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Preliminary Estimate of Excess Mortality During the COVID-19 Outbreak — New York City, March 11–May 2, 2020
Open accessAbstract
SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), was first identified in December 2019 in Wuhan, China, and has since spread worldwide. On March 11, 2020, 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 March 13, 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 (eVital) (2) and 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). Counting only confirmed or probable COVID-19-associated deaths, however, likely underestimates the number of deaths attributable to the pandemic. 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 counting of confirmed and probable COVID-19-associated deaths also does not include deaths that are not directly associated with SARS-CoV-2 infection. 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. Excess deaths refer to the number of deaths above expected seasonal baseline levels, regardless of the reported cause of death. Estimation of all-cause excess deaths is used as a nonspecific measure of the severity or impact of pandemics (4) and public health emergencies (5). Reporting of excess deaths might provide a more accurate measure of the impact of the pandemic.
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Cited by
Weinberger, D. M., Chen, J., Cohen, T., Crawford, F. W., Mostashari, F., Olson, D., Pitzer, V. E., Reich, N. G., Russi, M., Simonsen, L., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.3391 · Cited by 485
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Metadata
- Authors
- New York City Department of Health and Mental Hygiene (DOHMH) COVID-19 Response Team, New York City Department of Health and Mental Hygiene (DOHMH) COVID-19 Response Team, Olson, D. R., Huynh, M., Fine, A., Baumgartner, J., Castro, A., Chan, H. T., Daskalakis, D., Devinney, K., Guerra, K., Harper, S., Kennedy, J., Konty, K., Li, W., McGibbon, E., Shaff, J., Thompson, C., Vora, N. M., & Van Wye, G.
- Venue
- MMWR. Morbidity and Mortality Weekly Report
- Published
- 2020-05-15
- Volume
- 69
- Issue
- 19
- Pages
- 603-605
- ISSN
- 0149-2195 (ISSN-L)
- 1545-861X
- OpenAlex
- W3024470475
- Cited by
- 176
- References
- 0
- FWCI
- 6.50
- Type
- journal article
- Language
- en
- Open access
- diamond
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- New York City Department of Health and Mental Hygiene (DOHMH) COVID-19 Response Team, New York City Department of Health and Mental Hygiene (DOHMH) COVID-19 Response Team, Olson, D. R., Huynh, M., Fine, A., Baumgartner, J., Castro, A., Chan, H. T., Daskalakis, D., Devinney, K., Guerra, K., Harper, S., Kennedy, J., Konty, K., Li, W., McGibbon, E., Shaff, J., Thompson, C., Vora, N. M., & Van Wye, G. (2020). Preliminary Estimate of Excess Mortality During the COVID-19 Outbreak — New York City, March 11–May 2, 2020. MMWR. Morbidity and Mortality Weekly Report. https://doi.org/10.15585/mmwr.mm6919e5
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.