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Part 1: Document Description
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Citation |
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Title: |
Covid-19 Country Level Social Science Dataset |
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Identification Number: |
doi:10.18710/VMUP44 |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2020-09-30 |
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Version: |
2 |
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Bibliographic Citation: |
Solvang, Øystein; Eriksen, Kari Elida; Stein, Jonas; Brattland, Camilla, 2020, "Covid-19 Country Level Social Science Dataset", https://doi.org/10.18710/VMUP44, DataverseNO, V2 |
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Citation |
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Title: |
Covid-19 Country Level Social Science Dataset |
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Identification Number: |
doi:10.18710/VMUP44 |
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Authoring Entity: |
Solvang, Øystein (UiT The Arctic University of Norway) |
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Eriksen, Kari Elida (UiT The Arctic University of Norway) |
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Stein, Jonas (UiT The Arctic University of Norway) |
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Brattland, Camilla (UiT The Arctic University of Norway) |
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Other identifications and acknowledgements: |
Solvang, Øystein |
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Other identifications and acknowledgements: |
Brattland, Camilla |
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Other identifications and acknowledgements: |
Stein, Jonas |
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Producer: |
UiT The Arctic University of Norway |
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Software used in Production: |
R |
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Distributor: |
DataverseNO |
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Distributor: |
UiT The Arctic University of Norway |
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Access Authority: |
Stein, Jonas |
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Access Authority: |
Brattland, Camilla |
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Access Authority: |
Solvang, Øystein |
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Depositor: |
Solvang, Øystein |
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Date of Deposit: |
2020-08-19 |
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Holdings Information: |
https://doi.org/10.18710/VMUP44 |
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Study Scope |
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Keywords: |
Social Sciences, Political Science, Geography, Country, Covid-19, SARS-CoV-2, Novel Coronavirus |
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Abstract: |
The dataset is a cross-sectional dataset covering social and public health data pertaining to the Covid-19 outbreak in 199 countries. The dataset was compiled from public register and other openly available sources. Data on Covid-19 cases and related fatalities is current as of medio July 2020. Data on other variables is mainly from the last three years, depending on data availability. Standardized unique unit identifiers (ISO-3166-1 Alpha-3) are included, enabling merging with other data. The dataset was assembled concurrently with a similar one on the Norwegian municipal level, as part of the project «Ressurs for studentaktiv læring i undervisning i statistisk og romlig analyse for samfunnsfag», at the Department of Social Science and The Norwegian College of Fishery Science, UiT. |
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Dette er et tverrsnittsdatasett med samfunns- og folkehelsedata relatert til den pågående Covid-19-pandemien. Datasettet dekker 199 land. Det er satt sammen med data fra offentlige registre og andre åpent tilgjengelige kilder. Data om Covid-19-tilfeller og -dødsfall er à jour per medio juli 2020. Data på andre variabler er hovedsaklig fra de tre siste årene, avhengig av hva som var tilgjengelig på innsamlingstidspunktet. Standardiserte unike ID-variabler (ISO-3166-1 Alpha-3) er inkludert for å muliggjøre fusjonering med annen data. Datasettet ble satt sammen parallellt med et tilsvarende på kommunenivå (Norge), som en del av prosjektet «Ressurs for studentaktiv læring i undervisning i statistisk og romlig analyse for samfunnsfag» ved Institutt for samfunnsvitenskap og Norges fiskerihøgskole, UiT. |
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Time Period: |
2020-01-01-2020-07-15 |
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Date of Collection: |
2020-06-01-2020-08-15 |
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Geographic Coverage: |
Covers 199 countries |
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Unit of Analysis: |
Country |
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Universe: |
Countries in the world |
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Kind of Data: |
Aggregate |
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Methodology and Processing |
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Time Method: |
Cross-sectional |
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Data Collector: |
Solvang, Øystein |
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Frequency of Data Collection: |
NA |
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Sampling Procedure: |
NA |
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Major Deviations from the Sample Design: |
NA |
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Mode of Data Collection: |
NA |
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Type of Research Instrument: |
NA |
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Sources Statement |
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Data Sources: |
Central Intelligence Agency, <a href="https://www.cia.gov/library/publications/the-world-factbook/" title="Sources" target="_blank">https://www.cia.gov/library/publications/the-world-factbook/</a>. |
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Esping-Andersen, G. (1990). The three worlds of welfare capitalism. Princeton University Press. |
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European Center for Disease Control and Prevention, <a href="https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases" title="Sources" target="_blank">https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases</a>. |
