ruwanepi/Detection-analysis
Ratnayake, R
(2020).
ruwanepi/Detection-analysis.
[Dataset].
Github.
https://github.com/ruwanepi/Detection-analysis
(2020).
ruwanepi/Detection-analysis.
[Dataset].
Github.
https://github.com/ruwanepi/Detection-analysis
This is code to replicate the analyses and figures from my August 2020 submission to BMC Medicine entitled Early detection of cholera epidemics to support control in fragile and conflict-affected states: estimated delays and potential impacts. It presents an analysis of the delays in detection for 79 cholera outbreaks, and model-based estimation of outbreak size at delays.
Alternative Title
Detection-analysis
Keywords
Cholera epidemics; Surveillance; Fragile states| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Description of data capture | Compilation from epidemiological reports and peer-reviewed literature of cholera outbreak data and dates of symptom onset, outbreak detection, investigation, response, and laboratory confirmation from 79 outbreaks in fragile and conflict-affected countries, 2008-2019. |
| Capture method | Compilation/Synthesis |
| Collection Period |
From To 2008 2019 |
| Date | 20 November 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Ratnayake, R
|
| Associated roles | Finger, F (Co-Investigator); Edmunds, J (Co-Investigator) and Checchi, F (Co-Investigator) |
| 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 |
| Date Deposited | 14 Apr 2022 10:16 |
| Last Modified | 27 Nov 2025 15:16 |
| Publisher | Github |
No files available. Please consult associated links.
