National Health Systems and COVID-19 Death Toll Doubling Time

被引:14
作者
Alfaro, Miguel [1 ]
Munoz-Godoy, Diego [2 ]
Vargas, Manuel [1 ]
Fuertes, Guillermo [1 ,3 ]
Duran, Claudia [4 ]
Ternero, Rodrigo [1 ,5 ]
Sabattin, Jorge [6 ]
Gutierrez, Sebastian [7 ,8 ]
Karstegl, Natalia [2 ]
机构
[1] Univ Santiago Chile, Dept Ingn Ind, Santiago, Chile
[2] Univ San Sebastian, Fac Ingn & Tecnol, Santiago, Chile
[3] Univ Bernardo OHiggins, Fac Ingn Ciencia & Tecnol, Santiago, Chile
[4] Univ Tecnol Metropolitana, Dept Ind, Fac Ingn, Santiago, Chile
[5] Univ Amer, Escuela Construcc, Santiago, Chile
[6] Univ Andres Bello, Fac Ingn, Santiago, Chile
[7] Univ Cent Chile, Fac Econ Gobierno & Comunicac, Santiago, Chile
[8] Univ Mayor, Fac Ciencias, Santiago, Chile
关键词
COVID-19; coronavirus; national health systems; death rate; non-parametric test; CORONAVIRUS DISEASE 2019; QUARANTINE;
D O I
10.3389/fpubh.2021.669038
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Coronavirus disease 2019 (COVID-19) has placed stress on all National Health Systems (NHSs) worldwide. Recent studies on the disease have evaluated different variables, namely, quarantine models, mitigation efforts, damage to mental health, mortality of the population with chronic diseases, diagnosis, use of masks and social distancing, and mortality based on age. This study focused on the four NHSs recognized by the WHO. These systems are as follows: (1) The Beveridge model, (2) the Bismarck model, (3) the National Health Insurance (NHI) model, and (4) the "Out-of-Pocket " model. The study analyzes the response of the health systems to the pandemic by comparing the time in days required to double the number of disease-related deaths. The statistical analysis was limited to 56 countries representing 70% of the global population. Each country was grouped into the health system defined by the WHO. The study compared the median death toll DT, between health systems using Mood's median test method. The results show high variability of the temporal trends in each group; none of the health systems for the three analyzed periods maintain stable interquartile ranges (IQRs). Nevertheless, the results obtained show similar medians between the study groups. The COVID-19 pandemic saturates health systems regardless of their management structures, and the result measured with the time for doubling death rate variable is similar among the four NHSs.
引用
收藏
页数:8
相关论文
共 34 条
  • [1] A rapid screening method for testing the efficiency of masks in breaking down aerosols
    Amendola, Luca
    Saurini, Maria Teresa
    Di Girolamo, Francesco
    Arduini, Fabiana
    [J]. MICROCHEMICAL JOURNAL, 2020, 157
  • [2] The psychological impact of quarantine and how to reduce it: rapid review of the evidence
    Brooks, Samantha K.
    Webster, Rebecca K.
    Smith, Louise E.
    Woodland, Lisa
    Wessely, Simon
    Greenberg, Neil
    Rubin, Gideon James
    [J]. LANCET, 2020, 395 (10227) : 912 - 920
  • [3] The role of community-wide wearing of face mask for control of coronavirus disease 2019 (COVID-19) epidemic due to SARS-CoV-2
    Cheng, Vincent Chi-Chung
    Wong, Shuk-Ching
    Chuang, Vivien Wai-Man
    So, Simon Yung-Chun
    Chen, Jonathan Hon-Kwan
    Sridhar, Siddharth
    To, Kelvin Kai-Wang
    Chan, Jasper Fuk-Woo
    Hung, Ivan Fan-Ngai
    Ho, Pak-Leung
    Yuen, Kwok-Yung
    [J]. JOURNAL OF INFECTION, 2020, 81 (01) : 107 - 114
  • [4] National Health Insurance: A conceptual framework from conflicting typologies
    Cuadrado, Cristobal
    Crispi, Francisca
    Libuy, Matias
    Marchildon, Gregory
    Cid, Camilo
    [J]. HEALTH POLICY, 2019, 123 (07) : 621 - 629
  • [5] A Social Rank Explanation of How Money Influences Health
    Daly, Michael
    Boyce, Christopher
    Wood, Alex
    [J]. HEALTH PSYCHOLOGY, 2015, 34 (03) : 222 - 230
  • [6] The need for fully bio-based facemasks to counter coronavirus outbreaks: A perspective
    Das, Oisik
    Neisiany, Rasoul Esmaeely
    Capezza, Antonio Jose
    Hedenqvist, Mikael S.
    Forsth, Michael
    Xu, Qiang
    Jiang, Lin
    Ji, Dongxiao
    Ramakrishna, Seeram
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 736
  • [7] Effects of air pollutants on the transmission and severity of respiratory viral infections
    Domingo, Jose L.
    Rovira, Joaquim
    [J]. ENVIRONMENTAL RESEARCH, 2020, 187 (187)
  • [8] Psychological interventions for people affected by the COVID-19 epidemic
    Duan, Li
    Zhu, Gang
    [J]. LANCET PSYCHIATRY, 2020, 7 (04): : 300 - 302
  • [9] Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
    Fong, Simon James
    Li, Gloria
    Dey, Nilanjan
    Crespo, Ruben Gonzalez
    Herrera-Viedma, Enrique
    [J]. APPLIED SOFT COMPUTING, 2020, 93
  • [10] New panel results on cointegration of international health expenditure and GDP
    Gerdtham, UG
    Löthgren, M
    [J]. APPLIED ECONOMICS, 2002, 34 (13) : 1679 - 1686