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European Union, <a href="https://europa.eu" title="Sources" target="_blank">https://europa.eu</a>. |
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Freedom House, <a href="https://freedomhouse.org" title="Sources" target="_blank">https://freedomhouse.org</a>. |
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Klein, E. Y., Tseng, K. K., Pant, S., & Laxminarayan, R. (2019). Tracking global trends in the effectiveness of antibiotic therapy using the Drug Resistance Index. BMJ global health, 4(2), e001315. |
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Organization for Economic Cooperation and Development, <a href="https://www.oecd.org" title="Sources" target="_blank">https://www.oecd.org</a>. |
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Our World in Data, <a href="https://ourworldindata.org" title="Sources" target="_blank">https://ourworldindata.org</a>. |
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Scruggs, L., Jahn, D., & Kuitto, K. (2014). Comparative welfare entitlements dataset 2. Version 2014, 3. |
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Statistics Norway, <a href="https://www.ssb.no" title="Sources" target="_blank">https://www.ssb.no</a>. |
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United Nations, <a href="https://www.un.org" title="Sources" target="_blank">https://www.un.org</a>. |
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World Bank, <a href="https://databank.worldbank.org/source/world-development-indicators" title="Sources" target="_blank">https://databank.worldbank.org/source/world-development-indicators</a>. |
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World Health Organization, <a href="https://www.who.int" title="Sources" target="_blank">https://www.who.int</a>. |
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Haerpfer, C., Inglehart, R., Moreno, A., Welzel, C., Kizilova, K., Diez-Medrano J., M. Lagos, P. Norris, E. Ponarin og B. Puranen mfl. (red.). 2020. World Values Survey: Round Seven (Country-Pooled Data file. Madrid, Spania og Wien, Østerrike: JD Systems Instituttet og WVSA sekretariat Versjon: <a href="http://www.worldvaluessurvey.org/ WVSDocumentationWV7.jsp" title="Sources" target="_blank">http://www.worldvaluessurvey.org/ WVSDocumentationWV7.jsp</a>. |
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Characteristics of Data Collection Situation: |
NA |
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Actions to Minimize Losses: |
NA |
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Control Operations: |
NA |
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Weighting: |
NA |
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Cleaning Operations: |
NA |
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Response Rate: |
NA |
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Estimates of Sampling Error: |
NA |
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Other Forms of Data Appraisal: |
NA |
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Data Access |
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Other Study Description Materials |
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Related Materials |
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“Gators metode” – en ressurs for å støtte studenters læring om kvantitativ metode. https://site.uit.no/rokkangruppen/2020/10/06/nye-ressurser-for-studenter-som-vil-laere-seg-kvantitativ-metode/ |
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Related Studies |
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Solvang, Øystein; Stein, Jonas; Brattland, Camilla, 2020, "Covid-19 Municipal Level (Norway) Social Science Dataset", https://doi.org/10.18710/NMKI2B, DataverseNO, V1, UNF:6:5HqdE4/Y+t+sEdJMtZhZig== [fileUNF] |
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Notes: |
NA |
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Label: |
00_ReadMe.txt |
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Notes: |
text/plain |
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Label: |
01_covidverden-kodebok.pdf |
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Notes: |
application/pdf |
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Label: |
02_covidverden.csv |
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Notes: |
text/csv |
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Label: |
03_covidverden_n244.csv |
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Notes: |
text/csv |
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Label: |
04_covidverden-script.R |
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Notes: |
type/x-r-syntax |
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Label: |
05_covidverden_n244.R |
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Notes: |
type/x-r-syntax |
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Label: |
06_FHI-country-names-to-iso.R |
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Notes: |
type/x-r-syntax |
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Label: |
07_verden_covid_metadata.pdf |
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Notes: |
application/pdf |
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Label: |
08_Verden_COVID.CPG |
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Notes: |
application/octet-stream |
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08_Verden_COVID.dbf |
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application/dbf |
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08_Verden_COVID.prj |
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application/prj |
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08_Verden_COVID.sbn |
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application/sbn |
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08_Verden_COVID.sbx |
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application/sbx |
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08_Verden_COVID.shp |
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application/shp |
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08_Verden_COVID.shx |
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application/shx |
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09_verden_iso_metadata.pdf |
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Notes: |
application/pdf |
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10_Verden_ISO.CPG |
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application/octet-stream |
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10_Verden_ISO.dbf |
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10_Verden_ISO.shx |
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application/shx |