Agent-Based Models

Agent-Based Models  computer models that study complex epidemiological systems with computer simulations. Within an ABM, every individual is represented  as an agent. Agents interact among each other and with an environment to create the complex network of interactions and feedbacks typical of infectious diseases transmission (Pizzitutti et al., 2018).



Pizzitutti, F., Pan, W., Feingold, B., Zaitchik, B., Álvarez, C. A., and Mena, C. F. "Out of the net: An agent-based model to study human movements influence on local-scale malaria transmission." PloS one, 13(3), (2018): e0193493.

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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.