Eliezer M Diniz
Biographic Data
| ID | 886677 |
|---|---|
| NAME | Eliezer M Diniz |
| GIVEN NAMES | Eliezer M |
| FAMILY NAME | Diniz |
| SIGNATURE | DINIZ E M |
| AFFILIATIONS | Universidade Federal do Maranhão |
| ORCID | 0000-0002-6201-1771 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Excess deaths from all causes and by Covid-19 in Brazil in 2020
OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the…
Delay in death reporting affects timely monitoring and modeling of the Covid-19 pandemic
This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2…
Delay in death reporting affects timely monitoring and modeling of the Covid-19 pandemic
This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2…
Excess deaths from all causes and by Covid-19 in Brazil in 2020
OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the…
Delay in death reporting affects timely monitoring and modeling of the Covid-19 pandemic
This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2…
Coronavirus disease 2019 (COVID-19) (2 works) · COVID-19 and healthcare impacts (2 works) · COVID-19 epidemiological studies (2 works) · Disease (2 works) · Epidemiology (2 works) · Epidemiology (2 works) · Medicine (2 works) · Business (1 works) · Cause of death (1 works) · COVID-19 Clinical Research Studies (1 works)