The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
COVID-19 Government Response Event Dataset (CoronaNet v.1.0)
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Cites
Increasing Returns, Path Dependence, and the Study of Politics
Pierson, P. (2000) · American Political Science Review · doi:10.2307/2586011 · Cited by 8,094
Stan : A Probabilistic Programming Language
Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M., Guo, J., Li, P., & Riddell, A. (2017) · Journal of Statistical Software · doi:10.18637/jss.v076.i01 · Cited by 7,754
RESILIENCE: THE EMERGENCE OF A PERSPECTIVE FOR SOCIAL-ECOLOGICAL SYSTEMS ANALYSES
Folke, C. (2006) · Global Environmental Change · doi:10.1016/j.gloenvcha.2006.04.002 · Cited by 7,749
Using social and behavioural science to support COVID-19 pandemic response
Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0884-z · Cited by 4,964
Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market
Kilian, L. (2009) · American Economic Review · doi:10.1257/aer.99.3.1053 · Cited by 4,608
Qiu, J., Shen, B., Zhao, M., Wang, Z., Xie, B., & Xu, Y. (2020) · General Psychiatry · doi:10.1136/gpsych-2020-100213 · Cited by 4,307
How will country-based mitigation measures influence the course of the COVID-19 epidemic?
Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30567-5 · Cited by 3,648
Ferguson, N. M., Laydon, D. J., Nedjati-Gilani, G. L., Imai, N., Ainslie, K. E. C., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunubá, Z. M., Cuomo-Dannenburg, G., et al. (2020) · Spiral (Imperial College London) · doi:10.25561/77482 · Cited by 3,281
Manias, Panics, and Crashes: A History of Financial Crises
Romansco, A. U., & Kindleberger, C. P. (1979) · The American Historical Review · doi:10.2307/1855147 · Cited by 2,838
The Politics of Authoritarian Rule
Svolik, M. W. (2012) · doi:10.1017/cbo9781139176040 · Cited by 2,611
Cited by
A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)
Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., Webster, S., Cameron-Blake, E., Hallas, L., Majumdar, S., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01079-8 · Cited by 4,578
Ranking the effectiveness of worldwide COVID-19 government interventions
Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-01009-0 · Cited by 1,412
A literature review of the economics of COVID-19
Brodeur, A., Gray, D., Islam, A., & Bhuiyan, S. (2021) · Journal of Economic Surveys · doi:10.1111/joes.12423 · Cited by 976
“W. Cheng et al. (2020) find that employment activity in the United States increased in May due to reopening in some states, mainly as a result of people who resumed working at their previous job.”
BackgroundMobilizing Policy (In)Capacity to Fight COVID-19: Understanding Variations in State Responses
Capano, G., Howlett, M., Jarvis, D. S. L., Ramesh, M., & Goyal, N. (2020) · Policy and Society · doi:10.1080/14494035.2020.1787628 · Cited by 579
Non-pharmaceutical interventions during the COVID-19 pandemic: A review
Perra, N. (2021) · Physics Reports · doi:10.1016/j.physrep.2021.02.001 · Cited by 531
Metadata
- Authors
- Cheng, C., Barceló, J., Hartnett, A. S., Kubinec, R., & Messerschmidt, L.
- Venue
- Nature Human Behaviour
- Published
- 2020-06-23
- Volume
- 4
- Issue
- 7
- Pages
- 756-768
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W3036188798
- Cited by
- 454
- References
- 90
- FWCI
- 14.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: COVID-19 Government Response Event Dataset (CoronaNet v.1.0). https://app.cochat.ai/papers/10.1038/s41562-020-0909-7
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- Cheng, C., Barceló, J., Hartnett, A. S., Kubinec, R., & Messerschmidt, L. (2020). COVID-19 Government Response Event Dataset (CoronaNet v.1.0). Nature Human Behaviour. https://doi.org/10.1038/s41562-020-0909-7
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
