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1.
Demography ; 60(2): 343-349, 2023 04 01.
Статья в английский | MEDLINE | ID: covidwho-2313455

Реферат

The COVID-19 pandemic has had overwhelming global impacts with deleterious social, economic, and health consequences. To assess the COVID-19 death toll, researchers have estimated declines in 2020 life expectancy at birth (e0). When data are available only for COVID-19 deaths, but not for deaths from other causes, the risks of dying from COVID-19 are typically assumed to be independent of those from other causes. In this research note, we explore the soundness of this assumption using data from the United States and Brazil, the countries with the largest number of reported COVID-19 deaths. We use three methods: one estimates the difference between 2019 and 2020 life tables and therefore does not require the assumption of independence, and the other two assume independence to simulate scenarios in which COVID-19 mortality is added to 2019 death rates or is eliminated from 2020 rates. Our results reveal that COVID-19 is not independent of other causes of death. The assumption of independence can lead to either an overestimate (Brazil) or an underestimate (United States) of the decline in e0, depending on how the number of other reported causes of death changed in 2020.


Тема - темы
COVID-19 , Cause of Death , COVID-19/complications , COVID-19/mortality , United States/epidemiology , Brazil/epidemiology , Humans , Male , Female , Infant, Newborn , Infant , Child, Preschool , Child , Adolescent , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , Neoplasms/complications , Neoplasms/mortality , Heart Diseases/complications , Heart Diseases/mortality , Diabetes Mellitus/mortality , Diabetes Complications/mortality , Cause of Death/trends , Life Tables , Life Expectancy/trends
2.
EClinicalMedicine ; 36: 100917, 2021 Jun.
Статья в английский | MEDLINE | ID: covidwho-1525765
3.
EClinicalMedicine ; 38: 101036, 2021 Aug.
Статья в английский | MEDLINE | ID: covidwho-1313067

Реферат

Background: Vaccination against COVID-19 in Brazil started in January 2021, with health workers and the elderly as the priority groups. We assessed whether there was an impact of vaccinations on the mortality of elderly individuals in a context of wide transmission of the SARS-CoV-2 gamma (P.1) variant. Methods: By May 15, 2021, 238,414 COVID-19 deaths had been reported to the Brazilian Mortality Information System. Denominators for mortality rates were calculated by correcting population estimates for all-cause deaths reported in 2020. Proportionate mortality at ages 70-79 and 80+ years relative to deaths at all ages were calculated for deaths due to COVID-19 and to other causes, as were COVID-19 mortality rate ratios relative to individuals aged 0-69 years. Vaccine coverage data were obtained from the Ministry of Health. All results were tabulated by epidemiological weeks 1-19, 2021. Findings: The proportion of all COVID-19 deaths at ages 80+ years was over 25% in weeks 1-6 and declined rapidly to 12.4% in week 19, whereas proportionate COVID-19 mortality for individuals aged 70-79 years started to decline by week 15. Trends in proportionate mortality due to other causes remained stable. Mortality rates were over 13 times higher in the 80+ years age group compared to that of 0-69 year olds up to week 6, and declined to 5.0 times in week 19. Vaccination coverage (first dose) of 90% was reached by week 9 for individuals aged 80+ years and by week 13 for those aged 70-79 years. Coronavac accounted for 65.4% and AstraZeneca for 29.8% of all doses administered in weeks 1-4, compared to 36.5% and 53.3% in weeks 15-19, respectively. Interpretation: Rapid scaling up of vaccination coverage among elderly Brazilians was associated with important declines in relative mortality compared to younger individuals, in a setting where the gamma variant predominates. Had mortality rates among the elderly remained proportionate to what was observed up to week 6, an estimated additional 43,802 COVID-related deaths would have been expected up to week 19. Funding: CGV and AJDB are funded by the Todos pela Saúde (São Paulo, Brazil) initiative.

