[Level of Knowledge, Attitudes and the Use of Preventive Measures among Household Contacts of COVID-19 Cases after the Acute Phase of the Pandemic].

Vanessa Bullon-Vela,Diana Toledo, Noelia Vera-Punzano,Pere Godoy,Manuel Garcia Cenoz, Jessica Pardos-Plaza,Jesus Castilla,Angela Dominguez,Ivan Martinez-Baz

ANALES DEL SISTEMA SANITARIO DE NAVARRA（2024）

Inst Salud Publ Navarra | CIBER Epidemiol & Salud Publ CIBERESP | Inst Invest Sanitaria Navarra IdiSNA | Gestio Serv Sanitaris

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Abstract

Background. Assessment of the level of knowledge and attitudes regarding COVID-19 and preventive measures in household contacts of COVID-19 cases after the acute phase of the pandemic. Methods. Survey among household contacts of COVID-19 cases conducted in healthcare centers in Navarre (1) and Catalonia (8) between May 2022 and July 2023. The frequency of use of preventive measures and the knowledge and attitudes towards COVID-19 were assessed through 12 items. Results. The study included 215 contacts who correctly used the preventive measures (>85%), except for facemasks (35.8%) and interpersonal distance (47%); >85% showed adequate knowledge (5/6 items) and >80% had a positive attitude (3/6 items). Moreover, 54.7% considered that COVID-19 negatively affected their life and 54.1% that it is better to develop immunity by getting infected than by vaccination. Conclusions. Household contacts show a correct level of knowledge and positive attitude towards the disease and its preventive measures.

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Key words

Knowledge,Attitude,COVID-19,Household contact,Preventive measures

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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