Seasonal Human Population Models

Seasonal Human Population Models are used to estimate which populations may be at risk and what their spatial connectivity is to high risk transmission areas (Pan et al., 2017).



Pan, W.K., Zaitchik, B.F., Pizzitutti, F., Berky, A., Feingold, B., Mena, C., Janko, M.  "Forecasting Malaria in the Western Amazon."" AGUFM, (2017), NH53A-0136.

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Using space-based technologies to predict mosquito-borne disease outbreaks

Mosquitos are often cited as one of the deadliest animals in the world, causing up to one million deaths per year (WHO, 2020; CDC, 2021). They can carry and transmit a variety of diseases, including malaria, West Nile virus, dengue fever, and Zika virus; transmitting illness across the globe (Figure 1). To help decrease the burden of disease resulting from mosquitos, researchers are utilising satellite data and remote sensing models to better predict where mosquito breeding grounds may occur in the future.