4.
Nat Med ; 27(9): 1629-1635, 2021 09.
Статья в английский | MEDLINE | ID: covidwho-1287815

Реферат

Brazil has been heavily affected by coronavirus disease 2019 (COVID-19). In this study, we used data on reported total deaths in 2020 and in January-April 2021 to measure and compare the death toll across states. We estimate a decline in 2020 life expectancy at birth (e0) of 1.3 years, a mortality level not seen since 2014. The reduction in life expectancy at age 65 (e65) in 2020 was 0.9 years, setting Brazil back to 2012 levels. The decline was larger for males, widening by 9.1% the female-male gap in e0. Among states, Amazonas lost 60.4% of the improvements in e0 since 2000. In the first 4 months of 2021, COVID-19 deaths represented 107% of the total 2020 figures. Assuming that death rates would have been equal to 2019 all-cause rates in the absence of COVID-19, COVID-19 deaths in 2021 have already reduced e0 in 2021 by 1.8 years, which is slightly larger than the reduction estimated for 2020 under similar assumptions.


Тема - темы
COVID-19/epidemiology , COVID-19/mortality , Life Expectancy , Brazil/epidemiology , Cause of Death , Female , Humans , Male , SARS-CoV-2 , Sex Factors
5.
BMJ Open ; 11(5): e049089, 2021 05 04.
Статья в английский | MEDLINE | ID: covidwho-1216806

Реферат

OBJECTIVE: To provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil. DESIGN: Retrospective cohort study of hospitalised patients diagnosed with COVID-19. SETTING: Data from all hospitals across Brazil. PARTICIPANTS: 522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression. RESULTS: Of the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47-73), and of non-survivors 71 years (IQR, 60-80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3-9) and 7 days (IQR, 3-10), respectively; 15 days (IQR, 9-24) to death and 15 days (IQR, 11-20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20. CONCLUSIONS: Characteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.


Тема - темы
COVID-19 , Aged , Brazil/epidemiology , Comorbidity , Female , Hospital Mortality , Hospitalization , Humans , Intensive Care Units , Male , Middle Aged , Retrospective Studies , Risk Factors , SARS-CoV-2
6.
Science ; 372(6544): 821-826, 2021 05 21.
Статья в английский | MEDLINE | ID: covidwho-1186200

Реферат

Brazil has been severely hit by COVID-19, with rapid spatial spread of both cases and deaths. We used daily data on reported cases and deaths to understand, measure, and compare the spatiotemporal pattern of the spread across municipalities. Indicators of clustering, trajectories, speed, and intensity of the movement of COVID-19 to interior areas, combined with indices of policy measures, show that although no single narrative explains the diversity in the spread, an overall failure of implementing prompt, coordinated, and equitable responses in a context of stark local inequalities fueled disease spread. This resulted in high and unequal infection and mortality burdens. With a current surge in cases and deaths and several variants of concern in circulation, failure to mitigate the spread could further aggravate the burden.


Тема - темы
COVID-19/epidemiology , Epidemics , SARS-CoV-2 , Brazil/epidemiology , COVID-19/mortality , Humans , Spatio-Temporal Analysis
7.
Science ; 371(6526): 288-292, 2021 01 15.
Статья в английский | MEDLINE | ID: covidwho-965798

Реферат

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread rapidly in Manaus, the capital of Amazonas state in northern Brazil. The attack rate there is an estimate of the final size of the largely unmitigated epidemic that occurred in Manaus. We use a convenience sample of blood donors to show that by June 2020, 1 month after the epidemic peak in Manaus, 44% of the population had detectable immunoglobulin G (IgG) antibodies. Correcting for cases without a detectable antibody response and for antibody waning, we estimate a 66% attack rate in June, rising to 76% in October. This is higher than in São Paulo, in southeastern Brazil, where the estimated attack rate in October was 29%. These results confirm that when poorly controlled, COVID-19 can infect a large proportion of the population, causing high mortality.


Тема - темы
Antibodies, Viral/blood , COVID-19/epidemiology , Epidemics , Immunoglobulin G/blood , SARS-CoV-2/isolation & purification , Adolescent , Adult , Aged , Blood Donors , Brazil/epidemiology , COVID-19/blood , COVID-19/mortality , Epidemiological Monitoring , Female , Humans , Male , Middle Aged , SARS-CoV-2/immunology , Seroepidemiologic Studies , Young Adult
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