Authors
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, Nandamudi Lankalapalli Vijaykumar, Solon Venâncio Carvalho, André Ponce de Leon Ferreira de Carvalho, Carlos Renato Lisboa Frances
Publication date
2020/8/18
Journal
Journal of medical Internet research
Volume
22
Issue
8
Pages
e21413
Publisher
JMIR Publications
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 …
Total citations
2020202120222023202433917113
Scholar articles
L Veiga e Silva, MDP de Andrade Abi Harb… - Journal of medical Internet research, 2020