Journal Article

Evaluation of the early warning, alert and response system after Cyclone Winston, Fiji, 2016

Nilles, Eric, Kirk, Martyn D, Biaukula, Viema, Collins, Julie, Flint, James, Roper, Katrina, Faktaufon, Daniel, Haskew, Christopher, Merianos, Angela, Sheel, Meru, Nand, Devina, Samuela, Josaia, Kama, Mike

2019

Overview

To assess the performance of an early warning, alert and response system (EWARS) developed by the World Health Organization (WHO) - EWARS in a Box - that was used to detect and control disease outbreaks after Cyclone Winston caused destruction in Fiji on 20 February 2016. Immediately after the cyclone, Fiji's Ministry of Health and Medical Services, supported by WHO, started to implement EWARS in a Box, which is a smartphone-based, automated, early warning surveillance system for rapid deployment during health emergencies. Both indicator-based and event-based surveillance were employed. The performance of the system between 7 March and 29 May 2016 was evaluated. Users' experience with the system was assessed in interviews using a semi-structured questionnaire and by a cross-sectional survey. The system's performance was assessed using data from the EWARS database. Indicator-based surveillance recorded 34 113 cases of the nine syndromes under surveillance among 326 861 consultations. Three confirmed outbreaks were detected, and no large outbreak was missed. Users were satisfied with the performance of EWARS and judged it useful for timely monitoring of disease trends and outbreak detection. The system was simple, stable and flexible and could be rapidly deployed during a health emergency. The automated collation, analysis and dissemination of data reduced the burden on surveillance teams, saved human resources, minimized human error and ensured teams could focus on public health responses. In Fiji, EWARS in a Box was effective in strengthening disease surveillance during a national emergency and was well regarded by users.

• Publisher: World Health Organization
• Subject: Automation / Cloud Computing / Consumer Behavior / Cross-Sectional Studies / Cyclones / Cyclonic Storms / Data Accuracy / Data collection / Dengue fever / Deployment / Developing countries / Diarrhea / Disaster Planning - economics / Disaster Planning - methods / Disease / Disease control / Disease Outbreaks / Disorders / Displaced persons / Dissemination / Early warning systems / Earthquakes / Emergencies / Emergency communications systems / Emergency warning programs / Epidemics / Fiji / Health services / Health surveillance / Human error / Human resources / Humans / Illnesses / Information Dissemination / Intervention / LDCs / Outbreaks / Performance assessment / Public health / Public Health Surveillance - methods / Questionnaires / Responses / Semistructured questionnaires / Smartphone / Smartphones / Supervision / Surveillance / Surveillance systems / Teams / User satisfaction / Working groups / Zika virus