Sadok Chlif
Biographic Data
| ID | 7028083 |
|---|---|
| NAME | Sadok Chlif |
| GIVEN NAMES | Sadok |
| FAMILY NAME | Chlif |
| SIGNATURE | CHLIF S |
| AFFILIATIONS | Institut Pasteur de Tunis |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Super-spreading social events for Covid-19 transmission
Introduction: This study aimed to characterize six early clusters of COVID-19 and derive key transmission parameters from confirmed cases that were traced between April and June 2020 in Bahrain. Methods: -value computed using the Monte Carlo test, measured associations between categorical variables. Statistical analysis was performed using R software and the "data.tree, tidyverse" libraries. Results: From 9 April to 27 June 2020, we investigated …
Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
The influenza surveillance system in Tunisia provided pertinent evidence for public health interventions related to influenza situational awareness. To better monitor influenza, we propose that ILI surveillance should be limited to sites that are currently performing well and the quality of data collected should be closely monitored and improved
No prominent works on this page.
Evaluation of the influenza-like illness surveillance system in Tunisia, 2012–2015
The influenza surveillance system in Tunisia provided pertinent evidence for public health interventions related to influenza situational awareness. To better monitor influenza, we propose that ILI surveillance should be limited to sites that are currently performing well and the quality of data collected should be closely monitored and improved
Super-spreading social events for Covid-19 transmission
Introduction: This study aimed to characterize six early clusters of COVID-19 and derive key transmission parameters from confirmed cases that were traced between April and June 2020 in Bahrain. Methods: -value computed using the Monte Carlo test, measured associations between categorical variables. Statistical analysis was performed using R software and the "data.tree, tidyverse" libraries. Results: From 9 April to 27 June 2020, we investigated …
Medicine (2 works) · Statistics (2 works) · Asymptomatic (1 work) · Biology (1 work) · Computer Science (1 work) · Confidence interval (1 work) · COVID-19 and Mental Health (1 work) · COVID-19 epidemiological studies (1 work) · Data quality (1 work) · Data-Driven Disease Surveillance (1 work)