Corpus overview


MeSH Disease

Human Phenotype

Fever (1)



There are no seroprevalence terms in the subcorpus

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    In search for the hotspots of Disease X: A biogeographic approach to mapping the predictive risk of WHO s Blueprint Priority Diseases

    Authors: Soushieta Jagadesh; Marine Combe; Mathieu Nacher; Rodolphe Ellie Gozlan

    doi:10.1101/2020.03.27.20044156 Date: 2020-03-30 Source: medRxiv

    Anthropization of natural habitats including climate change along with overpopulation and global travel TRANS have been contributing to emerging infectious diseases MESHD outbreaks. The recent COVID-19 outbreak in Wuhan, highlights such threats to human health, social stability and global trade and economy. We used species distribution modelling and environmental data from satellite imagery to model Blueprint Priority Diseases occurrences. We constructed classical regression and Support Vector Machine models based on environmental predictor variables such as landscape, tree cover loss, climatic covariates. Models were evaluated and a weighed mean was used to map the predictive risk of disease emergence. We mapped the predictive risk for filovirus, Nipah, Rift Valley Fever MESHD Fever HP and coronavirus diseases MESHD. Elevation, tree cover loss and climatic covariates were found to significant factors influencing disease emergence. We also showed the relevance of disease biogeography and in the identification potential hotspots for Disease X in regions in Uganda and China.

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MeSH Disease
Human Phenotype

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