Moving towards real time integrated surveillance
Diseases like Ebola are a danger not only for people’s lives, but also for the economy of a country. Faster recognition tools have to be implemented to prevent outbreaks like the 2014 Ebola outbreak in West Africa.
Jakob Zinsstag explains, with a theoretical model, how the response time after diagnosing an illness could be reduced and which aspects are very important to prevent greater damages and outbreaks.
Further reading
Brinkel, J. et al. (2014). Mobile Phone-Based mHealth Approaches for Public Health Surveillance in Sub-Saharan Africa: A Systematic Review, in: International Journal of Environmental Research and Public Health 11, 11559-11582.
One Health: Connecting Humans, Animals and the Environment
One Health: Connecting Humans, Animals and the Environment
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