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Part 1: Document Description
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Citation |
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Title: |
COVID-19 geovisualizations understanding survey |
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Identification Number: |
doi:10.7910/DVN/UBEYLR |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-01-01 |
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Version: |
1 |
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Bibliographic Citation: |
Rezk, Ahmed, 2022, "COVID-19 geovisualizations understanding survey", https://doi.org/10.7910/DVN/UBEYLR, Harvard Dataverse, V1 |
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Citation |
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Title: |
COVID-19 geovisualizations understanding survey |
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Identification Number: |
doi:10.7910/DVN/UBEYLR |
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Authoring Entity: |
Rezk, Ahmed (Heliopolis University, Cairo, Egypt) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Rezk, Ahmed |
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Depositor: |
Rezk, Ahmed |
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Date of Deposit: |
2022-01-01 |
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Holdings Information: |
https://doi.org/10.7910/DVN/UBEYLR |
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Study Scope |
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Keywords: |
Social Sciences, Social Sciences |
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Abstract: |
A survey conducted to assess users understanding of four COVID-19 geovisualizations. Map 1: Bing covid tracker Map 2: ECDC covid map Map 3: Johns Hopkins CSSE covid dashboard Map 4: WHO covid dashboard |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Label: |
DATA_COVID-19 geovisualizations.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |