Implementing the Health Early Warning System based on syndromic and event-based surveillance at the 2019 Hajj.
East Mediterr Health J
; 26(12): 1570-1575, 2020 Dec 09.
Artículo
en Inglés
| MEDLINE | ID: covidwho-995096
ABSTRACT
BACKGROUND:
During the 2019 Hajj, the Ministry of Health in Saudi Arabia implemented for the first time a health early warning system for rapid detection and response to health threats.AIMS:
This study aimed to describe the early warning findings at the Hajj to highlight the pattern of health risks and the potential benefits of the disease surveillance system.METHODS:
Using syndromic surveillance and event-based surveillance data, the health early warning system generated automated alarms for public health events, triggered alerts for rapid epidemiological investigations and facilitated the monitoring of health events.RESULTS:
During the deployment period (4 July-31 August 2019), a total of 121 automated alarms were generated, of which 2 events (heat-related illnesses and injuries/trauma) were confirmed by the response teams.CONCLUSION:
The surveillance system potentially improved the timeliness and situational awareness for health events, including non-infectious threats. In the context of the current COVID-19 pandemic, a health early warning system could enhance case detection and facilitate monitoring of the disease geographical spread and the effectiveness of control measures.Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Administración en Salud Pública
/
Control de Enfermedades Transmisibles
/
Brotes de Enfermedades
/
Vigilancia en Salud Pública
/
COVID-19
/
Islamismo
Tipo de estudio:
Estudio observacional
/
Estudio pronóstico
Límite:
Humanos
País/Región como asunto:
Asia
/
Europa
Idioma:
Inglés
Revista:
East Mediterr Health J
Asunto de la revista:
Medicina
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
Emhj.20.129
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