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COVID-19 Surveillance Updates in US Metropolitan Areas: Dynamic Panel Data Modeling.
Oehmke, Theresa B; Moss, Charles B; Oehmke, James F.
  • Oehmke TB; Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, United States.
  • Moss CB; Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, United States.
  • Oehmke JF; Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
JMIR Public Health Surveill ; 8(2): e28737, 2022 02 24.
Article in English | MEDLINE | ID: covidwho-2197918
ABSTRACT

BACKGROUND:

Despite the availability of vaccines, the US incidence of new COVID-19 cases per day nearly doubled from the beginning of July to the end of August 2021, fueled largely by the rapid spread of the Delta variant. While the "Delta wave" appears to have peaked nationally, some states and municipalities continue to see elevated numbers of new cases. Vigilant surveillance including at a metropolitan level can help identify any reignition and validate continued and strong public health policy responses in problem localities.

OBJECTIVE:

This surveillance report aimed to provide up-to-date information for the 25 largest US metropolitan areas about the rapidity of descent in the number of new cases following the Delta wave peak, as well as any potential reignition of the pandemic associated with declining vaccine effectiveness over time, new variants, or other factors.

METHODS:

COVID-19 pandemic dynamics for the 25 largest US metropolitan areas were analyzed through September 19, 2021, using novel metrics of speed, acceleration, jerk, and 7-day persistence, calculated from the observed data on the cumulative number of cases as reported by USAFacts. Statistical analysis was conducted using dynamic panel data models estimated with the Arellano-Bond regression techniques. The results are presented in tabular and graphic forms for visual interpretation.

RESULTS:

On average, speed in the 25 largest US metropolitan areas declined from 34 new cases per day per 100,000 population, during the week ending August 15, 2021, to 29 new cases per day per 100,000 population, during the week ending September 19, 2021. This average masks important differences across metropolitan areas. For example, Miami's speed decreased from 105 for the week ending August 15, 2021, to 40 for the week ending September 19, 2021. Los Angeles, San Francisco, Riverside, and San Diego had decreasing speed over the sample period and ended with single-digit speeds for the week ending September 19, 2021. However, Boston, Washington DC, Detroit, Minneapolis, Denver, and Charlotte all had their highest speed of the sample during the week ending September 19, 2021. These cities, as well as Houston and Baltimore, had positive acceleration for the week ending September 19, 2021.

CONCLUSIONS:

There is great variation in epidemiological curves across US metropolitan areas, including increasing numbers of new cases in 8 of the largest 25 metropolitan areas for the week ending September 19, 2021. These trends, including the possibility of waning vaccine effectiveness and the emergence of resistant variants, strongly indicate the need for continued surveillance and perhaps a return to more restrictive public health guidelines for some areas.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2022 Document Type: Article Affiliation country: 28737

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: JMIR Public Health Surveill Year: 2022 Document Type: Article Affiliation country: 28737