Abstract
Know your epidemic, know your response: understanding and responding to the heterogeneity of the COVID-19 epidemics across Southeast Asia.
Highlights
Inter- and intra-regional differences in infection patterns have been observed in other epidemics
Recent advancements in data science have allowed unprecedented real-time access to data that we are using to monitor national COVID-19 trajectories [5], disaggregate risks for infection and death [6], and track the stringency of government response efforts [7]. These data can be considered in the context of historical variability in the trajectories of past respiratory pathogens that may help explain current heterogeneity observed in COVID-19 case burden
It is this heterogeneity that epidemiologists and policy makers have come to appreciate when informing the implementation of influenza vaccination campaigns and appear to affect differential COVID-19 pandemic patterns by region and sub-region [10]
Summary
Inter- and intra-regional differences in infection patterns have been observed in other epidemics. Recent advancements in data science have allowed unprecedented real-time access to data that we are using to monitor national COVID-19 trajectories [5], disaggregate risks for infection and death [6], and track the stringency of government response efforts [7]. These data can be considered in the context of historical variability in the trajectories of past respiratory pathogens that may help explain current heterogeneity observed in COVID-19 case burden.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have