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Cited by 662

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A cross-country database of COVID-19 testing

Open access
Hasell, Joe, Mathieu, Edouard, Beltekian, Diana, Macdonald, Bobbie, Giattino, Charlie, Ortiz-Ospina, Esteban, Roser, Max, Ritchie, Hannah·2020·Scientific Data

Abstract

Our understanding of the evolution of the COVID-19 pandemic is built upon data concerning confirmed cases and deaths. This data, however, can only be meaningfully interpreted alongside an accurate understanding of the extent of virus testing in different countries. This new database brings together official data on the extent of PCR testing over time for 94 countries. We provide a time series for the daily number of tests performed, or people tested, together with metadata describing data quality and comparability issues needed for the interpretation of the time series. The database is updated regularly through a combination of automated scraping and manual collection and verification, and is entirely replicable, with sources provided for each observation. In providing accessible cross-country data on testing output, it aims to facilitate the incorporation of this crucial information into epidemiological studies, as well as track a key component of countries’ responses to COVID-19.

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Research works printed but not linked: 2

  1. Kigozi, S. P. et al. Malaria Burden through Routine Reporting: Relationship between Incidence and Test Positivity Rates. Am. J. Trop. Med. Hyg. 101, 137–147 (2019). · DOI
  2. Golding, N. et al. Reconstructing the global dynamics of under-ascertained COVID-19 cases and infections. Preprint at https://doi.org/10.1101/2020.07.07.20148460 (2020). · DOI

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Metadata

Authors
Hasell, J., Mathieu, E., Beltekian, D., Macdonald, B., Giattino, C., Ortiz-Ospina, E., Roser, M., & Ritchie, H.
Venue
Scientific Data
Published
2020-10-08
Volume
7
Issue
1
Pages
345-345
ISSN
2052-4463 (ISSN-L)
OpenAlex
W3091913409
Cited by
662
References
2
Type
data paper
Language
en
Open access
gold
Licence

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CoChat. (2026). Citation check: A cross-country database of COVID-19 testing. https://app.cochat.ai/papers/10.1038/s41597-020-00688-8
The paper
Hasell, J., Mathieu, E., Beltekian, D., Macdonald, B., Giattino, C., Ortiz-Ospina, E., Roser, M., & Ritchie, H. (2020). A cross-country database of COVID-19 testing. Scientific Data. https://doi.org/10.1038/s41597-020-00688-8

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.