M. Karsai, Júlia Koltai, Orsolya Vásárhelyi, G. Röst
{"title":"Hungary in Mask/MASZK in Hungary","authors":"M. Karsai, Júlia Koltai, Orsolya Vásárhelyi, G. Röst","doi":"10.14267/CJSSP.2020.2.9","DOIUrl":null,"url":null,"abstract":"Social interactions represent one of the most important routes of transmission \nof COVID-19 as they influence the potential patterns of diffusion of infection \nthroughout different segments of the population. Despite their utmost importance, \nthe scientific community is currently lacking data collection methods that \nrecord social interactions dynamically and in detail, and in a privacy-respecting, \nrepresentative way, even on an aggregated level. Here we summarize the \nmotivation, methodology, and some early results of a coordinated process of \ndata collection in Hungary designed to track the social mixing patterns of people \nin different age groups in real time during the pandemic. The Hungarian Data \nProvider Questionnaire (MASZK7) was released in late March 2020 during the \ninitial phase of the COVID-19 outbreak in Hungary. This is an ongoing effort \nto anonymously collect age contact matrices of a voluntary population online. \nMoreover, it is accompanied with a nationally representative data collection \ncampaign via telephone survey to ensure data quality. (...)","PeriodicalId":42178,"journal":{"name":"Corvinus Journal of Sociology and Social Policy","volume":"11 1","pages":"139-146"},"PeriodicalIF":0.4000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corvinus Journal of Sociology and Social Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14267/CJSSP.2020.2.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOCIOLOGY","Score":null,"Total":0}
引用次数: 8
Abstract
Social interactions represent one of the most important routes of transmission
of COVID-19 as they influence the potential patterns of diffusion of infection
throughout different segments of the population. Despite their utmost importance,
the scientific community is currently lacking data collection methods that
record social interactions dynamically and in detail, and in a privacy-respecting,
representative way, even on an aggregated level. Here we summarize the
motivation, methodology, and some early results of a coordinated process of
data collection in Hungary designed to track the social mixing patterns of people
in different age groups in real time during the pandemic. The Hungarian Data
Provider Questionnaire (MASZK7) was released in late March 2020 during the
initial phase of the COVID-19 outbreak in Hungary. This is an ongoing effort
to anonymously collect age contact matrices of a voluntary population online.
Moreover, it is accompanied with a nationally representative data collection
campaign via telephone survey to ensure data quality. (...)
期刊介绍:
CJSSP is an edited and peer-reviewed journal, published in yearly volumes of two issues. It publishes original academic articles, research notes, and reviews from sociology, social policy and related fields in English. It invites contributions from the international community of social researchers. The journal covers a widerange of relevant social issues. It is open to new questions, unusual perspectives, explorations and explanations of social and economic behavior, local society, or supranational challenges. Strong preference is given to problem-oriented, theoretically grounded empirical researches, comparative findings, logical arguments and careful methodological solutions. CJSSP aims to respect publication ethics, thus has adopted current best practices to counter plagiarism. The submitted articles are analyzed during the review process, and papers subject to plagiarism are rejected. Also the authors are to comply with the referencing guidelines outlined in the relevant section. The journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. With similar objectives we do not charge authors for the publication of their articles. Articles submission and processing is free of charge as well. Users can use and build upon the material published in the journal for non-commercial purposes.