Estimating the infection and case fatality ratio for COVID-19 using age-adjusted data from the outbreak on the Diamond Princess cruise ship
                
    
    Russell, TW
; Hellewell, J
; Jarvis, CI
; Van-Zandvoort, K
; Abbott, S
; Ratnayake, R
; Flasche, S
; Eggo, RM
 and Kucharski, AJ
  
  
(2020).
Estimating the infection and case fatality ratio for COVID-19 using age-adjusted data from the outbreak on the Diamond Princess cruise ship.
[Dataset].
Github.
      
                  			
           https://github.com/thimotei/cCFRDiamondPrincess
                   			
           
           
       
  
              
            
                  All of the data and the code required to reproduce the figures and results of this study can be found at the public github repository.
                
Keywords
COVID-19; Coronavirus; case fatality ratio; SARS-CoV2| Item Type | Dataset | 
|---|---|
| Resource Type | 
                                
                                     Resource Type Resource Description Dataset Quantitative  | 
                            
| Capture method | Aggregation | 
| Date | 26 March 2020 | 
| Language(s) of written materials | English | 
| Creator(s) | 
                                
                                    Russell, TW | 
                            
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) | 
| Research Centre | Centre for the Mathematical Modelling of Infectious Diseases | 
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom | 
| Funders | 
                                
                                     Project Funder Grant Number Funder URI RECAP UNSPECIFIED http://dx.doi.org/10.13039/501100000272  | 
                            
| Date Deposited | 01 Apr 2020 08:52 | 
| Last Modified | 05 Apr 2022 11:10 | 
| Publisher | Github | 
ORCID: https://orcid.org/0000-0001-5610-6080
        
      ORCID: https://orcid.org/0000-0003-2683-0849
        
      ORCID: https://orcid.org/0000-0002-0812-2446
        
      ORCID: https://orcid.org/0000-0002-7770-0537
        
      ORCID: https://orcid.org/0000-0001-8057-8037
        
      ORCID: https://orcid.org/0000-0003-4978-6668
        
      ORCID: https://orcid.org/0000-0002-5808-2606
        
      ORCID: https://orcid.org/0000-0002-0362-6717
        
      ORCID: https://orcid.org/0000-0001-8814-9421