Dependence of COVID-19 Policies on End-of-Year Holiday Contacts in Mexico City Metropolitan Area: A Modeling Study

被引:4
作者
Alarid-Escudero, Fernando [1 ]
Gracia, Valeria [2 ]
Luviano, Andrea [2 ]
Roa, Jorge [2 ]
Peralta, Yadira [3 ]
Reitsma, Marissa B. [4 ,5 ,6 ]
Claypool, Anneke L. [7 ]
Salomon, Joshua A. [4 ,5 ,6 ]
Studdert, David M. [8 ,9 ]
Andrews, Jason R. [10 ]
Goldhaber-Fiebert, Jeremy D. [4 ,5 ,6 ]
机构
[1] Ctr Res & Teaching Econ CIDE, Div Publ Adm, Circuito Tecnopolo Norte 117, Aguascalientes 20313, Aguascalientes, Mexico
[2] Ctr Res & Teaching Econ CIDE, Aguascalientes, Aguascalientes, Mexico
[3] Ctr Res & Teaching Econ CIDE, Div Econ, Aguascalientes, Aguascalientes, Mexico
[4] Stanford Univ, Ctr Hlth Policy, Stanford, CA USA
[5] Stanford Univ, Ctr Primary Care & Outcomes Res, Dept Hlth Policy, Stanford, CA 94305 USA
[6] Stanford Univ, Freeman Spogli Inst, Stanford, CA 94305 USA
[7] Stanford Univ, Dept Management Sci & Engn, Stanford, CA 94305 USA
[8] Stanford Univ, Stanford Law Sch, Stanford, CA 94305 USA
[9] Stanford Univ, Stanford Hlth Policy, Stanford, CA 94305 USA
[10] Stanford Univ, Div Infect Dis & Geog Med, Sch Med, Stanford, CA USA
关键词
COVID-19; dynamic transmission model; hospital capacity; Mexico; non-pharmaceutical interventions;
D O I
10.1177/23814683211049249
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background. Mexico City Metropolitan Area (MCMA) has the largest number of COVID-19 (coronavirus disease 2019) cases in Mexico and is at risk of exceeding its hospital capacity in early 2021. Methods. We used the Stanford-CIDE Coronavirus Simulation Model (SC-COSMO), a dynamic transmission model of COVID-19, to evaluate the effect of policies considering increased contacts during the end-of-year holidays, intensification of physical distancing, and school reopening on projected confirmed cases and deaths, hospital demand, and hospital capacity exceedance. Model parameters were derived from primary data, literature, and calibrated. Results. Following high levels of holiday contacts even with no in-person schooling, MCMA will have 0.9 million (95% prediction interval 0.3-1.6) additional COVID-19 cases between December 7, 2020, and March 7, 2021, and hospitalizations will peak at 26,000 (8,300-54,500) on January 25, 2021, with a 97% chance of exceeding COVID-19-specific capacity (9,667 beds). If MCMA were to control holiday contacts, the city could reopen in-person schools, provided they increase physical distancing with 0.5 million (0.2-0.9) additional cases and hospitalizations peaking at 12,000 (3,700-27,000) on January 19, 2021 (60% chance of exceedance). Conclusion. MCMA must increase COVID-19 hospital capacity under all scenarios considered. MCMA's ability to reopen schools in early 2021 depends on sustaining physical distancing and on controlling contacts during the end-of-year holiday.
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页数:14
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共 31 条
  • [11] Instituto Nacional de Estadistica y Geografia, 2019, ENC NACL DISP US TEC
  • [12] Instituto Nacional de Estadistica y Geografia, DEN POBL
  • [13] An Overview of R in Health Decision Sciences
    Jalal, Hawre
    Pechlivanoglou, Petros
    Krijkamp, Eline
    Alarid-Escudero, Fernando
    Enns, Eva
    Hunink, M. G. Myriam
    [J]. MEDICAL DECISION MAKING, 2017, 37 (07) : 735 - 746
  • [14] The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application
    Lauer, Stephen A.
    Grantz, Kyra H.
    Bi, Qifang
    Jones, Forrest K.
    Zheng, Qulu
    Meredith, Hannah R.
    Azman, Andrew S.
    Reich, Nicholas G.
    Lessler, Justin
    [J]. ANNALS OF INTERNAL MEDICINE, 2020, 172 (09) : 577 - +
  • [15] Superspreading and the effect of individual variation on disease emergence
    Lloyd-Smith, JO
    Schreiber, SJ
    Kopp, PE
    Getz, WM
    [J]. NATURE, 2005, 438 (7066) : 355 - 359
  • [16] Children are unlikely to be the main drivers of the COVID-19 pandemic - A systematic review
    Ludvigsson, Jonas F.
    [J]. ACTA PAEDIATRICA, 2020, 109 (08) : 1525 - 1530
  • [17] Transmission of SARS-CoV-2 in Australian educational settings: a prospective cohort study
    Macartney, Kristine
    Quinn, Helen E.
    Pillsbury, Alexis J.
    Koirala, Archana
    Deng, Lucy
    Winkler, Noni
    Katelaris, Anthea L.
    O'Sullivan, Matthew V. N.
    Dalton, Craig
    Wood, Nicholas
    [J]. LANCET CHILD & ADOLESCENT HEALTH, 2020, 4 (11) : 807 - 816
  • [18] Morales A., PIDE AMLO POBLACION
  • [19] COVID-19 infectivity profile correction
    Peter, Ashcroft
    Huisman, Jana S.
    Sonja, Lehtinen
    Bouman, Judith A.
    Althaus, Christian L.
    Regoes, Roland R.
    Sebastian, Bonhoeffer
    [J]. SWISS MEDICAL WEEKLY, 2020, 150
  • [20] Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling
    Raftery, Adrian E.
    Bao, Le
    [J]. BIOMETRICS, 2010, 66 (04) : 1162 - 1173