Hawraa Sweidan
Biographic Data
| ID | 7903702 |
|---|---|
| NAME | Hawraa Sweidan |
| GIVEN NAMES | Hawraa |
| FAMILY NAME | Sweidan |
| SIGNATURE | SWEIDAN H |
| AFFILIATIONS | Ministry of Public Health |
| ORCID | 0000-0003-2148-7711 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Integrating DHIS2 and R for Enhanced Cholera Surveillance in Lebanon
During the 2022-2023 cholera outbreak in Lebanon, cases were reported through the District Health Information System 2 (DHIS2). We developed automated procedures in R computing language to improve completeness of routinely notified variables, apply case definition criteria, improve geographic accuracy and documentation of laboratory results. We developed R scripts for data cleaning, standardization, and reclassification, plotted epidemic curves a…
Experience of field testing in Lebanon during the Covid-19 pandemic, January to August 2021
Soon after detection of the first COVID-19 case in Lebanon, a testing strategy was developed aiming to early detect new cases and identify close contacts in order to implement isolation and quarantine measures, thus limiting disease transmission. Field-testing activities were initiated in March 2020, focusing on suspected cases and close contacts. The objective of this paper is to present data collected between the 1st and the 35th week of 2021 a…
No prominent works on this page.
Experience of field testing in Lebanon during the Covid-19 pandemic, January to August 2021
Soon after detection of the first COVID-19 case in Lebanon, a testing strategy was developed aiming to early detect new cases and identify close contacts in order to implement isolation and quarantine measures, thus limiting disease transmission. Field-testing activities were initiated in March 2020, focusing on suspected cases and close contacts. The objective of this paper is to present data collected between the 1st and the 35th week of 2021 a…
Integrating DHIS2 and R for Enhanced Cholera Surveillance in Lebanon
During the 2022-2023 cholera outbreak in Lebanon, cases were reported through the District Health Information System 2 (DHIS2). We developed automated procedures in R computing language to improve completeness of routinely notified variables, apply case definition criteria, improve geographic accuracy and documentation of laboratory results. We developed R scripts for data cleaning, standardization, and reclassification, plotted epidemic curves a…
Analytics (1 work) · Data collection (1 work) · Data quality (1 work) · Data-Driven Disease Surveillance (1 work) · Disease (1 work) · Disease surveillance (1 work) · Documentation (1 work) · Environmental health (1 work) · Health Informatics (1 work) · Internal Medicine (1 work)