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. 2015 Mar-Apr;57(2):133-8.
doi: 10.1590/S0036-46652015000200006.

Spatiotemporal trends of cases of pandemic influenza A(H1N1)pdm09 in Argentina, 2009-2012

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Spatiotemporal trends of cases of pandemic influenza A(H1N1)pdm09 in Argentina, 2009-2012

Carlos M Leveau et al. Rev Inst Med Trop Sao Paulo. 2015 Mar-Apr.

Abstract

The aim of this paper was to analyze the spatiotemporal variations of cases of influenza A(H1N1)pdm09 in Argentina. A space-time permutation scan statistic was performed to test the non-randomness in the interaction between space and time in reported influenza A(H1N1)pdm09 cases. In 2009, two clusters were recorded in the east of Buenos Aires Province (May and June) and in the central and northern part of Argentina (July and August). Between 2011 and 2012, clusters near areas bordering other countries were registered. Within the clusters, in 2009, the high notification rates were first observed in the school-age population and then extended to the older population (15-59 years). From 2011 onwards, higher rates of reported cases of influenza A(H1N1)pdm09 occurred in children under five years in center of the country. Two stages of transmission of influenza A(H1N1)pdm09 can be characterized. The first stage had high rates of notification and a possible interaction with individuals from other countries in the major cities of Argentina (pattern of hierarchy), and the second stage had an increased interaction in some border areas without a clear pattern of hierarchy. These results suggest the need for greater coordination in the Southern Cone countries, in order to implement joint prevention and vaccination policies.

El objetivo de este trabajo es analizar las variaciones espaciotemporales de los casos de gripe A(H1N1)pdm09 en Argentina. Se realizó un escaneo estadístico espacio-temporal por permutaciones para poner a prueba la no aleatoriedad en la interacción entre espacio y tiempo de los casos registrados de gripe A(H1N1)pdm09. Durante 2009 se identificaron dos conglomerados espacio-temporales, en el este de la provincia de Buenos Aires (mayo y junio) y en la mayor parte del centro-norte de la Argentina (julio y agosto). Durante 2011 y 2012 se registraron conglomerados próximos a zonas limítrofes con otros países. Al interior de los conglomerados, primero se observaron mayores tasas de notificación en población de edad escolar para luego extenderse a población mayor (15-59 años). A partir de 2011, las mayores tasas se observaron en menores de 5 años residentes en el centro del país. Se pudieron caracterizar dos etapas de transmisión espacio-temporal de la gripe A(H1N1)pdm09. La primera etapa se caracterizó por altas tasas de notificación y una posible interacción con individuos provenientes de otros países llegados a las grandes ciudades de la Argentina (patrón de jerarquía). La segunda etapa mostró una mayor interacción en algunas zonas fronterizas y sin un patrón claro de jerarquía. Estos resultados plantean la necesidad de generar una mayor coordinación en países del Cono Sur, con el objetivo de implementar políticas más efectivas de prevención y vacunación.

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Figures

Fig . 1
Fig . 1. The Autonomous City of Buenos Aires and Provinces of Argentina.
Fig. 2
Fig. 2. Spatiotemporal clusters of cases of Influenza A H1N1 in Argentina, 2009. Months within brackets.
Fig. 3
Fig. 3. Spatiotemporal clusters of cases of Influenza A H1N1 in Argentina, 2011. Months within brackets.
Fig. 4
Fig. 4. Spatiotemporal clusters of cases of Influenza A H1N1 in Argentina, 2012. Months within brackets.

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References

    1. Alexander FE, Cuzick J. Methods for the assessment of disease clusters. In: Elliott P, Cuzick J, English D, Stern R, editors. Geographical environmental epidemiology. New York: Oxford University Press; 1992.
    1. Bandaranayake D, Jacobs M, Baker M, Hunt D, Wood T, Bissielo A, et al. The second wave of 2009 pandemic influenza A (H1N1) in New Zealand, January-October 2010. Euro Surveill. 2011;16: - PubMed
    1. Borja-Aburto VH, Chowell G, Viboud C, Simonsen L, Miller MA, Grajales-Muñiz C, et al. Epidemiological characterization of a fourth wave of pandemic A/H1N1 influenza in Mexico, winter 2011-2012: age shift and severity. Arch Med Res. 2012;43:563–570. - PMC - PubMed
    1. Chowell G, Viboud C, Munayco CV, Gómez J, Simonsen L, Miller MA, et al. Spatial and temporal characteristics of the 2009 A/H1N1 influenza pandemic in Peru. PLOS One. 2011;6: - PMC - PubMed
    1. Ellis J, Galiano M, Pebody R, Lackenby A, Thompson C, Bermingham A, et al. Virological analysis of fatal influenza cases in the United Kingdom during the early wave of influenza in winter 2010/11. Euro Surveill. 2011;16: - PubMed