Journal
TRENDS IN PARASITOLOGY
Volume 32, Issue 1, Pages 19-29Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.pt.2015.09.006
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Funding
- German Academic Exchange Service (DAAD)
- Senior Research Fellowship from the Wellcome Trust [095066]
- RAPIDD program of the Science and Technology Directorate, Department of Homeland Security
- Fogarty International Center (FIC), National Institutes of Health (NIH)
- International Research Consortium on Dengue Risk Assessment Management and Surveillance [IDAMS, European Commission 7th Framework Programme] [21803]
- Bill and Melinda Gates Foundation [OPP1093011]
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Quantitatively mapping the spatial distributions of infectious diseases is key to both investigating their epidemiology and identifying populations at risk of infection. Important advances in data quality and methodologies have allowed for better investigation of disease risk and its association with environmental factors. However, incorporating dynamic human behavioural processes in disease mapping remains challenging. For example, connectivity among human populations, a key driver of pathogen dispersal, has increased sharply over the past century, along with the availability of data derived from mobile phones and other dynamic data sources. Future work must be targeted towards the rapid updating and dissemination of appropriately designed disease maps to guide the public health community in reducing the global burden of infectious disease.
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