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Pregnancy during COVID-19: social contact patterns and vaccine coverage of preg...

Wong, Kerry L.M.; Gimma, Amy; Paixao, Enny; Paolotti, Daniela; Karch, André; Jäger, Veronika; Baruch, Joaquin; Melillo, Tanya; Hudeckova, Henrieta

Background: Evidence and advice for pregnant women evolved during the COVID-19 pandemic. We studied social contact behaviour and vaccine uptake in pregnant women between March 2020 and September 2021 in 19 European countries. Methods: In each country, repeated online survey data were collected from a panel of nationally-representative participants. We calculated the adjusted mean number of contacts reported wit...


Unsupervised extraction of epidemic syndromes from participatory influenza surv...

Kalimeri, Kyriaki; Delfino, Matteo; Cattuto, Ciro; Perrotta, Daniela; Colizza, Vittoria; Guerrisi, Caroline; Turbelin, Clement; Duggan, Jim

Abstract: Seasonal influenza surveillance is usually carried out by sentinel general practitioners (GPs) who compile weekly reports based on the number of influenza-like illness (ILI) clinical cases observed among visited patients. This traditional practice for surveillance generally presents several issues, such as a delay of one week or more in releasing reports, population biases in the health-seeking behavi...


The representativeness of a European multi-center network for influenza-like-il...

Cantarelli, Pietro; Debin, Marion; Turbelin, Clément; Poletto, Chiara; Blanchon, Thierry; Falchi, Alessandra; Hanslik, Thomas; Bonmarin, Isabelle

The Internet is becoming more commonly used as a tool for disease surveillance. Similarly to other surveillance systems and to studies using online data collection, Internet-based surveillance will have biases in participation, affecting the generalizability of the results. Here we quantify the participation biases of Influenzanet, an ongoing European-wide network of Internet-based participatory surveillance sy...


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