Coronavirus Roundup II

Some things I’ve found interesting and useful lately:

R0

What I think is a pretty important article from LANL: High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2. This tackles the questions I wondered about in my steady state growth post, i.e. that high observed growth rates imply high R0 if duration of infectiousness is long.

Earlier in the epidemic, this was already a known problem:

The time scale of asymptomatic transmission affects estimates of epidemic potential in the COVID-19 outbreak

The reproductive number of COVID-19 is higher compared to SARS coronavirus

Data

Epiforecasts’ time varying R0 estimates

CMMID’s time varying reporting coverage estimates

NECSI’s daily update for the US

The nifty database of US state policies from Raifman et al. at BU

A similar policy tracker for the world

The covidtracking database. Very useful, if you don’t mind a little mysterious turbulence in variable naming.

The Kinsa thermometer US health weather map

Miscellaneous

Nature’s Special report: The simulations driving the world’s response to COVID-19

Pandemics Depress the Economy, Public Health Interventions Do Not: Evidence from the 1918 Flu

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period has some interesting dynamics, including seasonality.

Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing looks at requirements for contact tracing and isolation

Models for Count Data With Overdispersion has important considerations for calibration

Variolation: hmm. Filed under “interesting but possibly crazy.”

Creative, and less obviously crazy: An alternating lock-down strategy for sustainable mitigation of COVID-19

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