<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>19(3)</volume><submitter>Adorni F</submitter><pubmed_abstract>Digital technologies have been extensively employed in response to the SARS-CoV-2 pandemic worldwide. This study describes the methodology of the two-phase internet-based EPICOVID19 survey, and the characteristics of the adult volunteer respondents who lived in Italy during the first (April-May 2020) and the second wave (January-February 2021) of the epidemic. Validated scales and ad hoc questionnaires were used to collect socio-demographic, medical and behavioural characteristics, as well as information on COVID-19. Among those who provided email addresses during phase I (105,355), 41,473 participated in phase II (mean age 50.7 years ± 13.5 SD, 60.6% females). After a median follow-up of ten months, 52.8% had undergone nasopharyngeal swab (NPS) testing and 13.2% had a positive result. More than 40% had undergone serological test (ST) and 11.9% were positive. Out of the 2073 participants with at least one positive ST, 72.8% had only negative results from NPS or never performed it. These results indicate that a large fraction of individuals remained undiagnosed, possibly contributing to the spread of the virus in the community. Participatory online surveys offer a unique opportunity to collect relevant data at individual level from large samples during confinement.</pubmed_abstract><journal>International journal of environmental research and public health</journal><pagination>1274</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8835202</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Epidemiology of SARS-CoV-2 Infection in Italy Using Real-World Data: Methodology and Cohort Description of the Second Phase of Web-Based EPICOVID19 Study.</pubmed_title><pmcid>PMC8835202</pmcid><pubmed_authors>Prinelli F</pubmed_authors><pubmed_authors>Giacomelli A</pubmed_authors><pubmed_authors>Bianchi F</pubmed_authors><pubmed_authors>Cori L</pubmed_authors><pubmed_authors>Maggi S</pubmed_authors><pubmed_authors>On Behalf Of The Epicovid Working Group</pubmed_authors><pubmed_authors>Jesuthasan N</pubmed_authors><pubmed_authors>Adorni F</pubmed_authors><pubmed_authors>Antonelli-Incalzi R</pubmed_authors><pubmed_authors>Galli M</pubmed_authors><pubmed_authors>Franchini M</pubmed_authors><pubmed_authors>Perdixi E</pubmed_authors><pubmed_authors>Pieroni S</pubmed_authors><pubmed_authors>Trevisan C</pubmed_authors><pubmed_authors>Mastroianni CM</pubmed_authors><pubmed_authors>Sojic A</pubmed_authors><pubmed_authors>Noale M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Epidemiology of SARS-CoV-2 Infection in Italy Using Real-World Data: Methodology and Cohort Description of the Second Phase of Web-Based EPICOVID19 Study.</name><description>Digital technologies have been extensively employed in response to the SARS-CoV-2 pandemic worldwide. This study describes the methodology of the two-phase internet-based EPICOVID19 survey, and the characteristics of the adult volunteer respondents who lived in Italy during the first (April-May 2020) and the second wave (January-February 2021) of the epidemic. Validated scales and ad hoc questionnaires were used to collect socio-demographic, medical and behavioural characteristics, as well as information on COVID-19. Among those who provided email addresses during phase I (105,355), 41,473 participated in phase II (mean age 50.7 years ± 13.5 SD, 60.6% females). After a median follow-up of ten months, 52.8% had undergone nasopharyngeal swab (NPS) testing and 13.2% had a positive result. More than 40% had undergone serological test (ST) and 11.9% were positive. Out of the 2073 participants with at least one positive ST, 72.8% had only negative results from NPS or never performed it. These results indicate that a large fraction of individuals remained undiagnosed, possibly contributing to the spread of the virus in the community. Participatory online surveys offer a unique opportunity to collect relevant data at individual level from large samples during confinement.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jan</publication><modification>2024-11-13T18:16:48.403Z</modification><creation>2024-11-13T18:16:48.403Z</creation></dates><accession>S-EPMC8835202</accession><cross_references><pubmed>35162295</pubmed><doi>10.3390/ijerph19031274</doi></cross_references></HashMap>