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1.
Clin Microbiol Infect ; 25(10): 1266-1276, 2019 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-30790685

RESUMEN

OBJECTIVES: Weekly monitoring of European all-cause excess mortality, the EuroMOMO network, observed high excess mortality during the influenza B/Yamagata dominated 2017/18 winter season, especially among elderly. We describe all-cause excess and influenza-attributable mortality during the season 2017/18 in Europe. METHODS: Based on weekly reporting of mortality from 24 European countries or sub-national regions, representing 60% of the European population excluding the Russian and Turkish parts of Europe, we estimated age stratified all-cause excess morality using the EuroMOMO model. In addition, age stratified all-cause influenza-attributable mortality was estimated using the FluMOMO algorithm, incorporating influenza activity based on clinical and virological surveillance data, and adjusting for extreme temperatures. RESULTS: Excess mortality was mainly attributable to influenza activity from December 2017 to April 2018, but also due to exceptionally low temperatures in February-March 2018. The pattern and extent of mortality excess was similar to the previous A(H3N2) dominated seasons, 2014/15 and 2016/17. The 2017/18 overall all-cause influenza-attributable mortality was estimated to be 25.4 (95%CI 25.0-25.8) per 100,000 population; 118.2 (116.4-119.9) for persons aged 65. Extending to the European population this translates into over-all 152,000 deaths. CONCLUSIONS: The high mortality among elderly was unexpected in an influenza B dominated season, which commonly are considered to cause mild illness, mainly among children. Even though A(H3N2) also circulated in the 2017/18 season and may have contributed to the excess mortality among the elderly, the common perception of influenza B only having a modest impact on excess mortality in the older population may need to be reconsidered.


Asunto(s)
Virus de la Influenza B/aislamiento & purificación , Gripe Humana/mortalidad , Gripe Humana/virología , Mortalidad , Adolescente , Adulto , Factores de Edad , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Europa (Continente)/epidemiología , Femenino , Humanos , Recién Nacido , Masculino , Persona de Mediana Edad , Adulto Joven
2.
Euro Surveill ; 20(11)2015 Mar 19.
Artículo en Inglés | MEDLINE | ID: mdl-25811643

RESUMEN

Since December 2014 and up to February 2015, the weekly number of excess deaths from all-causes among individuals ≥ 65 years of age in 14 European countries have been significantly higher than in the four previous winter seasons. The rise in unspecified excess mortality coincides with increased proportion of influenza detection in the European influenza surveillance schemes with a main predominance of influenza A (H3N2) viruses seen throughout Europe in the current season, though cold snaps and other respiratory infections may also have had an effect.


Asunto(s)
Causas de Muerte/tendencias , Gripe Humana/epidemiología , Mortalidad/tendencias , Infecciones del Sistema Respiratorio/epidemiología , Distribución por Edad , Anciano , Anciano de 80 o más Años , Algoritmos , Europa (Continente)/epidemiología , Femenino , Humanos , Subtipo H3N2 del Virus de la Influenza A/aislamiento & purificación , Gripe Humana/complicaciones , Masculino , Pandemias , Vigilancia de la Población , Infecciones del Sistema Respiratorio/complicaciones , Estaciones del Año
3.
Int J Environ Health Res ; 24(3): 226-45, 2014.
Artículo en Inglés | MEDLINE | ID: mdl-23859420

RESUMEN

The change of ambient temperature plays a key role in determining the run of the annual Lyme season. Our aim was to explain the apparent contradiction between the annual unimodal Lyme borreliosis incidence and the bimodal Ixodes ricinus tick activity run--both observed in Hungary--by distinguishing the temperature-dependent seasonal human and tick activity, the temperature-independent factors, and the multiplicative effect of human outdoor activity in summer holiday, using data from Hungary in the period of 1998-2012. This separation was verified by modeling the Lyme incidence based on the separated factors, and comparing the run of the observed and modeled incidence. We demonstrated the bimodality of tick season by using the originally unimodal Lyme incidence data. To model the outdoor human activity, the amount of camping guest nights was used, which showed an irregular run from mid-June to September. The human outdoor activity showed a similar exponential correlation with ambient temperature to that what the relative incidence did. It was proved that summer holiday has great influence on Lyme incidence.


Asunto(s)
Ixodes/crecimiento & desarrollo , Enfermedad de Lyme/epidemiología , Estaciones del Año , Temperatura , Animales , Acampada/estadística & datos numéricos , Humanos , Hungría/epidemiología , Incidencia , Ixodes/microbiología , Modelos Estadísticos
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