Epidemic curves made easy using the R package incidence [version 1; peer review : 1 approved, 2 approved with reservations]
| dc.contributor.author | Kamvar, Zhian N. | en_ZA |
| dc.contributor.author | Cai, Jun | en_ZA |
| dc.contributor.author | Pulliam, Juliet R. C. | en_ZA |
| dc.contributor.author | Schumacher, Jakob | en_ZA |
| dc.contributor.author | Jombart, Thibaut | en_ZA |
| dc.date.accessioned | 2021-11-19T14:08:18Z | |
| dc.date.available | 2021-11-19T14:08:18Z | |
| dc.date.issued | 2019 | |
| dc.description | CITATION: Kamvar, Z. N., et al. 2019. Epidemic curves made easy using the R package incidence [version 1; peer review : 1 approved, 2 approved with reservations]. F1000Research, 8:139, doi:10.12688/f1000research.18002.1. | |
| dc.description | The original publication is available at https://f1000research.com/ | |
| dc.description.abstract | The epidemiological curve (epicurve) is one of the simplest yet most useful tools used by field epidemiologists, modellers, and decision makers for assessing the dynamics of infectious disease epidemics. Here, we present the free, open-source package incidence for the R programming language, which allows users to easily compute, handle, and visualise epicurves from unaggregated linelist data. This package was built in accordance with the development guidelines of the R Epidemics Consortium (RECON), which aim to ensure robustness and reliability through extensive automated testing, documentation, and good coding practices. As such, it fills an important gap in the toolbox for outbreak analytics using the R software, and provides a solid building block for further developments in infectious disease modelling. | en_ZA |
| dc.description.uri | https://f1000research.com/articles/8-139 | |
| dc.description.version | Publisher's version | |
| dc.format.extent | 28 pages | |
| dc.identifier.citation | Kamvar, Z. N., et al. 2019. Epidemic curves made easy using the R package incidence [version 1; peer review : 1 approved, 2 approved with reservations]. F1000Research, 8:139, doi:10.12688/f1000research.18002.1 | |
| dc.identifier.issn | 2046-1402 (online) | |
| dc.identifier.other | doi:10.12688/f1000research.18002.1 | |
| dc.identifier.uri | http://hdl.handle.net/10019.1/123487 | |
| dc.language.iso | en_ZA | en_ZA |
| dc.publisher | F1000Research | |
| dc.rights.holder | Authors retain copyright | |
| dc.subject | Epicurve | en_ZA |
| dc.title | Epidemic curves made easy using the R package incidence [version 1; peer review : 1 approved, 2 approved with reservations] | en_ZA |
| dc.type | Article | en_ZA |