Surveillance Metrics of SARS-CoV-2 Transmission in Central Asia: Longitudinal Trend Analysis.
Lori Ann PostElana T BenishayCharles B MossRobert Leo MurphyChad J AchenbachMichael G IsonDanielle ResnickLauren Nadya SinghJanine I WhiteAzraa S ChaudhuryMichael J BoctorSarah B WelchJames Francis OehmkePublished in: Journal of medical Internet research (2021)
The rapidly evolving COVID-19 pandemic requires novel dynamic surveillance metrics in addition to static metrics to effectively analyze the pandemic trajectory and control spread. Policy makers need to know the magnitude of transmission rates, how quickly they are accelerating, and how previous cases are impacting current caseload due to a lag effect. These metrics applied to Central Asia suggest that the region is trending negatively, primarily due to minimal restrictions in Russia.