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Dynamic Public Health Surveillance to Track and Mitigate the US COVID-19 Epidemic: Longitudinal Trend Analysis Study.

Lori Ann PostTariq Ziad IssaMichael J BoctorCharles B MossRobert Leo MurphyMichael G IsonChad J AchenbachDanielle ResnickLauren Nadya SinghJanine I WhiteJoshua Marco Mitchell FaberKasen CullerCynthia A BrandtJames Francis Oehmke
Published in: Journal of medical Internet research (2020)
Standard surveillance techniques such as daily and cumulative infections and deaths are helpful but only provide a static view of what has already occurred in the pandemic and are less helpful in prevention. Public health policy that is informed by dynamic surveillance can shift the country from reacting to COVID-19 transmissions to being proactive and taking corrective action when indicators of speed, acceleration, jerk, and persistence remain positive week over week. Implicit within our dynamic surveillance is an early warning system that indicates when there is problematic growth in COVID-19 transmissions as well as signals when growth will become explosive without action. A public health approach that focuses on prevention can prevent major outbreaks in addition to endorsing effective public health policies. Moreover, subnational analyses on the dynamics of the pandemic allow us to zero in on where transmissions are increasing, meaning corrective action can be applied with precision in problematic areas. Dynamic public health surveillance can inform specific geographies where quarantines are necessary while preserving the economy in other US areas.
Keyphrases
  • public health
  • coronavirus disease
  • sars cov
  • global health
  • physical activity
  • mental health
  • palliative care
  • cross sectional
  • infectious diseases
  • data analysis
  • advanced cancer