Concentric regulatory zones failed to halt surging Covid-19
Brooklyn 2020
Bibliographic Data
| ID | 22073827 |
|---|---|
| Authors | Jeffrey E Harris (0000-0002-9749-3205, Massachusetts Institute of Technology, corresponding author) |
| Year | 2022 |
| Volume | 10 |
| Pages | 970363-970363 |
| Publication date | 2022-12-07 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2022.970363 |
| PMID | 36568788 |
| OpenAlex | W4311709014 |
| Language | EN |
| References cited | 28 |
Methods: We relied on reports of confirmed case incidence and test positivity, along with data on the movements of devices with location-tracking software, to evaluate a novel scheme of three concentric regulatory zones introduced by then New York Governor Cuomo to address an outbreak of COVID-19 in South Brooklyn in the fall of 2020. The regulatory scheme imposed differential controls on access to eating places, schools, houses of worship, large gatherings and other businesses within the three zones, but without restrictions on mobility. Results: Within the central red zone, COVID-19 incidence temporarily declined from 131.2 per 100,000 population during the week ending October 3 to 62.5 per 100,000 by the week ending October 31, but then rebounded to 153.6 per 100,000 by the week ending November 28. Within the intermediate orange and peripheral yellow zones combined, incidence steadily rose from 28.8 per 100,000 during the week ending October 3 to 109.9 per 100,000 by the week ending November 28. Data on device visits to pairs of eating establishments straddling the red-orange boundary confirmed compliance with access controls. More general analysis of device movements showed stable patterns of movement between and beyond zones unaffected by the Governor's orders. A geospatial regression model of COVID-19 incidence in relation to device movements across zip code tabulation areas identified a cluster of five high-movement ZCTAs with estimated reproduction number 1.91 (95% confidence interval, 1.27-2.55). Discussion: In the highly populous area of South Brooklyn, controls on access alone, without restrictions on movement, were inadequate to halt an advancing COVID-19 outbreak
Cartography · Confidence interval · Geography · Geometry · Outbreak · Population · Rate ratio · Sociology · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Infection Control and Ventilation · Mathematics · Medicine · Internal Medicine · Virology
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| Highly cited | No |
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