2016
DOI: 10.1111/irv.12357
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A population‐based estimate of the economic burden of influenza in Peru, 2009–2010

Abstract: IntroductionInfluenza disease burden and economic impact data are needed to assess the potential value of interventions. Such information is limited from resource‐limited settings. We therefore studied the cost of influenza in Peru.MethodsWe used data collected during June 2009–December 2010 from laboratory‐confirmed influenza cases identified through a household cohort in Peru. We determined the self‐reported direct and indirect costs of self‐treatment, outpatient care, emergency ward care, and hospitalizatio… Show more

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Cited by 13 publications
(5 citation statements)
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“…The overall incidence of SARI and F-SARI in our study was estimated at 187.6 and 29.0 per 100 000 population, respectively. In a Peruvian study by Tinocco et al (19) the annual incidence of influenza per 100 000 population in different age groups was calculated as: < 5 years, 277; 5-17 years, 225; 18-49 years, 74; 50-64 years, 65; and > 65 years, 46. We estimated the annual incidences for different age groups as: < 5 years, 492; 5-14 years, 1; 15-49 years, 23; 50-64 years, 86; and > 65 years, 47.…”
Section: Discussionmentioning
confidence: 99%
“…The overall incidence of SARI and F-SARI in our study was estimated at 187.6 and 29.0 per 100 000 population, respectively. In a Peruvian study by Tinocco et al (19) the annual incidence of influenza per 100 000 population in different age groups was calculated as: < 5 years, 277; 5-17 years, 225; 18-49 years, 74; 50-64 years, 65; and > 65 years, 46. We estimated the annual incidences for different age groups as: < 5 years, 492; 5-14 years, 1; 15-49 years, 23; 50-64 years, 86; and > 65 years, 47.…”
Section: Discussionmentioning
confidence: 99%
“…Validation Against an Alternative Measurement of Influenza Activity on a Fine Spatial Scale Given the possible limitations of FluNet data (including those inherent to sentinel surveillance and marked differences in sampling density by country [ Supplementary Figure S2]) and because FluNet does not report subnational data, we tested the correlation between subnational weekly GFT trends in Cusco and Lima, Peru (https://www.google.org/flutrends/ about/) and prospectively collected weekly adjusted influenza incidence data from 2 community-based cohorts in Lima and Cusco, Peru, available from 1 January 2011 to 26 July 2014. The details of these community-based surveillance studies are described elsewhere [23,24].…”
Section: Assessing Synchronicity Between Google-predicted and Observementioning
confidence: 99%
“…During the 2023 SH season, a substantial number of people sought care for influenza, but incidence was lower than reported among persons seeking care for influenza-like illness from before COVID-19. 5 2023 SH VE against influenza was similar to that of the 2022 SH season 1,2 and the 2022-2023 U.S. season 6 even though A(H1N1)pdm09 clade 6B.1A.5a.2a viruses predominated in 2023 whereas influenza A(H3N2) clade 2.a3 viruses predominated in 2022. 7 The A/Victoria/2570/2019 (H1N1)pdm09-like virus in the SH vaccine conferred a 65% risk reduction in medically attended influenza, yet fewer than one in five persons in this evaluation reported receiving an influenza vaccine during 2023.…”
mentioning
confidence: 52%