Robust estimation of SARS-CoV-2 epidemic in US counties
Hanmo Li, Mengyang Gu

TL;DR
This paper presents a robust method to estimate COVID-19 progression at US counties, highlighting how reducing infectious periods can significantly lower deaths and emphasizing the importance of combined mitigation strategies.
Contribution
It introduces a county-level estimation approach for SARS-CoV-2 spread and quantifies the impact of shortening infectious periods on reducing COVID-19 deaths.
Findings
Shortening infectious period by 5% can reduce around 39% of deaths.
Reducing infectious period has a greater impact when R is close to 1.
Provides a dynamic map for local policy and public risk assessment.
Abstract
The COVID-19 outbreak is asynchronous in US counties. Mitigating the COVID-19 transmission requires not only the state and federal level order of protective measures such as social distancing and testing, but also public awareness of time-dependent risk and reactions at county and community levels. We propose a robust approach to estimate the heterogeneous progression of SARS-CoV-2 at all US counties having no less than 2 COVID-19 associated deaths, and we use the daily probability of contracting (PoC) SARS-CoV-2 for a susceptible individual to quantify the risk of SARS-CoV-2 transmission in a community. We found that shortening by of the infectious period of SARS-CoV-2 can reduce around (or K, CI: K K ) of the COVID-19 associated deaths in the US as of 20 September 2020. Our findings also indicate that reducing infection and deaths by a shortened…
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Taxonomy
TopicsCOVID-19 epidemiological studies · SARS-CoV-2 and COVID-19 Research · Influenza Virus Research Studies
