Objectives: To define the effect of influenza epidemics on mortality and to establish the best criterion for predicting mortality so as to provide a method for advance warning of the severity of an influenza epidemic.
Methods: The study was carried out in La Capital, a department in Santa Fe province, Argentina, during 1992-1999. In order to fulfill the first objective, a retrospective analysis was performed with mortality data for pneumonia and influenza in persons over 65 years of age, using the auto-regressive integrated moving averages (ARIMA). The latter were used to determine the excess mortality attributable to influenza epidemics. In order to attain the second objective, a regression analysis was performed so as to study the correlation between weekly morbidity from influenza and monthly mortality from pneumonia or influenza in personas over 65. Morbidity was expressed in terms of three summary measures which were derived from the number of cases of influenza that were reported during the first 35 weeks of the year: the sum total of all cases reported weekly, their standard deviation, and the maximum number of cases in any given week. We included in the analysis the type and subtype of influenza. These four parameters (type and subtype of influenza, along with one of the three summary measures) were compared among themselves in terms of their ability to explain the mortality observed during the first eight months of the year.
Results: Epidemics occurred during the winters of 1993, 1995, and 1999 and in the spring of 1997. During those seasons, excess deaths were observed in connection with the circulation of a predominant strain of influenza virus, type A (H3N2). There were no epidemics in the winter months of 1994, 1996, and 1998, despite the circulation of this viral strain. During the winters in which influenza virus strains A (H1N1) and B were in circulation (1992 and 1997, respectively) - both are associated with low mortality figures - no excess deaths were detected.
Conclusions: The number of weekly cases of influenza reported during the peak of the winter season is the best criterion for predicting how much excess mortality can be attributed to the epidemic.
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http://dx.doi.org/10.1590/s1020-49892002000700005 | DOI Listing |
Health Secur
January 2025
Robert A. Johnson, PhD, is Director, Medical Countermeasures Programs, and Gary L. Disbrow, PhD, is Director, Center for Biomedical Advanced Research and Development Authority (BARDA), Washington, DC. Terence M. Barnhart, PhD, is Senior Strategy Implementation Leader, Tunnell Government Services, Inc. (Contractor Supporting BARDA), Washington, DC.
From influenza to COVID-19, emerging infectious diseases have taken a heavy toll on lives and resources. Emerging infectious diseases represent one of the largest threats to national security. The primary mission of the Center for Biomedical Advanced Research and Development Authority (BARDA), within the US Administration for Strategic Preparedness and Response, is to support the advanced development of medical countermeasures (MCMs) for public health security threats, including select infectious diseases.
View Article and Find Full Text PDFJ Med Virol
January 2025
Department of Laboratory Medicine, Ziekenhuis aan de Stroom, Antwerp, Belgium.
Three hospitals implemented molecular point-of-care tests (POCTs) to screen patients for SARS-CoV-2 infection upon admission during the 2021/2022 influenza season, which in Belgium lasted from January to April 2022. The samples were simultaneously tested for influenza A/B. Influenza positivity at admission was examined in relation to patient characteristics and symptomatology.
View Article and Find Full Text PDFAntimicrob Steward Healthc Epidemiol
January 2025
Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
Objective: Social media has become an important tool in monitoring infectious disease outbreaks such as coronavirus disease 2019 and highly pathogenic avian influenza (HPAI). Influenced by the recent announcement of a possible human death from H5N2 avian influenza, we analyzed tweets collected from X (formerly Twitter) to describe the messaging regarding the HPAI outbreak, including mis- and dis-information, concerns, and health education.
Methods: We collected tweets involving keywords relating to HPAI for 5 days (June 04 to June 08, 2024).
Objectives: We assessed the transmission of SARS-CoV-2 and vaccine receipt in a representative sample of wet market workers in a highly dense, low-income setting. Wet markets are key in many Asian settings, including Dhaka, Bangladesh, for fresh food, including animal protein.
Methods: During early 2022, we assessed the prevalence of anti-SARS-CoV-2 antibodies in a random sample of poultry and vegetable workers in 15 wet markets, and investigated associations with socio-demographic characteristics and COVID-19 vaccination.
J R Soc Interface
January 2025
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Influenza forecasts could aid public health response as shown for temperate regions, but such efforts are more challenging in the tropics and subtropics due to more irregular influenza activities. Here, we built six forecast approaches for influenza in the (sub)tropics, with six model forms designed to model seasonal infection risk (i.e.
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