COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals

被引:45
|
作者
Veiga e Silva, Lena [1 ,2 ]
Harb, Maria Da Penha de Andrade Abi [1 ]
Santos, Aurea Milene Teixeira Barbosa dos [1 ]
Teixeira, Carlos Andre de Mattos [1 ]
Gomes, Vitor Hugo Macedo [1 ]
Cardoso, Evelin Helena Silva [1 ]
Silva, Marcelino S. da [1 ]
Vijaykumar, N. L. [3 ,4 ]
Carvalho, Solon Venancio [4 ]
Carvalho, Andre Ponce de Leon Ferreira de [5 ]
Frances, Carlos Renato Lisboa [1 ]
机构
[1] Fed Univ Para, R Augusto Correa 01, BR-66073040 Belem, Para, Brazil
[2] Univ Amazon, Belem, Para, Brazil
[3] Univ Fed Sao Paulo, Sao Jose Dos Campos, Brazil
[4] Natl Inst Space Res, Sao Jose Dos Campos, Brazil
[5] Univ Sao Paulo, Sao Carlos, Brazil
基金
巴西圣保罗研究基金会;
关键词
Brazil; COVID-19; mortality; underreporting; respiratory system diseases; public health; pandemic; time series; forecasting;
D O I
10.2196/21413
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: In Brazil, a substantial number of coronavirus disease (COVID-19) cases and deaths have been reported. It has become the second most affected country worldwide, as of June 9, 2020. Official Brazilian government sources present contradictory data on the impact of the disease; thus, it is possible that the actual number of infected individuals and deaths in Brazil is far larger than those officially reported. It is very likely that the actual spread of the disease has been underestimated. Objective: This study investigates the underreporting of cases and deaths related to COVID-19 in the most affected cities in Brazil, based on public data available from official Brazilian government internet portals, to identify the actual impact of the pandemic. Methods: We used data from historical deaths due to respiratory problems and other natural causes from two public portals: DATASUS (Department of Informatics of the Unified Healthcare System) (2010-2018) and the Brazilian Transparency Portal of Civil Registry (2019-2020). These data were used to build time-series models (modular regressions) to predict the expected mortality patterns for 2020. The forecasts were used to estimate the possible number of deaths that were incorrectly registered during the pandemic and posted on government internet portals in the most affected cities in the country. Results: Our model found a significant difference between the real and expected values. The number of deaths due to severe acute respiratory syndrome (SARS) was considerably higher in all cities, with increases between 493% and 5820%. This sudden increase may be associated with errors in reporting. An average underreporting of 40.68% (range 25.9%-62.7%) is estimated for COVID-19-related deaths. Conclusions: The significant rates of underreporting of deaths analyzed in our study demonstrate that officially released numbers are much lower than actual numbers, making it impossible for the authorities to implement a more effective pandemic response. Based on analyses carried out using different fatality rates, it can be inferred that Brazil's epidemic is worsening, and the actual number of infectees could already be between 1 to 5.4 million.
引用
收藏
页数:14
相关论文
共 50 条
  • [2] A beta regression analysis of COVID-19 mortality in Brazil
    Cribari-Neto, Francisco
    [J]. INFECTIOUS DISEASE MODELLING, 2023, 8 (02) : 309 - 317
  • [3] Underreporting of COVID-19 deaths
    Mungmunpuntipantip, Rujittika
    Wiwanitkit, Viroj
    [J]. JOURNAL OF THE FORMOSAN MEDICAL ASSOCIATION, 2021, 120 (10) : 1930 - 1930
  • [4] COVID-19 in Brazil: 150,000 deaths and the Brazilian underreporting
    Carvalho, Tatiana Aline
    Boschiero, Matheus Negri
    Marson, Fernando Augusto Lima
    [J]. DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE, 2021, 99 (03)
  • [5] Ethnic/Racial Disparity in Mortality from COVID-19: Data for the Year 2020 in Brazil
    Marina dos Santos
    Júlia Oliveira Penteado
    Rodrigo de Lima Brum
    Alicia da Silva Bonifácio
    Paula Florêncio Ramires
    Diuster de Franceschi Gariboti
    Ruana Michela Santos Cardoso
    Flavio Manoel Rodrigues da Silva Júnior
    [J]. Spatial Demography, 2023, 11
  • [6] Ethnic/Racial Disparity in Mortality from COVID-19: Data for the Year 2020 in Brazil
    dos Santos, Marina
    Penteado, Julia Oliveira
    Brum, Rodrigo de Lima
    Bonifacio, Alicia da Silva
    Ramires, Paula Florencio
    Gariboti, Diuster de Franceschi
    Cardoso, Ruana Michela Santos
    Junior, Flavio Manoel Rodrigues da Silva
    [J]. SPATIAL DEMOGRAPHY, 2023, 11 (01) : 1 - 17
  • [7] Assessing the Quality of Covid-19 Open Data Portals
    Ballhausen Sampaio, Igor Garcia
    Andrade, Eduardo de O.
    Bernardini, Flavia
    Viterbo, Jose
    [J]. ELECTRONIC GOVERNMENT, EGOV 2022, 2022, 13391 : 212 - 227
  • [8] Excess deaths during the COVID-19 pandemic: underreporting and regional inequalities in Brazil
    Yamall Orellana, Jesem Douglas
    da Cunha, Geraldo Marcelo
    Marrero, Lihsieh
    Moreira, Ronaldo Ismerio
    Leite, Iuri da Costa
    Horta, Bernardo Lessa
    [J]. CADERNOS DE SAUDE PUBLICA, 2021, 37 (01):
  • [9] Underreporting of Death by COVID-19 in Brazil's Second Most Populous State
    Evangelista Alves, Thiago Henrique
    de Souza, Tafarel Andrade
    Silva, Samyla de Almeida
    Ramos, Nayani Alves
    de Oliveira, Stefan Vilges
    [J]. FRONTIERS IN PUBLIC HEALTH, 2020, 8
  • [10] COVID-19 self-testing in Brazil and the imminent risk of underreporting cases
    Ribeiro Oliveira, Laura Alves
    Sordi Bortolini, Miguel Junior
    Taketomi, Ernesto Akio
    Resende, Rafael de Oliveira
    [J]. REVISTA DA SOCIEDADE BRASILEIRA DE MEDICINA TROPICAL, 2023, 56