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Calculate the prevalence of coronavirus in the NYC Regional Health System for the month of January.

Calculate the prevalence of coronavirus in the NYC Regional Health System for the month of January.

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Expert Solution

The prevalence of coronavirus in the NYC Regional Health System for the month of January-----

The World Health Organization declared COVID-19 a pandemic:--

  1. That same day, the first confirmed COVID-19–associated fatality occurred in New York City (NYC)- To identify confirmed COVID-19–associated deaths, defined as those occurring in persons with laboratory-confirmed SARS-CoV-2 infection, on JANUARY, 2020, the New York City Department of Health and Mental Hygiene (DOHMH) initiated a daily match between all deaths reported to the DOHMH electronic vital registry system.
  2. Laboratory-confirmed cases of COVID-19. Deaths for which COVID-19, SARS-CoV-2, or an equivalent term is listed on the death certificate as an immediate, underlying, or contributing cause of death, but that do not have laboratory-confirmation of COVID-19 are classified as probable COVID-19–associated deaths. As of May 2, a total of 13,831 laboratory-confirmed COVID-19–associated deaths, and 5,048 probable COVID-19–associated deaths were recorded in NYC.
  3. The counting of confirmed and probable COVID-19–associated deaths might not include deaths among persons with SARS-CoV-2 infection who did not access diagnostic testing, tested falsely negative, or became infected after testing negative, died outside of a health care setting, or for whom COVID-19 was not suspected by a health care provider as a cause of death.  The objective of this report is to provide an estimate of all-cause excess deaths that have occurred in NYC in the setting of widespread community transmission of SARS-CoV-2.
  4. public health emergencies
  5. DOHMH has developed an electronic vital statistics reporting system that provides a near complete count of all deaths that occur in NYC.
  6. The true number of people with COVID-19 could be up to 100 times higher than confirmed cases.
  7. Testing a random sample of 5,000 people could predict the prevalence of coronavirus.
  8. Wider testing to identify immunity could lead to less restrictive social distancing measures.

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