The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6947
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks ; volume:12 ; number:1 ; day:18 ; month:12 ; year:2012 ; pages:1-9 ; date:12.2012
BMC medical informatics and decision making ; 12, Heft 1 (18.12.2012), 1-9, 12.2012
- Creator
-
Obadia, Thomas
- Contributor
-
Haneef, Romana
Boëlle, Pierre-Yves
SpringerLink (Online service)
- DOI
-
10.1186/1472-6947-12-147
- URN
-
urn:nbn:de:1111-201607214038
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Obadia, Thomas
- Haneef, Romana
- Boëlle, Pierre-Yves
- SpringerLink (Online service)
Other Objects (12)
Resilience management during large-scale epidemic outbreaks
Rolling epidemic of Legionnaires’ disease outbreaks in small geographic areas
A global dataset of pandemic- and epidemic-prone disease outbreaks
R0 80 Kreiskolbenmotor
The R package “eseis” – a software toolbox for environmental seismology
A fractional order epidemic model for the simulation of outbreaks of Ebola
Identifying outbreaks of Porcine Epidemic Diarrhea virus through animal movements and spatial neighborhoods
The R package eseis – a comprehensive software toolbox for environmental seismology
Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
Epidemic preparedness and response capacity against infectious disease outbreaks in 186 countries, 2018–2022
Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks
Alternative graphical displays for the monitoring of epidemic outbreaks, with application to COVID-19 mortality
Resilience management during large-scale epidemic outbreaks
Rolling epidemic of Legionnaires’ disease outbreaks in small geographic areas
A global dataset of pandemic- and epidemic-prone disease outbreaks
R0 80 Kreiskolbenmotor
The R package “eseis” – a software toolbox for environmental seismology
A fractional order epidemic model for the simulation of outbreaks of Ebola
Identifying outbreaks of Porcine Epidemic Diarrhea virus through animal movements and spatial neighborhoods
The R package eseis – a comprehensive software toolbox for environmental seismology
Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
Epidemic preparedness and response capacity against infectious disease outbreaks in 186 countries, 2018–2022
Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks
Alternative graphical displays for the monitoring of epidemic outbreaks, with application to COVID-19 mortality
Resilience management during large-scale epidemic outbreaks
Rolling epidemic of Legionnaires’ disease outbreaks in small geographic areas
A global dataset of pandemic- and epidemic-prone disease outbreaks
R0 80 Kreiskolbenmotor
The R package “eseis” – a software toolbox for environmental seismology
A fractional order epidemic model for the simulation of outbreaks of Ebola
Identifying outbreaks of Porcine Epidemic Diarrhea virus through animal movements and spatial neighborhoods
The R package eseis – a comprehensive software toolbox for environmental seismology
Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study
Epidemic preparedness and response capacity against infectious disease outbreaks in 186 countries, 2018–2022
Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks