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DOI
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A statistical analysis for the epidemiological surveillance of COVID-19 in Chile
1Department of Statistics, Universidad de Concepción, 3349001 Concepción, Bio Bio, Chile
2School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, 2362807 Valparaíso, Chile
DOI: 10.22514/sv.2021.130 Vol.18,Issue 2,March 2022 pp.19-30
Submitted: 24 April 2021 Accepted: 10 June 2021
Published: 08 March 2022
*Corresponding Author(s): Víctor Leiva E-mail: victor.leiva@pucv.cl victorleivasanchez@gmail.com
The emergence of COVID-19 so far and in the immediate future has brought significant uncertainties that negatively impact institutions and individuals in developing and planning their activities worldwide. The uncertainty of the effectiveness of vaccines has forced the authorities to adopt different protocols, the most relevant of which is the isolation of people through quarantine to avoid contagion, drastically affecting our way of life. For this reason, it is crucial to evaluate the effectiveness of quarantines. In this paper, we analyze the spread of the disease in Chile according to the quarantines decreed by the sanitary authority. An inferential study is used to estimate the trend changes in COVID-19 cases and their basic and instantaneous reproduction numbers, which allows us to evaluate the decreed measures and establish vaccination policies. According to the data obtained until 03 March 2021 of confirmed COVID-19 cases disaggregated at a regional level in Chile, we observe a heterogeneous spread in most Chilean regions. When incorporating the dynamic quarantines decreed, effectiveness is detected in most regions, except in a few of them. Our results indicate that we are unable to identify the measures in the step-by-step protocols partly responsible for non-compliance with quarantines. However, our specific findings that can be extrapolated to daily practice and enlighten the ways of other countries are as follows. On the one hand, a measure that has been effective in curbing the spread of the disease is the strict early quarantine as detected in some Chilean regions. Therefore, indexes are needed to measure the mobility of citizens. On the other hand, as time passes without stopping infections, quarantines lose effectiveness even if the estimated instantaneous reproduction number is negligible and stable. In addition, other factors can cause this number to not be within the expected ranges, which must be further studied. Also, we have estimated the basic reproduction number whose value confirms the suitability of the pandemic declaration.
Basic and instantaneous reproduction numbers; Data science; PCR; R software; SARS-CoV-2; Time-series
Nixon Jerez-Lillo,Bernardo Lagos Álvarez,Joel Muñoz Gutiérrez,Jorge I. Figueroa-Zúñiga,Víctor Leiva. A statistical analysis for the epidemiological surveillance of COVID-19 in Chile. Signa Vitae. 2022. 18(2);19-30.
[1] Karunathilake K. Positive and negative impacts of COVID-19, an analysis with special reference to challenges on the supply chain in South Asian countries. Journal of Social and Economic Development. 2020. (in press)
[2] Liu Y, Mao C, Leiva V, Liu S, Silva W. Asymmetric autoregressive models: Statistical aspects and a financial application under COVID-19 pandemic. Journal of Applied Statistics. 2021; 1: 1–25.
[3] Chahuan-Jimenez K, Rubilar R, de la Fuente-Mella H, Leiva V. Breakpoint analysis for the COVID-19 pandemic and its effect on the stock markets. Entropy. 2021; 23: 100.
[4] de la Fuente-Mella H, Rubilar R, Chahuan-Jimenez K, Leiva V. Modeling COVID-19 cases statistically and evaluating their effect on the economy of the countries. Mathematics. 2021; 9: 1558
[5] Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020; 395: 497–506.
[6] Tang YW, Schmitz JE, Persing DH, Stratton CW. Laboratory diagnosis of COVID-19: Current issues and challenge. Journal of Clinical Microbiology. 2020; 58: 512–520.
[7] Bustos N, Tello M, Droppelmann G, Garcia N, Feijoo F, Leiva V. Machine learning techniques as an efficient alternative diagnostic tool for COVID-19 cases. Signa Vitae. 2021. (in press)
[8] Gibbons CL, Mangen MJ, Plass D, Havelaar AH, Brooke RJ, Kramarz P, et al. Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health. 2014; 14: 1–7.
