francescochecchi/mortality_capture_recapture_analysis
                
    
    Checchi, F (2022).
francescochecchi/mortality_capture_recapture_analysis.
[Dataset].
Github.
      
                  			
           https://github.com/francescochecchi/mortality_capture_recapture_analysis
  
  
(2022).
francescochecchi/mortality_capture_recapture_analysis.
[Dataset].
Github.
      
                  			
           https://github.com/francescochecchi/mortality_capture_recapture_analysis
                   			
           
           
       
  
              
            
                  Generic R scripts for data cleaning, descriptive analysis and implementation of two-, three- or four-list capture-recapture analysis, applied here to estimate total deaths from multiple lists generated by community informants.
                
Alternative Title
Generic R scripts for capture-recapture analysis of multiple lists of deceased persons
Keywords
SARS-CoV-2; COVID-19; Armed conflict; Humanitarian| Item Type | Dataset | 
|---|---|
| Resource Type | Resource Type Resource Description Software R script | 
| Capture method | Other | 
| Date | 25 June 2022 | 
| Language(s) of written materials | English | 
| Creator(s) | Checchi, F | 
| Associated roles | Koura, RA (Researcher); Alhaffar, M (Researcher); Dahab, M (Researcher) and Pepe, P (Researcher) | 
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) | 
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom | 
| Date Deposited | 11 Jan 2023 15:16 | 
| Last Modified | 07 Mar 2024 12:25 | 
| Publisher | Github | 
Explore Further
- Github (Online Data Resource)
- Population mortality before and during the COVID-19 epidemic in two Sudanese settings: a key informant study (Paper)
No files available. Please consult associated links.
- Github (Online Data Resource)
- Population mortality before and during the COVID-19 epidemic in two Sudanese settings: a key informant study (Paper)
ORCID: https://orcid.org/0000-0001-9030-5382
        
      