Serial interval of novel coronavirus (COVID-19) infections
Hokkaido University · Japan Science and Technology Agency
Indexed incrossrefdoajpubmed
Abstract
Objective
To estimate the serial interval of novel coronavirus (COVID-19) from information on 28 infector-infectee pairs.
Methods
We collected dates of illness onset for primary cases (infectors) and secondary cases (infectees) from published research articles and case investigation reports. We subjectively ranked the credibility of the data and performed analyses on both the full dataset (n = 28) and a subset of pairs with highest certainty in reporting (n = 18). In addition, we adjust for right truncation of the data as the epidemic is still in its growth phase.
Citation impact
1,175
total citations
- FWCI
- 38.69
- Percentile
- 100%
- References
- 9
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Interval (graph theory)
- Coronavirus disease 2019 (COVID-19)
- Truncation (statistics)
- Medicine
- Confidence interval
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Coronavirus
- Credible interval
UN Sustainable Development Goals
- Good health and well-being
No related works found for this paper.
Funding
- JAJapan Agency for Medical Research and Development
- MOMinistry of Education, Culture, Sports, Science and TechnologyAwards: JPMJCR1413, 17H04701, 19H01074, CREST
- JSJapan Society for the Promotion of ScienceAwards: 18H04895, 17H05808, 19H01074, CREST, 17H04701, JPMJCR1413
- JSJapan Science and Technology AgencyAwards: CREST, JPMJCR1413, 17H04701
- CRCore Research for Evolutional Science and TechnologyAward: JPMJCR1413