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Datos territoriales para la gestión de la pandemia: el caso del COVID-19 en Bolivia

Author

Listed:
  • Acuña, José
  • Andersen, Lykke E.
  • Gonzáles, Luis

Abstract

Este estudio presenta un índice de vulnerabilidad con el objetivo de caracterizar a los municipios con respecto a las condiciones estructurales y capacidad de respuesta sanitaria que tienen para afrontar la pandemia. Debido al nivel de desagregación del índice, se convierte en una fuente de información relevante, en el sentido de que permite abordar la problemática considerando el componente geográfico/espacial. Este componente es relevante al momento del diseño de políticas focalizadas, que permitan gestionar la pandemia reduciendo los niveles de contagio/ muertes y a su vez, minimizando los costos económicos inducidos por la pandemia. El índice se construye en base a tres dimensiones principales i) Riesgo de Propagación, ii) Situación subyacente de salud y, iii) Capacidad de respuesta. Entre los principales resultados se destaca el hecho de que el 60% de los municipios pertenecientes al decil más alto de vulnerabilidad son los más grandes entre capitales y municipios altamente poblados.

Suggested Citation

  • Acuña, José & Andersen, Lykke E. & Gonzáles, Luis, 2020. "Datos territoriales para la gestión de la pandemia: el caso del COVID-19 en Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 34, pages 7-33, November.
    • Handle: RePEc:ris:revlde:1983
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    References listed on IDEAS

    as
    1. David Argente & Chang-Tai Hsieh & Munseob Lee, 2022. "The Cost of Privacy: Welfare Effects of the Disclosure of COVID-19 Cases," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 176-186, March.
    2. John R. Birge & Ozan Candogan & Yiding Feng, 2022. "Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures," Management Science, INFORMS, vol. 68(5), pages 3175-3195, May.
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    More about this item

    Keywords

    COVID-19; vulnerabilidad; municipalidades.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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