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Time-varying Reproduction Numbers of COVID-19 in Georgia, USA, March 2, 2020 to November 20, 2020.
Muniz-Rodriguez, Kamalich; Chowell, Gerardo; Schwind, Jessica S; Ford, Randall; Ofori, Sylvia K; Ogwara, Chigozie A; Davies, Margaret R; Jacobs, Terrence; Cheung, Chi-Hin; Cowan, Logan T; Hansen, Andrew R; Chun-Hai Fung, Isaac.
  • Muniz-Rodriguez K; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Chowell G; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA.
  • Schwind JS; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Ford R; Department of Community Health and Health Policy, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Ofori SK; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Ogwara CA; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Davies MR; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Jacobs T; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Cheung CH; Independent researcher, Hong Kong Special Administrative Region.
  • Cowan LT; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Hansen AR; Department of Community Health and Health Policy, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
  • Chun-Hai Fung I; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
Perm J ; 252021 05.
Article in English | MEDLINE | ID: covidwho-1222295
ABSTRACT

BACKGROUND:

In 2020, Severe Acute Respiratory Syndrome Coronavirus 2 impacted Georgia, USA. Georgia announced a state-wide shelter-in-place on April 2 and partially lifted restrictions on April 27. We estimated the time-varying reproduction numbers (Rt) of COVID-19 in Georgia, Metro Atlanta, and Dougherty County and environs from March 2, 2020, to November 20, 2020.

METHODS:

We analyzed the daily incidence of confirmed COVID-19 cases in Georgia, Metro Atlanta, and Dougherty County and its surrounding counties, and estimated Rt using the R package EpiEstim. We used a 9-day correction for the date of report to analyze the data by assumed date of infection.

RESULTS:

The median Rt estimate in Georgia dropped from between 2 and 4 in mid-March to < 2 in late March to around 1 from mid-April to November. Regarding Metro Atlanta, Rt fluctuated above 1.5 in March and around 1 since April. In Dougherty County, the median Rt declined from around 2 in late March to 0.32 on April 26. Then, Rt fluctuated around 1 in May through November. Counties surrounding Dougherty County registered an increase in Rt estimates days after a superspreading event occurred in the area.

CONCLUSIONS:

In Spring 2020, Severe Acute Respiratory Syndrome Coronavirus 2 transmission in Georgia declined likely because of social distancing measures. However, because restrictions were relaxed in late April and elections were conducted in November, community transmission continued, with Rt fluctuating around 1 across Georgia, Metro Atlanta, and Dougherty County as of November 2020. The superspreading event in Dougherty County affected surrounding areas, indicating the possibility of local transmission in neighboring counties.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Year: 2021 Document Type: Article Affiliation country: TPP

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Year: 2021 Document Type: Article Affiliation country: TPP