Selected article for: "data source and infection rate"

Author: Maximilian Vierlboeck; Roshanak R Nilchiani; Christine M Edwards
Title: The Easter and Passover Blip in New York City
  • Document date: 2020_4_17
  • ID: 72v6qufw_12
    Snippet: The infectivity (i) was defined as a constant based on the likelihood of infection when people interact and hence was derived from various sources and set to 5% [13, 14] due to the higher population density of NYC compared to the locations of the source data. The constant infectivity allowed a modulation and adjustment of the infection rate based on the second component, the effective contact rate. This rate was furthermore used to model and simu.....
    Document: The infectivity (i) was defined as a constant based on the likelihood of infection when people interact and hence was derived from various sources and set to 5% [13, 14] due to the higher population density of NYC compared to the locations of the source data. The constant infectivity allowed a modulation and adjustment of the infection rate based on the second component, the effective contact rate. This rate was furthermore used to model and simulate real word behavior as circumstances like social distancing for example impact the effective contact rate of the population and therefore were ideal to be modeled this way. For the general magnitude of the effective contact rate, the amount of average contacts of people per day in NYC was researched in order to enable a realistic starting point without any measures such as social distancing.

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