Health IT Analytics April 7, 2021
A new big data framework leverages epidemiological and socioeconomic risk factors to identify populations vulnerable to COVID-19 and other infectious diseases.
A big data framework combining epidemiological and socioeconomic risk factors revealed that COVID-19 risk increased in areas with more crowding, population mobility, and morbidity, while risk decreased after the deployment of effective public health interventions.
The framework, described in a study published in the International Journal of Environmental Research and Public Health, offers a globally replicable model for mapping future pandemics.
Research conducted during and after less severe pandemics, like severe acute respiratory syndrome (SARS) and H1N1, has shown that there was a gap in how these illnesses were detected and treated among different populations. Socioeconomically disadvantaged populations were...
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