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Global Health Econ Sustain                                                    Implication of close contact



              Our findings have important implications for policy   epidemic? Lancet, 395(10228): 931-934.
            and practices in combating epidemics. We highlight the      https://doi.org/10.1016/S0140-6736(20)30567-5
            effectiveness of contact tracing and testing in reducing the
            number of infected individuals and controlling outbreaks.   Bagal, D.K., Rath, A., Barua, A., & Patnaik, D. (2020). Estimating
                                                                  the parameters of susceptible-infected-recovered model of
            However, it is important to note that successfully    COVID-19 cases in India during lockdown periods. Chaos,
            eliminating an outbreak requires sustaining and substantial   Solitons and Fractals, 140: 110154.
            efforts over a prolonged period (reducing the QSS behavior
            to a negligible level). Other measures, such as quarantine      https://doi.org/10.1016/j.chaos.2020.110154
            and social distancing, come with a high economic cost.   Choi, S., & Ki, M. (2020). Analyzing the effects of social distancing
            Therefore, public health policymakers should prioritize the   on the COVID-19 pandemic in Korea using mathematical
            development and implementation of mixed strategies that   modeling. Epidemiology and Health, 42: e2020064.
            integrate contact tracing, testing, quarantine protocols,      https://doi.org/10.4178/epih.e2020064
            and social distancing measures. Such a multi-pronged   El Fatini, M., El Khalifi, M., Gerlach, R., & Pettersson, R. (2021).
            approach could mitigate the impact of epidemics at a   Bayesian forecast of the basic reproduction number during
            minimum cost.                                         the Covid-19 epidemic in Morocco and Italy. Mathematical
            Acknowledgments                                       Population Studies, 28(4): 228-242.
                                                                  https://doi.org/10.1080/08898480.2021.1941661
            None.
                                                               Esakandari,  H.,  Nabi-Afjadi,  M.,  Fakkari-Afjadi,  J.,
            Funding                                               Farahmandian, N., Miresmaeili, S.M., & Bahreini, E. (2020).
                                                                  A  comprehensive review of COVID-19 characteristics.
            This work was partially supported by the grants PIP 112-  Biological Procedures Online, 22(1): 19.
            2015 01- 00644CO and SeCYT-UNC 05/B457.
                                                                  https://doi.org/10.1186/s12575-020-00128-2
            Conflict of interest                               Ferguson, N.M., Laydon, D., Nedjati-Gilani, G., Imai, N.,
                                                                  Ainsile, K., Baguelin, B.,  et al. (2020). Impact of Non-
            The authors declare that they have no competing interests.  pharmaceutical Interventions (NPIs) to Reduce COVID19
            Author contributions                                  Mortality and Healthcare Demand. London: Imperial
                                                                  College London.
            Conceptualization: Gustavo Javier Sibona           He, X., Lau, E.H.Y., Wu, P., Deng, X., Wang, J., Hao, X., et al. (2020).
            Investigation:  Shirlene Patricia Vega-Royero, Gustavo   Temporal dynamics in viral shedding and transmissibility of
               Javier Sibona                                      COVID-19. Nature Medicine, 26(5): 672-675.
            Writing – original draft:  Shirlene Patricia Vega-Royero,      https://doi.org/10.1038/s41591-020-0869-5
               Gustavo Javier Sibona
            Writing – review and drafting: Gustavo Javier Sibona  Investopedia. (2022). A  Historical Timeline of COVID-19 in
                                                                  New  York City. Available from: https://www.investopedia.
            Ethics approval and consent to participate            com/historical-timeline-of-covid-19-in-new-york-
                                                                  city-5071986 [Last accessed on 2022 Feb 02].
            Not applicable.
                                                               Kim, S., Seo, Y.B., & Jung, E. (2020). Prediction of
            Consent for publication                               COVID-19 transmission dynamics using a mathematical
                                                                  model considering behavior changes in Korea. Epidemiology
            Not applicable.                                       and Health, 42: e2020026.

            Availability of data                                  https://doi.org/10.4178/epih.e2020026
                                                               Korea  Centers  for  Disease  Control  and  Prevention.  (2022).
            All data used in this work are presented in the text.
                                                                  Coronavirus disease-19, Republic of Korea. Available from:
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            Volume 1 Issue 1 (2023)                         10                       https://doi.org/10.36922/ghes.0873
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