ArticleOnline journal of public health informatics2019
Development and Implementation of Electronic Disease Early Warning Systems for Optimal Disease Surveillance and Response during Humanitarian Crisis and Ebola Outbreak in Yemen, Somalia, Liberia and Pakistan.
Article in Online journal of public health informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.International journal of health geographics · 2018Pooled it
- Schistosomiasis in Yemen: Focal Persistence, Possible Resurgence, and Challenges to Elimination.Research and reports in tropical medicine · 2026Review
- The prolonged devastation of climate change on public health in Somalia: a silent crisis.Tropical medicine and health · 2025Review
- Cholera in conflict: outbreak analysis and response lessons from Gadaref state, Sudan (2023-2024).BMC public health · 2025Article
- A step towards reinvigorating the COVID-19 response: an intra-action review of the WHO Regional Office for Africa Incident Management Support Team.BMJ global health · 2023Review
- Article
- Improving disease surveillance data analysis, interpretation, and use at the district level in Tanzania.Global health action · 2022Article
- Information System as part of epidemic management in Burkina Faso: from plan to reality (Field Findings).BMC public health · 2022Review
- Assessing barriers, opportunities and future directions in health information sharing in humanitarian contexts: a mixed-method study.BMJ open · 2022Article
- Could Emergency Diseases Surveillance Systems Be Transitioned to Routine Surveillance Systems? A Proposed Transition Strategy for Early Warning, Alert, and Response Network.Frontiers in medicine · 2022Review
- Mind the gap: an analysis of core capacities of the international health regulations (2005) to respond to outbreaks in Yemen.BMC health services research · 2021Article
- Novel Approach to Support Rapid Data Collection, Management, and Visualization During the COVID-19 Outbreak Response in the World Health Organization African Region: Development of a Data Summarization and Visualization Tool.JMIR public health and surveillance · 2020Article
- Assessment of electronic disease early warning system for improved disease surveillance and outbreak response in Yemen.BMC public health · 2020Article
- Information technology in emergency management of COVID-19 outbreak.Informatics in medicine unlocked · 2020Review
- Responding to epidemics in large-scale humanitarian crises: a case study of the cholera response in Yemen, 2016-2018.BMJ global health · 2019Article
- WHO's reply to 'Cholera in the time of War: implications of weak surveillance in Syria for the WHO's preparedness-a comparison of two monitoring systems.BMJ global health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveTo share lessons learned with experience in concept development of electronic disease early warning system (eDEWS) as a standardized informatic tool for optimal disease surveillance for early warning and response Network (EWARN) during humanitarian crisis.
methodsWe did literature search, review and analysis to document system attributes of existing electronic tools being used for disease surveillance, early warning and health management information system (HMIS). We generated baseline information and conducted multiple planning sessions with stakeholders for EWARN system requirement elicitation and validation to inform concept development of standardized electronic tool.
resultsWe identified 98 electronic health projects, classified 22 projects under 'Disease and epidemic outbreak surveillance' theme, whereas only four electronic tools met our selection criteria and were reported to be implemented in humanitarian settings complimentary to EWARN. Baseline information was obtained to guide work on requirement gathering and analysis process, and development of concept for a standardized electronic tool for EWARN. DISCUSSION: The eDEWS was enhanced with an objective to develop standardize electronic tools and data collection procedures to monitor diseases and health events for alert detection in global humanitarian settings. The enhanced system could be harnessed as a powerful tool by outbreak response teams in getting vital epidemiological information for appropriate and timely response during emergencies.
conclusioneDEWS experiences in Yemen, Somalia, Liberia and Pakistan offers an opportunity to learn and apply lessons to improve future health informatics initiatives or adapt eDEWS as a feasible standardized approach to enhance EWARN implementation during humanitarian crisis, and potential integration into routine surveillance systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.