Citation

Salazar MA, Pesigan A, Law R, Winkler V. Glob. Health Action 2016; 9(1): e31320.

Affiliation

Institute of Public Health Heidelberg University, Heidelberg , Germany.

Copyright

(Copyright © 2016, Centre for Global Health Research (CGH) at Umeå University, Sweden, Publisher Co-Action Publishing)

DOI

10.3402/gha.v9.31320

PMID

28156894

Abstract

Background In 2011, the Health Emergency Management Bureau (HEMB) created the Surveillance for Post Extreme Emergencies and Disasters (SPEED), a real-time syndromic surveillance system that allows the early detection and monitoring of post-disaster disease trends. SPEED can assist health leaders in making informed decisions on health systems affected by disasters. There is a need for further validation of current concepts in post-disaster disease patterns in respect to actual field data. This study aims to evaluate the temporal post-disaster patterns of selected diseases after a flood, an earthquake, and a typhoon in the Philippines in 2013.

METHODology We analyzed the 21 syndromes provided by SPEED both separately and grouped into injuries, communicable diseases, and non-communicable diseases (NCDs) by calculating daily post-disaster consultation rates for up to 150 days post-disaster. These were compared over time and juxtaposed according to the type of disaster.

RESULTS Communicable diseases were found to be the predominant syndrome group in all three disaster types. The top six syndromes found were: acute respiratory infections, open wounds, bruises and burns, high blood pressure, skin disease, fever, and acute watery diarrhea.

DISCUSSION Overall, the results aligned with the country's morbidity profile. Within 2 months, the clear gradation of increasing syndrome rates reflected the severity (flood
CONCLUSIONS Most post-disaster syndromes may be addressed by prevention, early diagnosis, and early treatment. Health needs differ in response and recovery phases.

Language: en

Keywords

disasters; infectious disease; injuries; non-communicable diseases; syndromic surveillance