000118909 001__ 118909
000118909 005__ 20240319081007.0
000118909 0247_ $$2doi$$a10.3145/epi.2022.jul.10
000118909 0248_ $$2sideral$$a130312
000118909 037__ $$aART-2022-130312
000118909 041__ $$aeng
000118909 100__ $$0(orcid)0000-0001-8568-3098$$aSalvador Oliván, J. A.$$uUniversidad de Zaragoza
000118909 245__ $$aOpen data on Covid-19 in the Spanish autonomous communities: reutilization in spatial epidemiology studies
000118909 260__ $$c2022
000118909 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118909 5203_ $$aThe Covid-19 pandemic has highlighted the need for governments and health administrations at all levels to have an open data registry that facilitates decision-making in the planning and management of health resources and provides information to citizens on the evolution of the epidemic. The concept of “open data” includes the possibility of reutilization by third parties. Space and time are basic dimensions used to structure and interpret the data of the variables that refer to the health status of the people themselves. Hence, the main objective of this study is to evaluate whether the autonomous communities’ data files regarding Covid-19 are reusable to analyze the evolution of the disease in basic spatial and temporal analysis units at the regional and national levels. To this end, open data files containing the number of diagnosed cases of Covid-19 distributed in basic health or administrative spatial units and temporal units were selected from the portals of the Spanish autonomous communities. The presence of infection-related, demographic, and temporal variables, as well as the download format and metadata, were mainly evaluated. Whether the structure of the files was homogeneous and adequate for the application of spatial analysis techniques was also analyzed. The results reveal a lack of standardization in the collection of data in both spatial and temporal units and an absence of, or ambiguity in, the meaning of the variables owing to a lack of metadata. An inadequate structure was also found in the files of seven autonomous communities, which would require subsequent processing of the data to enable their reuse and the application of analysis and spatial modeling techniques, both when carrying out global analyses and when comparing patterns of evolution between different regions.
000118909 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-115904RB-I00
000118909 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118909 590__ $$a4.2$$b2022
000118909 592__ $$a0.872$$b2022
000118909 591__ $$aCOMMUNICATION$$b19 / 96 = 0.198$$c2022$$dQ1$$eT1
000118909 593__ $$aCommunication$$c2022$$dQ1
000118909 591__ $$aINFORMATION SCIENCE & LIBRARY SCIENCE$$b27 / 84 = 0.321$$c2022$$dQ2$$eT1
000118909 593__ $$aLibrary and Information Sciences$$c2022$$dQ1
000118909 593__ $$aInformation Systems$$c2022$$dQ1
000118909 593__ $$aCultural Studies$$c2022$$dQ1
000118909 594__ $$a6.1$$b2022
000118909 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118909 700__ $$0(orcid)0000-0002-3489-0692$$aEscolano Utrilla, S.$$uUniversidad de Zaragoza
000118909 7102_ $$13006$$2435$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Humana
000118909 7102_ $$13011$$2040$$aUniversidad de Zaragoza$$bDpto. Ciencias Doc. Hª Ciencia$$cÁrea Biblioteconomía y Docum.
000118909 773__ $$g31, 4 (2022), e310410 [14 pp.]$$pProf. inf.$$tProfesional de la Informacion$$x1386-6710
000118909 8564_ $$s2627034$$uhttps://zaguan.unizar.es/record/118909/files/texto_completo.pdf$$yVersión publicada
000118909 8564_ $$s2437911$$uhttps://zaguan.unizar.es/record/118909/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118909 909CO $$ooai:zaguan.unizar.es:118909$$particulos$$pdriver
000118909 951__ $$a2024-03-18-14:43:54
000118909 980__ $$aARTICLE