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Analytics Saves Lives During the COVID-19 Crisis in Chile

Author

Listed:
  • Leonardo J. Basso

    (Departmento de Ingeniería Civil, Universidad de Chile, Santiago 8370456, Chile; Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile)

  • Marcel Goic

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile; Departmento de Ingeniería Civil Industrial, Universidad de Chile, Santiago 8370456, Chile)

  • Marcelo Olivares

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile; Departmento de Ingeniería Civil Industrial, Universidad de Chile, Santiago 8370456, Chile)

  • Denis Sauré

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile; Departmento de Ingeniería Civil Industrial, Universidad de Chile, Santiago 8370456, Chile)

  • Charles Thraves

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile; Departmento de Ingeniería Civil Industrial, Universidad de Chile, Santiago 8370456, Chile)

  • Aldo Carranza

    (Graduate School of Business, Stanford University, Stanford, California 94305)

  • Gabriel Y. Weintraub

    (Graduate School of Business, Stanford University, Stanford, California 94305)

  • Julio Covarrubia

    (ENTEL Ocean, Empresa Nacional de Telecomunicaciones, Santiago 8340516, Chile)

  • Cristian Escobedo

    (ENTEL Ocean, Empresa Nacional de Telecomunicaciones, Santiago 8340516, Chile)

  • Natalia Jara

    (ENTEL Ocean, Empresa Nacional de Telecomunicaciones, Santiago 8340516, Chile)

  • Antonio Moreno

    (ENTEL Ocean, Empresa Nacional de Telecomunicaciones, Santiago 8340516, Chile)

  • Demian Arancibia

    (Gobierno de Chile, Santiago 8320000, Chile)

  • Manuel Fuenzalida

    (Gobierno de Chile, Santiago 8320000, Chile)

  • Juan Pablo Uribe

    (Gobierno de Chile, Santiago 8320000, Chile)

  • Felipe Zúñiga

    (Gobierno de Chile, Santiago 8320000, Chile)

  • Marcela Zúñiga

    (Gobierno de Chile, Santiago 8320000, Chile)

  • Miguel O’Ryan

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile; Institute of Biomedical Sciences, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile)

  • Emilio Santelices

    (Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile)

  • Juan Pablo Torres

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile; Department of Pediatrics, Hospital Luis Calvo Mackenna, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile)

  • Magdalena Badal

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile)

  • Mirko Bozanic

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile)

  • Sebastián Cancino-Espinoza

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile)

  • Eduardo Lara

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile)

  • Ignasi Neira

    (Instituto Sistemas Complejos de Ingeniería (ISCI), Santiago 8370398, Chile)

Abstract

During the COVID-19 crisis, the Chilean Ministry of Health and the Ministry of Sciences, Technology, Knowledge and Innovation partnered with the Instituto Sistemas Complejos de Ingeniería (ISCI) and the telecommunications company ENTEL, to develop innovative methodologies and tools that placed operations research (OR) and analytics at the forefront of the battle against the pandemic. These innovations have been used in key decision aspects that helped shape a comprehensive strategy against the virus, including tools that (1) provided data on the actual effects of lockdowns in different municipalities and over time; (2) helped allocate limited intensive care unit (ICU) capacity; (3) significantly increased the testing capacity and provided on-the-ground strategies for active screening of asymptomatic cases; and (4) implemented a nationwide serology surveillance program that significantly influenced Chile’s decisions regarding vaccine booster doses and that also provided information of global relevance. Significant challenges during the execution of the project included the coordination of large teams of engineers, data scientists, and healthcare professionals in the field; the effective communication of information to the population; and the handling and use of sensitive data. The initiatives generated significant press coverage and, by providing scientific evidence supporting the decision making behind the Chilean strategy to address the pandemic, they helped provide transparency and objectivity to decision makers and the general population. According to highly conservative estimates, the number of lives saved by all the initiatives combined is close to 3,000, equivalent to more than 5% of the total death toll in Chile associated with the pandemic until January 2022. The saved resources associated with testing, ICU beds, and working days amount to more than 300 million USD.

Suggested Citation

  • Leonardo J. Basso & Marcel Goic & Marcelo Olivares & Denis Sauré & Charles Thraves & Aldo Carranza & Gabriel Y. Weintraub & Julio Covarrubia & Cristian Escobedo & Natalia Jara & Antonio Moreno & Demia, 2023. "Analytics Saves Lives During the COVID-19 Crisis in Chile," Interfaces, INFORMS, vol. 53(1), pages 9-31, January.
  • Handle: RePEc:inm:orinte:v:53:y:2023:i:1:p:9-31
    DOI: 10.1287/inte.2022.1149
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    References listed on IDEAS

    as
    1. Zhang, G. Peter & Qi, Min, 2005. "Neural network forecasting for seasonal and trend time series," European Journal of Operational Research, Elsevier, vol. 160(2), pages 501-514, January.
    2. Montgomery, Jacob M. & Hollenbach, Florian M. & Ward, Michael D., 2015. "Calibrating ensemble forecasting models with sparse data in the social sciences," International Journal of Forecasting, Elsevier, vol. 31(3), pages 930-942.
    3. Marcel Goic & Mirko S Bozanic-Leal & Magdalena Badal & Leonardo J Basso, 2021. "COVID-19: Short-term forecast of ICU beds in times of crisis," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-24, January.
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    Cited by:

    1. Gustavo Quinderé Saraiva, 2023. "Pool testing with dilution effects and heterogeneous priors," Health Care Management Science, Springer, vol. 26(4), pages 651-672, December.

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