Evidence map›Paper›PMID 41372882›Full record

ArticleBMC public health2025

Links between influenza epidemics, weather characteristics and all-cause mortality in the Czech Republic, 1982-2020.

Hana Hanzlíková, Eva Plavcová, Jan Kyselý, Jan Kynčl, Marek Malý, Aleš Urban

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hana HanzlíkováInstitute of Atmospheric Physics of the Czech Academy of Sciences, Boční II/1401, Prague 4, Prague, 141 00, Czech Republic. hanzlikova@ufa.cas.cz.
Eva PlavcováInstitute of Atmospheric Physics of the Czech Academy of Sciences, Boční II/1401, Prague 4, Prague, 141 00, Czech Republic.
Jan KyselýInstitute of Atmospheric Physics of the Czech Academy of Sciences, Boční II/1401, Prague 4, Prague, 141 00, Czech Republic.
Jan KynčlNational Institute of Public Health, Šrobárova 49/48, Prague 10, Prague, 100 00, Czech Republic.
Marek MalýNational Institute of Public Health, Šrobárova 49/48, Prague 10, Prague, 100 00, Czech Republic.
Aleš UrbanInstitute of Atmospheric Physics of the Czech Academy of Sciences, Boční II/1401, Prague 4, Prague, 141 00, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn temperate climates, influenza follows a seasonal pattern with peak incidence in winter and contributes significantly to excess winter mortality. The relationships among weather variability, influenza, and human health are complex, and the underlying mechanisms remain uncertain. This study investigated how influenza epidemics and all-cause mortality in the nationwide population of the Czech Republic are linked to weather characteristics.

methodsA quasi-Poisson regression model was used to quantify excess mortality during 25 influenza epidemics over 1982-2020. Mean seasonal deviations of meteorological variables were calculated for periods from six weeks before to four weeks after the peak of influenza epidemics, categorised by their impact on excess mortality (mild, moderate or severe) and by the predominant influenza virus (A/H3N2, A/H1N1 or B). Temporal associations between individual meteorological variables and the onset of influenza epidemics were evaluated by bootstrapping and logistic regression-based explanatory model analysis.

resultsThe analysis revealed that temperature, followed by absolute humidity, was the most significant weather indicator associated with the epidemic onset. Severe epidemics with the highest mortality impacts, predominantly associated with the A/H3N2 virus, occurred during prolonged periods of significantly below-average temperatures, while mild epidemics with lower mortality impacts, typically associated with the A/H1N1 virus, occurred during prevailing average or above-average temperatures. In non-epidemic seasons, corresponding periods with increased influenza activity were characterised by significantly above-average temperatures.

conclusionsThe findings suggest that weather indicators, particularly air temperature and absolute humidity, play an important role in the timing and severity of epidemics, and that these parameters differ with the predominant influenza virus. In the temperate climate of Central Europe, the circulation of the A/H3N2 virus in the population, combined with prolonged periods of low temperatures, results in influenza epidemics with the largest excess mortality. These findings highlight the need for a better understanding of weather conditions that increase influenza transmission and survival, and for distinguishing between predominant virus subtypes when informing at-risk populations, implementing preventive measures, and mitigating negative impacts.

Indexed as

EpidemicsInfluenza, HumanWeatherAdolescentAdultAgedCause of DeathCzech RepublicFemaleHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeMaleMiddle AgedSeasonsAir temperatureCentral EuropeHumidityInfluenza epidemicsMortalityTemperate climateWeather

Identifiers

PMID41372882
PMCPMC12802231

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.