Cargando…
COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals
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...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446715/ https://www.ncbi.nlm.nih.gov/pubmed/32730219 http://dx.doi.org/10.2196/21413 |
_version_ | 1783574175297830912 |
---|---|
author | Veiga e Silva, Lena de Andrade Abi Harb, Maria Da Penha Teixeira Barbosa dos Santos, Aurea Milene de Mattos Teixeira, Carlos André Macedo Gomes, Vitor Hugo Silva Cardoso, Evelin Helena S da Silva, Marcelino Vijaykumar, N L Venâncio Carvalho, Solon Ponce de Leon Ferreira de Carvalho, André Lisboa Frances, Carlos Renato |
author_facet | Veiga e Silva, Lena de Andrade Abi Harb, Maria Da Penha Teixeira Barbosa dos Santos, Aurea Milene de Mattos Teixeira, Carlos André Macedo Gomes, Vitor Hugo Silva Cardoso, Evelin Helena S da Silva, Marcelino Vijaykumar, N L Venâncio Carvalho, Solon Ponce de Leon Ferreira de Carvalho, André Lisboa Frances, Carlos Renato |
author_sort | Veiga e Silva, Lena |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7446715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74467152020-08-31 COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals Veiga e Silva, Lena de Andrade Abi Harb, Maria Da Penha Teixeira Barbosa dos Santos, Aurea Milene de Mattos Teixeira, Carlos André Macedo Gomes, Vitor Hugo Silva Cardoso, Evelin Helena S da Silva, Marcelino Vijaykumar, N L Venâncio Carvalho, Solon Ponce de Leon Ferreira de Carvalho, André Lisboa Frances, Carlos Renato J Med Internet Res Original Paper 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. JMIR Publications 2020-08-18 /pmc/articles/PMC7446715/ /pubmed/32730219 http://dx.doi.org/10.2196/21413 Text en ©Lena Veiga e Silva, Maria Da Penha de Andrade Abi Harb, Aurea Milene Teixeira Barbosa dos Santos, Carlos André de Mattos Teixeira, Vitor Hugo Macedo Gomes, Evelin Helena Silva Cardoso, Marcelino S da Silva, N L Vijaykumar, Solon Venâncio Carvalho, André Ponce de Leon Ferreira de Carvalho, Carlos Renato Lisboa Frances. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 18.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Veiga e Silva, Lena de Andrade Abi Harb, Maria Da Penha Teixeira Barbosa dos Santos, Aurea Milene de Mattos Teixeira, Carlos André Macedo Gomes, Vitor Hugo Silva Cardoso, Evelin Helena S da Silva, Marcelino Vijaykumar, N L Venâncio Carvalho, Solon Ponce de Leon Ferreira de Carvalho, André Lisboa Frances, Carlos Renato COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals |
title | COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals |
title_full | COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals |
title_fullStr | COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals |
title_full_unstemmed | COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals |
title_short | COVID-19 Mortality Underreporting in Brazil: Analysis of Data From Government Internet Portals |
title_sort | covid-19 mortality underreporting in brazil: analysis of data from government internet portals |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446715/ https://www.ncbi.nlm.nih.gov/pubmed/32730219 http://dx.doi.org/10.2196/21413 |
work_keys_str_mv | AT veigaesilvalena covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT deandradeabiharbmariadapenha covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT teixeirabarbosadossantosaureamilene covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT demattosteixeiracarlosandre covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT macedogomesvitorhugo covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT silvacardosoevelinhelena covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT sdasilvamarcelino covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT vijaykumarnl covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT venanciocarvalhosolon covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT poncedeleonferreiradecarvalhoandre covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals AT lisboafrancescarlosrenato covid19mortalityunderreportinginbrazilanalysisofdatafromgovernmentinternetportals |