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COVID-19: a need for real-time monitoring of weekly excess deaths
Open accessAbstract
The first-line epidemiological response to coronavirus disease 2019 (COVID-19) requires estimation of key parameters, including case fatality risk, and reproduction number, to monitor and predict the probable course of the pandemic. The challenge for public health scientists is that these data are partly a function of testing coverage. The number of deaths attributed to COVID-19 is problematic because the criteria for defining a death almost certainly depends on whether the death occurs in somebody who tested positive for severe acute respiratory syndrome coronavirus 2.
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Citations
Cited by
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Years of life lost to COVID-19 in 81 countries
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Calderon-Anyosa, R. J., & Kaufman, J. S. (2020) · doi:10.1101/2020.07.11.20150193 · Cited by 212
Trends in suicide in Japan by gender during the COVID-19 pandemic, up to September 2020
Nomura, S., Kawashima, T., Yoneoka, D., Tanoue, Y., Eguchi, A., Gilmour, S., Kawamura, Y., Harada, N., & Hashizume, M. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2020.113622 · Cited by 129
Metadata
- Authors
- Leon, D. A., Shkolnikov, V. M., Smeeth, L., Magnus, P., Pechholdová, M., & Jarvis, C. I.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 395
- Issue
- 10234
- Pages
- e81
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W3020619540
- Cited by
- 232
- References
- 0
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Leon, D. A., Shkolnikov, V. M., Smeeth, L., Magnus, P., Pechholdová, M., & Jarvis, C. I. (2020). COVID-19: a need for real-time monitoring of weekly excess deaths. The Lancet. https://doi.org/10.1016/s0140-6736(20)30933-8
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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.
