Too Hot, Too Wet: Bayesian Spatial Modeling of Climate‐Driven Salmonella Risk in New South Wales, Australia, 1991–2022
Oyelola A. Adegboye, Tehan Amarasena, Mohammad Afzal Khan, Hassan Ajulo et autres
0 citationsGeoHealth
Hassan Ajulo
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5Publications signalées
4Citations signalées
2Affiliations récentes
Institutions déclarées
Domaines associés
Data-Driven Disease SurveillanceCOVID-19 epidemiological studiesHealth disparities and outcomesSalmonella and Campylobacter epidemiologyClimate Change and Health Impacts
Publications récentes
Spatial and Spatiotemporal Machine Learning Models for COVID-19 Dynamics: A Review of Methodology and Reporting Practices
Hassan Ajulo, Faith Alele, Theophilus I. Emeto, Oyelola A. Adegboye
0 citationsSSRN Electronic Journal
Geospatial Modelling of COVID-19 Outcomes: Insights from Composite Indicators for Pandemic Preparedness
Hassan Ajulo, Faith Alele, Theophilus I. Emeto, Oyelola A. Adegboye
1 citationSSRN Electronic Journal
Spatiotemporal Modelling and Composite Indices for Pandemic Preparedness: A Novel Geospatial-Temporal Approach
Hassan Ajulo, Theophilus I. Emeto, Faith Alele, Oyelola A. Adegboye
0 citationsSSRN Electronic Journal
Spatial and spatiotemporal machine learning models for COVID-19 dynamics: a review of methodology and reporting practices
Hassan Ajulo, Faith Alele, Theophilus I. Emeto, Oyelola A. Adegboye
3 citationsEpidemiologic Reviews
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