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Analysis of influenza data generated by four epidemiological surveillance laboratories in Mexico, 2010-2016

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  • Analysis of influenza data generated by four epidemiological surveillance laboratories in Mexico, 2010-2016

    Epidemiol Infect. 2019 Jan;147:e183. doi: 10.1017/S0950268819000694.
    Analysis of influenza data generated by four epidemiological surveillance laboratories in Mexico, 2010-2016.

    Fernandes-Matano L1, Monroy-Muñoz IE2, Bermúdez de León M3, Leal-Herrera YA4, Palomec-Nava ID1, Ruíz-Pacheco JA5, Escobedo-Guajardo BL6, Marín-Budip C4, Santacruz-Tinoco CE1, González-Ibarra J7, González-Bonilla CR7, Muñoz-Medina JE1.
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    Abstract

    The disease caused by the influenza virus is a global public health problem due to its high rates of morbidity and mortality. Thus, analysis of the information generated by epidemiological surveillance systems has vital importance for health decision making. A retrospective analysis was performed using data generated by the four molecular diagnostic laboratories of the Mexican Social Security Institute between 2010 and 2016. Demographics, influenza positivity, seasonality, treatment choices and vaccination status analyses were performed for the vaccine according to its composition for each season. In all cases, both the different influenza subtypes and different age groups were considered separately. The circulation of A/H1N1pdm09 (48.7%), influenza A/H3N2 (21.1%), influenza B (12.6%), influenza A not subtyped (11%) and influenza A/H1N1 (6.6%) exhibited well-defined annual seasonality between November and March, and there were significant increases in the number of cases every 2 years. An inadequate use of oseltamivir was determined in 38% of cases, and the vaccination status in general varied between 12.1 and 18.5% depending on the season. Our results provide current information about influenza in Mexico and demonstrate the need to update both operational case definitions and medical practice guidelines to reduce the inappropriate use of antibiotics and antivirals.


    KEYWORDS:

    Infectious disease epidemiology; influenza; molecular biology

    PMID: 31063113 DOI: 10.1017/S0950268819000694
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