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Impact of public health policy and mobility change on transmission potential of severe acute respiratory syndrome coronavirus 2 in Rhode Island, March 2020 - November 2021.
Ogwara, Chigozie A; Ronberg, Jennifer W; Cox, Sierra M; Wagner, Briana M; Stotts, Jacqueline W; Chowell, Gerardo; Spaulding, Anne C; Fung, Isaac Chun-Hai.
  • Ogwara CA; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
  • Ronberg JW; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
  • Cox SM; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
  • Wagner BM; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
  • Stotts JW; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
  • Chowell G; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
  • Spaulding AC; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
  • Fung IC; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
Pathog Glob Health ; : 1-15, 2023 Apr 19.
Article in English | MEDLINE | ID: covidwho-2301143
ABSTRACT
To study the SARS-CoV-2 transmission potential in Rhode Island (RI) and its association with policy changes and mobility changes, the time-varying reproduction number, Rt, was estimated. The daily incident case counts (16 March 2020, through 30 November 2021) were bootstrapped within a 15-day sliding window and multiplied by Poisson-distributed multipliers (λ = 4, sensitivity

analysis:

11) to generate 1000 estimated infection counts, to which EpiEstim was applied to generate Rt time series. The median Rt percentage change when policies changed was estimated. The time lag correlations were assessed between the 7-day moving average of the relative changes in Google mobility data in the first 90 days, and Rt and estimated infection count, respectively. There were three major pandemic waves in RI in 2020-2021 spring 2020, winter 2020-2021 and fall-winter 2021. The median Rt fluctuated within the range of 0.5-2 from April 2020 to November 2021. Mask mandate (18 April 2020) was associated with a decrease in Rt (-25.99%, 95% CrI -37.42%, -14.30%). Termination of mask mandates on 6 July 2021 was associated with an increase in Rt (36.74%, 95% CrI 27.20%, 49.13%). Positive correlations were found between changes in grocery and pharmacy, Rt retail and recreation, transit, and workplace visits, for both Rt and estimated infection count, respectively. Negative correlations were found between changes in residential area visits for both Rt and estimated infection count, respectively. Public health policies enacted in RI were associated with changes in the pandemic trajectory. This ecological study provides further evidence of how non-pharmaceutical interventions and vaccination slowed COVID-19 transmission in RI.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Vaccines Language: English Journal: Pathog Glob Health Year: 2023 Document Type: Article Affiliation country: 20477724.2023.2201984

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Vaccines Language: English Journal: Pathog Glob Health Year: 2023 Document Type: Article Affiliation country: 20477724.2023.2201984