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Background COVID-19 has spread as two distinct surges of cases in many countries. Several countries have reported differences in disease severity and mortality in the two waves. Objective Compare the in-hospital mortality in the two COVID-19 waves at a tertiary care hospital in India. Methods We conducted a retrospective data collection. Distinct periods of surges in cases and admissions were defined as the first wave spanning from March 2020 to December 2020 and the second wave from April 2021 to June 21, 2021. The primary outcome of this study was to compare mortality rates in terms of total hospital mortality rate (TMR) and case fatality rate (CFR). Results Mortality rates of wave 2 were approximately 10 times that of wave 1 (TMR of 20.3% in wave 2 versus 2.4% in wave 1 and CFR of 1.5% versus 17.7% in wave 1 and 2, respectively). Mortalities in wave 2 had a larger proportion of severe disease at presentation, faster progression of symptoms to death, and more patients without any chronic comorbid condition dying due to the direct effect of COVID-19 acute respiratory distress syndrome (ARDS). Conclusion Our data matches the worldwide reported pooled hospital mortality figures and shows the comparative difference in disease severity between the two waves.
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http://dx.doi.org/10.7759/cureus.45025 | DOI Listing |
Epidemiol Serv Saude
September 2025
Universidade Federal da Bahia, Programa de Pós-Graduação em Saúde, Ambiente e Trabalho, Salvador, BA, Brazil.
Objective: Estimate mortality indicators and impact of COVID-19 on healthcare workers in Bahia in the period 2020-2022.
Methods: This is a descriptive study, with death data extracted from the Brazilian Mortality Information System. Population data were obtained from professional councils, the National Registry of Health Establishments and the Brazilian National Immunization Program Information System.
Front Public Health
September 2025
Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
The frequency and severity of heat waves are expected to worsen with climate change. Exposure to extreme heat, or prolonged unusually high temperatures, are associated with increased morbidity and mortality. The fetus, infant, and young child are more sensitive to higher temperatures than older children and most adults given that they are rapidly developing.
View Article and Find Full Text PDFPLoS One
September 2025
Graduate Program in Public Health - PPGSC/UFES, Vitória, Espírito Santo, Brazil.
A comprehensive understanding of the factors influencing the epidemiological dynamics of COVID-19 across the pandemic waves-particularly in terms of disease severity and mortality-is critical for optimizing healthcare services and prioritizing high-risk populations. Here we aim to analyze the factors associated with short-term and prolonged hospitalization for COVID-19 during the first three pandemic waves. We conducted a retrospective observational study using data from individuals reported in the e-SUS-VS system who were hospitalized for COVID-19 in a state in a southeast state of Brazil.
View Article and Find Full Text PDFJ Appl Physiol (1985)
September 2025
Department of Kinesiology, The Pennsylvania State University.
The increase in duration, severity, and frequency of extreme heat will have a profound detrimental impact on human health, as extreme heat is the deadliest weather-related event around the world. At the same time, the population of older (>65 yrs) adults is rapidly expanding. The exaggerated heat coupled with an aging population increase the number of people at risk during environmental extremes.
View Article and Find Full Text PDFInt J Infect Dis
September 2025
PandemiX Center of Excellence, Department of Science and Environment, Roskilde University, Denmark.
When a new pandemic virus emerges in a naive population the only control options are Non-Pharmaceutical Interventions, NPI's, until vaccines or effective treatments become available. Here we report on the Danish suppression strategy and use of a combination of NPI's with a notable absence of extremely strict measures (such as stay-at-home orders). Only 7% were infected (serological evidence) in the first year of the pandemic, compared to ∼50% in Lombardy in the first wave alone.
View Article and Find Full Text PDF