31 March 23

CHRIS COVID-19 study

A longitudinal analysis of a population representative sample

  • English

We assessed data from a stratified random sample of 697 individuals susceptible to first infection who completed 4,512 repeated online questionnaires at four-week intervals between September 2020 and May 2021 in the Val Venosta/Vinschgau district (South Tyrol, Italy) as part of the longitudinal CHRIS Covid-19 study.

Among individuals susceptible to first SARS-CoV-2 infection, almost no personal characteristic such as age, sex, education, comorbidities, lifestyle factors or preexisting pathologies, had an influence on the likelihood of undergoing SARS-CoV-2 testing in the study area over the nine months of the COVID-19 pandemic covered by this study.

Flowchart of the follow-up screening in the CHRIS COVID-19 study from the individual participant point of view. Baseline participation involved 845 individuals, of whom 697 tested negative via antibody/PCR testing for SARS-CoV-2 and were eligible for participation in this analysis.

To characterize COVID-19 epidemiology it is important to understand how much testing is driven by contextual or individual conditions, in order to delineate the role of individual behavior and to shape public health interventions and resource allocation.

This type of knowledge from the general community along with test results and personal risk assessments collected in a rigorous and timely fashion can inform testing prioritization and communication strategies at the local level.

Read the full article here: https://doi.org/10.1080/20477724.2023.2191232


The work had major contribution by D. Giardiello and contribution by D. Bottigliengo, former EURAC Research collaborators.


The CHRIS COVID-19 study was supported by Eurac Research, the South Tyrolean Health Authority, and the Department of Innovation, Research and University of the Autonomous Province of Bolzano. The present research was conducted within the project PACE: Partnership to Accelerate COVID-19 rEsearch in South Tyrol, funded by Department of Innovation, Research and University of the Autonomous Province of Bolzano within the 2019–2021 Research Program (unique project code: D52F20000770003). Funding sources did not have any role in the research conduction, writing of the manuscript, and decision to submit it for publication. Authors were not precluded from accessing data in the study, and they accept responsibility to submit for publication

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