| Literature DB >> 33211680 |
Corinne N Thompson1, Jennifer Baumgartner1, Carolina Pichardo1, Brian Toro1, Lan Li1, Robert Arciuolo1, Pui Ying Chan1, Judy Chen1, Gretchen Culp1, Alexander Davidson1, Katelynn Devinney1, Alan Dorsinville1, Meredith Eddy1, Michele English1, Ana Maria Fireteanu1, Laura Graf1, Anita Geevarughese1, Sharon K Greene1, Kevin Guerra1, Mary Huynh1, Christina Hwang1, Maryam Iqbal1, Jillian Jessup1, Jillian Knorr1, Ramona Lall1, Julia Latash1, Ellen Lee1, Kristen Lee1, Wenhui Li1, Robert Mathes1, Emily McGibbon1, Natasha McIntosh1, Matthew Montesano1, Miranda S Moore1, Kenya Murray1, Stephanie Ngai1, Marc Paladini1, Rachel Paneth-Pollak1, Hilary Parton1, Eric Peterson1, Renee Pouchet1, Jyotsna Ramachandran1, Kathleen Reilly1, Jennifer Sanderson Slutsker1, Gretchen Van Wye1, Amanda Wahnich1, Ann Winters1, Marcelle Layton1, Lucretia Jones1, Vasudha Reddy1, Anne Fine1.
Abstract
New York City (NYC) was an epicenter of the coronavirus disease 2019 (COVID-19) outbreak in the United States during spring 2020 (1). During March-May 2020, approximately 203,000 laboratory-confirmed COVID-19 cases were reported to the NYC Department of Health and Mental Hygiene (DOHMH). To obtain more complete data, DOHMH used supplementary information sources and relied on direct data importation and matching of patient identifiers for data on hospitalization status, the occurrence of death, race/ethnicity, and presence of underlying medical conditions. The highest rates of cases, hospitalizations, and deaths were concentrated in communities of color, high-poverty areas, and among persons aged ≥75 years or with underlying conditions. The crude fatality rate was 9.2% overall and 32.1% among hospitalized patients. Using these data to prevent additional infections among NYC residents during subsequent waves of the pandemic, particularly among those at highest risk for hospitalization and death, is critical. Mitigating COVID-19 transmission among vulnerable groups at high risk for hospitalization and death is an urgent priority. Similar to NYC, other jurisdictions might find the use of supplementary information sources valuable in their efforts to prevent COVID-19 infections.Entities:
Mesh:
Year: 2020 PMID: 33211680 PMCID: PMC7676643 DOI: 10.15585/mmwr.mm6946a2
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
FIGURE 1Daily laboratory-confirmed COVID-19 cases, associated hospitalizations, and deaths — New York City, February 29–June 1, 2020
Abbreviation: COVID-19 = coronavirus disease 2019.
Characteristics of cumulative laboratory-confirmed COVID-19 cases, hospitalizations, and deaths among New York City residents reported to the New York City Department of Health and Mental Hygiene — New York City, February 29–June 1, 2020*
| Characteristic | Cases | Hospitalizations | Deaths | |||
|---|---|---|---|---|---|---|
| No. | Rate† | No. (row %) | Rate† | No. (row %) | Rate† | |
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| 0–17 | 6,016 | 348 | 508 (8.4) | 29 | 12 (0.2) | 1 |
| 18–44 | 74,654 | 2,215 | 8,474 (11.4) | 251 | 686 (0.9) | 20 |
| 45–64 | 73,998 | 7,007 | 18,219 (24.6) | 1,725 | 4,183 (5.7) | 396 |
| 65–74 | 25,182 | 2,518 | 12,009 (47.7) | 1,201 | 4,634 (18.4) | 463 |
| ≥75 | 23,942 | 3,425 | 15,001 (62.7) | 2,146 | 9,164 (38.3) | 1,311 |
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| Female | 98,992 | 2,060 | 23,612 (23.9) | 456 | 7,494 (7.6) | 136 |
| Male | 104,675 | 2,511 | 30,589 (29.2) | 744 | 11,183 (10.7) | 283 |
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| Hispanic/Latino | 36,498 | 1,514 | 15,288 (41.9) | 658 | 5,743 (15.7) | 260 |
| Black/African American | 32,458 | 1,590 | 14,676 (45.2) | 699 | 5,215 (16.1) | 248 |
| White | 31,029 | 988 | 11,057 (35.6) | 314 | 4,745 (15.3) | 123 |
| Asian/Pacific Islander | 8,122 | 601 | 3,441 (42.4) | 258 | 1,403 (17.3) | 111 |
| American Indian/Alaska Native | 196 | 973 | 33 (16.8) | 168 | 5 (2.6) | 27 |
| Other race/Missing | 95,489 | —§ | 9,716 (10.2) | —§ | 1,568 (1.6) | —§ |
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| Low | 33,114 | 1,787 | 7,498 (22.6) | 358 | 2,756 (8.3) | 125 |
| Medium | 79,327 | 2,169 | 20,907 (26.4) | 551 | 7,404 (9.3) | 193 |
| High | 48,998 | 2,315 | 15,034 (30.7) | 700 | 5,184 (10.6) | 241 |
| Very high | 36,642 | 2,706 | 10,341 (28.2) | 796 | 3,305 (9) | 268 |
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| Bronx | 46,085 | 3,157 | 12,076 (26.2) | 826 | 3,870 (8.4) | 268 |
| Brooklyn | 56,548 | 2,104 | 15,125 (26.7) | 556 | 5,563 (9.8) | 205 |
| Manhattan | 25,315 | 1,369 | 7,867 (31.1) | 408 | 2,476 (9.8) | 123 |
| Queens | 62,260 | 2,507 | 16,806 (27) | 637 | 5,882 (9.4) | 217 |
| Staten Island | 13,577 | 2,701 | 2,337 (17.2) | 423 | 888 (6.5) | 158 |
Abbreviation: COVID-19 = coronavirus disease 2019.
* Data missing on sex for 138 persons, on borough for nine persons, and on neighborhood poverty for 6,660 persons.
† Per 100,000 population; rates for sex, race/ethnicity, neighborhood poverty, and borough of residence were age-adjusted.
§ Rates not calculated because no population denominator.
¶ Neighborhood-level poverty was defined as the percentage of residents in a ZIP code with household incomes <100% of the federal poverty level, per the American Community Survey 2013–2017. Low poverty: <10%; medium poverty: 10%–19.9%; high poverty: 20%–29.9%; very high poverty: ≥30%.
FIGURE 2Cumulative crude rates of COVID-19 testing per 100,000 population, percentage of tests positive for SARS-CoV-2, and cumulative crude rates of COVID-19 cases per 100,000 population,* by modified ZIP code tabulation areas — New York City, February 29–June 1, 2020
Abbreviation: COVID-19 = coronavirus disease 2019.
* All data are displayed by four levels of natural breaks.