Delayed Recognition of Coronavirus Disease 2019 (COVID-19) in New York City: A Descriptive Analysis of COVID-19 Illness Prior to 29 February 2020
| Autor: | Page Keating, Jessica Sell, Judy Chen, Joel Ackelsberg, Winfred Wu, Benjamin Tsoi, Don Weiss |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Clinical Infectious Diseases. 76:e250-e254 |
| ISSN: | 1537-6591 1058-4838 |
| Popis: | Background On 30 January 2020, COVID-19 was declared a Public Health Emergency of International Concern (PHEIC) by the World Health Organization. Almost a month later, on 29 February 2020, the first case in New York City (NYC) was diagnosed. Methods Three hundred sixty persons with COVID-19–like illness were reported to the NYC Department of Health and Mental Hygiene (DOHMH) before 29 February, but 37 of these tested negative and 237 were never tested for severe acute respiratory syndrome coronavirus 2. Records of 86 persons with confirmed COVID-19 and reported symptom onset prior to 29 February 2020 were reviewed by 4 physician-epidemiologists. Case-patients were classified as possible delayed recognition (PDR) of COVID-19 when upon medical review the reported onset date was believed to reflect the initial symptoms of COVID-19, or insufficient evidence to classify, when the onset could not be determined with confidence. Clinical and epidemiological factors collected by DOHMH and supplemented with emergency department records were analyzed. Results Thirty-nine PDR COVID-19 cases were identified. The majority had severe disease with 69% presenting to an emergency department within 2 weeks of symptom onset. The first PDR COVID-19 case had symptom onset on 28 January 2020. Only 7 of the 39 cases (18%) had traveled internationally within 14 days of onset (none to China). Conclusions COVID-19 was in NYC before being classified as a PHEIC, and eluded surveillance for another month. The delay in recognition limited mitigation efforts; by the time city- and statewide mandates were enacted, 16 and 22 days later, there was already widespread community transmission. |
| Databáze: | OpenAIRE |
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