopo Province, South Africa

    Open Access•Gbenga J Abiodun, Olusola Samuel Makinde et al.•ARTICLE•International Journal of…•2019

    Recent studies have considered the connections between malaria incidence and climate variables using mathematical and statistical models. Some of the statistical models focused on time series approach based on Box-Jenkins methodology or on dynamic model. The latter approach allows for covariates different from its original lagged values, while the Box-Jenkins does not. In real situations, malaria incidence counts may turn up with many zero terms …

  • Rainfall Trends and Malaria Occurrences in Limpopo Province, South Africa

    Open Access•Abiodun M Adeola, Katlego P Ncongwane et al.•ARTICLE•International Journal of…•2019

    This contribution aims to investigate the influence of monthly total rainfall variations on malaria transmission in the Limpopo Province. For this purpose, monthly total rainfall was interpolated from daily rainfall data from weather stations. Annual and seasonal trends, as well as cross-correlation analyses, were performed on time series of monthly total rainfall and monthly malaria cases in five districts of Limpopo Province for the period of 1…

  • Modelling of malaria incidence in Akure, Nigeria

    Open Access•Olusola Samuel Makinde, Gbenga J Abiodun et al.•ARTICLE•GeoJournal•2020•Cited by: 1

Geography (3 works) · Malaria (3 works) · COVID-19 epidemiological studies (2 works) · Demography (2 works) · Demography (2 works) · Malaria Research and Control (2 works) · Mathematics (2 works) · Medicine (2 works) · Negative binomial distribution (2 works) · Statistics (2 works)

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