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Infect Dis Model . Social distancing and testing as optimal strategies against the spread of COVID-19 in the Rio Grande Valley of Texas

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  • Infect Dis Model . Social distancing and testing as optimal strategies against the spread of COVID-19 in the Rio Grande Valley of Texas


    Infect Dis Model


    . 2021;6:729-742.
    doi: 10.1016/j.idm.2021.04.004. Epub 2021 Apr 24.
    Social distancing and testing as optimal strategies against the spread of COVID-19 in the Rio Grande Valley of Texas


    Kristina P Vatcheva 1 , Josef Sifuentes 2 , Tamer Oraby 2 , Jose Campo Maldonado 3 , Timothy Huber 2 , MarĂ­a Cristina Villalobos 2



    Affiliations

    Abstract

    At the beginning of August 2020, the Rio Grande Valley (RGV) of Texas experienced a rapid increase of coronavirus disease 2019 (abbreviated as COVID-19) cases and deaths. This study aims to determine the optimal levels of effective social distancing and testing to slow the virus spread at the outset of the pandemic. We use an age-stratified eight compartment epidemiological model to depict COVID-19 transmission in the community and within households. With a simulated 120-day outbreak period data we obtain a post 180-days period optimal control strategy solution. Our results show that easing social distancing between adults by the end of the 180-day period requires very strict testing a month later and then daily testing rates of 5% followed by isolation of positive cases. Relaxing social distancing rates in adults from 50% to 25% requires both children and seniors to maintain social distancing rates of 50% for nearly the entire period while maintaining maximum testing rates of children and seniors for 150 of the 180 days considered in this model. Children have higher contact rates which leads to transmission based on our model, emphasizing the need for caution when considering school reopenings.

    Keywords: COVID-19; Mathematical modeling; Optimal control; Rio Grande Valley (RGV); School reopening; Testing and social distancing.

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