[9] Patiño-Lugo DF, Vélez M, Velásquez Salazar P, Vera-Giraldo C, Vélez V, Marín I, et al. Non-pharmaceutical interventions for containment, mitigation and suppression of COVID-19. Colombia Medica. 2020; 51: 42–66.
[10] Bautista LA, Conesa MG, Caravaca GR, Balbas BB. COVID-19 effective reproduction ratio determination: An application, and analysis of issues and influential factors. 2020. (in press)
[11] Rovetta A, Bhagavathula AS, Castaldo L. Modeling the Epidemiological Trend and Behavior of COVID-19 in Italy. Cureus. 2020; 12: e9884.
[12] Fierro R, Leiva V, Balakrishnan N. Statistical Inference on a Stochastic Epidemic Model. Communications in Statistics. 2015; 44: 2297–2314.
[13] Nouvellet P, Cori A, Garske T, Blake IM, Dorigatti I, Hinsley W, et al. A simple approach to measure transmissibility and forecast incidence. Epidemics. 2018; 22: 29–35.
[14] Shumway RH, Stoffer DS. Time series analysis and its applications: with R examples. New York: Springer. 2017.
[15] Zeileis A, Kleiber C, Krämer W, Hornik K. Testing and dating of structural changes in practice. Computational Statistics & Data Analysis. 2003; 44: 109–123.
[16] Bai J, Perron P. Estimating and Testing Linear Models with Multiple Structural Changes. Econometrica. 1998; 66: 47–78.
[17] Bai J, Perron P. Computation and analysis of multiple structural change models. Journal of Applied Econometrics. 2003; 18: 1–22.
[18] Fraser C. Estimating individual and household reproduction numbers in an emerging epidemic. PLoS ONE. 2007; 2: e758.
[19] Cori A, Ferguson NM, Fraser C, Cauchemez S. A new framework and software to estimate time-varying reproduction numbers during epidemics. American Journal of Epidemiology. 2013; 178: 1505–1512.
[20] Hu FC. The estimated time-varying reproduction numbers during the ongoing pandemic of the Coronavirus disease 2019 (COVID-19) in 12 selected countries outside China. 2020. Available at: https://www.medrxiv.org/content/10.1101/2020.05.10.20097154v1 (Accessed: 24 May 2021).
[21] Nishiura H, Linton NM, Akhmetzhanov AR. Serial interval of novel coronavirus (COVID-19) infections. International Journal of Infectious Diseases. 2020; 93: 284–286.
[22] Thibaut J, Anne C, Pierre N, Janetta S. EarlyR: Estimation of transmissibility in the early stages of a disease outbreak. 2013. Available at: https://CRAN.R-project.org/package=earlyR (Accessed:19 June 2021).
[23] de Castro F. Modelling of the second (and subsequent) waves of the coro-navirus epidemic. Spain and Germany as case studies. 2020. Available at: https://doi.org/10.21203/rs.3.rs-49249/v1(Accessed: 19 June 2021).
[24] Nouvellet P, Bhatia S, Cori A, Ainslie KEC, Baguelin M, Bhatt S, et al. Reduction in mobility and COVID-19 transmission. Nature Communications. 2021; 12: 1–9.
[25] Martin-Barreiro C, Ramirez-Figueroa JA, Cabezas X, Leiva V, Galindo-Villardón MP. Disjoint and functional principal component analysis for infected cases and deaths due to COVID-19 in South American countries with sensor-related data. Sensors. 2021; 21: 4094.
[26] Hortaçsu A, Liu J, Schwieg T. Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19. Journal of Econometrics. 2021; 220: 106–129.
[27] Diekmann O, Heesterbeek JA, Metz JA. On the definition and the computation of the basic reproduction ratio Ro in models for infectious diseases in heterogeneous populations. Journal of Mathematical Biology. 1990; 28: 365–382.
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