Alberto Tozzi · Pandemic influenza A/H1N1pdm in Italy: age, risk and population susceptibility
Article1 min read·Published Oct 2013Older

Pandemic influenza A/H1N1pdm in Italy: age, risk and population susceptibility

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Article · Oct 2013 · 1 min read

In brief

In brief

This serological study examined age-specific attack rates and immunity patterns during Italy's 2009 H1N1 pandemic, finding a cumulative attack rate of 16.3% with notably lower infection rates in elderly populations. Using pre- and post-pandemic sera analysis with HI assays and SEIR modeling, researchers demonstrate that contact patterns and pre-existing immunity alone cannot fully explain observed age-related infection risk differences.

Written by the GCMD Library team from the article.

Alberto Tozzi

Background: A common pattern emerging from several studies evaluating the impact of the 2009 A/H1N1 pandemic influenza (A/H1N1pdm) conducted in countries worldwide is the low attack rate observed in elderly compared to that observed in children and young adults. The biological or social mechanisms responsible for the observed age-specific risk of infection are still to be deeply investigated. Methods: The level of immunity against the A/H1N1pdm in pre and post pandemic sera was determined using left over sera taken for diagnostic purposes or routine ascertainment obtained from clinical laboratories. The antibody titres were measured by the haemagglutination inhibition (HI) assay. To investigate whether certain age groups had higher risk of infection the presence of protective antibody (≥1∶40), was calculated using exact binomial 95% CI on both pre- and post- pandemic serological data in the age groups considered. To estimate age-specific susceptibility to infection we used an age-structured SEIR model. Results: By comparing pre- and post-pandemic serological data in Italy we found age- specific attack rates similar to those observed in other countries. Cumulative attack rate at the end of the first A/H1N1pdm season in Italy was estimated to be 16.3% (95% CI 9.4%-23.1%). Modeling results allow ruling out the hypothesis that only age-specific characteristics of the contact network and levels of pre-pandemic immunity are responsible for the observed age-specific risk of infectio

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