1. Influenza in Yucatan in 2018: Chronology, characteristics and outcomes of ambulatory and hospitalized patients.
- Author
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Mendez-Dominguez NI, Bobadilla-Rosado LO, Fajardo-Ruiz LS, Camara-Salazar A, and Gomez-Carro S
- Subjects
- Adult, Ambulatory Care, Female, Hospitalization, Humans, Male, Mexico epidemiology, Population Surveillance, Pregnancy, Retrospective Studies, Seasons, Influenza, Human epidemiology
- Abstract
Introduction: Influenza season is expected between October and February in the northern hemisphere, including Mexico. Previous studies suggested that transmission peak may occur earlier in Yucatan, a state in southeast Mexico., Objectives: (a) Describe the seasonality of 2018 influenza cases seen at O´Horan hospital, statewide, and nationwide; (b) analyze the characteristics, clinical manifestations and outcomes of ambulatory and hospitalized patients; (c) analyze fatal outcomes occurrence among vaccinated and unvaccinated individuals., Methods: Retrospective analytic cohort of all confirmed influenza cases assisted at O´Horan hospital during 2018, along with a chronologic graphic description of the statewide epidemic curve from the epidemiological surveillance registries., Results: A total of 264 influenza cases were analyzed; 145 (55%) were female; 26% were vaccinated. Health workers and unvaccinated individuals were more prone to develop severe cases. Dyspnea and tachypnea were strong predictors of hospitalization; headache, myalgias, arthralgias and rhinorrhea correlated inversely. 236 (89.47%) cases occurred in July and 22 of the 23 deaths occurred before October. No fatal outcomes were observed among vaccinated individuals. Influenza AH1N1 represented 83.6% of serotyped cases., Discussion: Onset of influenza season in Yucatan may reflect a need for rethinking timing of vaccination and of preventive campaigns, as most cases occurred before vaccination period., (Copyright © 2019 Sociedade Brasileira de Infectologia. Published by Elsevier España, S.L.U. All rights reserved.)
- Published
- 2019
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