Disaster-Related Surveillance Among US Virgin Islands (USVI) Shelters During the Hurricanes Irma and Maria Response.
Adolescent
Adult
Aged
Aged, 80 and over
Child
Child, Preschool
Cyclonic Storms
/ statistics & numerical data
Disaster Victims
/ statistics & numerical data
Emergency Shelter
/ organization & administration
Female
Humans
Infant
Length of Stay
/ statistics & numerical data
Male
Middle Aged
Population Surveillance
/ methods
Red Cross
/ organization & administration
United States Virgin Islands
/ epidemiology
American Red Cross
disaster
hurricane
shelter
surveillance
Journal
Disaster medicine and public health preparedness
ISSN: 1938-744X
Titre abrégé: Disaster Med Public Health Prep
Pays: United States
ID NLM: 101297401
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
entrez:
8
3
2019
pubmed:
8
3
2019
medline:
17
9
2019
Statut:
ppublish
Résumé
Two Category 5 storms, Hurricane Irma and Hurricane Maria, hit the U.S. Virgin Islands (USVI) within 13 days of each other in September 2017. These storms caused catastrophic damage across the territory, including widespread loss of power, destruction of homes, and devastation of critical infrastructure. During large scale disasters such as Hurricanes Irma and Maria, public health surveillance is an important tool to track emerging illnesses and injuries, identify at-risk populations, and assess the effectiveness of response efforts. The USVI Department of Health (DoH) partnered with shelter staff volunteers to monitor the health of the sheltered population and help guide response efforts. Shelter volunteers collect data on the American Red Cross Aggregate Morbidity Report form that tallies the number of client visits at a shelter's health services every 24 hours. Morbidity data were collected at all 5 shelters on St. Thomas and St. Croix between September and October 2017. This article describes the health surveillance data collected in response to Hurricanes Irma and Maria. Following Hurricanes Irma and Maria, 1130 health-related client visits were reported, accounting for 1655 reasons for the visits (each client may have more than 1 reason for a single visit). Only 1 shelter reported data daily. Over half of visits (51.2%) were for health care management; 17.7% for acute illnesses, which include respiratory conditions, gastrointestinal symptoms, and pain; 14.6% for exacerbation of chronic disease; 9.8% for mental health; and 6.7% for injury. Shelter volunteers treated many clients within the shelters; however, reporting of the disposition (eg, referred to physician, pharmacist) was often missed (78.1%). Shelter surveillance is an efficient means of quickly identifying and characterizing health issues and concerns in sheltered populations following disasters, allowing for the development of evidence-based strategies to address identified needs. When incorporated into broader surveillance strategies using multiple data sources, shelter data can enable disaster epidemiologists to paint a more comprehensive picture of community health, thereby planning and responding to health issues both within and outside of shelters. The findings from this report illustrated that managing chronic conditions presented a more notable resource demand than acute injuries and illnesses. Although there remains room for improvement because reporting was inconsistent throughout the response, the capacity of shelter staff to address the health needs of shelter residents and the ability to monitor the health needs in the sheltered population were critical resources for the USVI DoH overwhelmed by the disaster. (Disaster Med Public Health Preparedness. 2019;13:38-43).
Identifiants
pubmed: 30841950
pii: S1935789318001465
doi: 10.1017/dmp.2018.146
pmc: PMC8822624
mid: NIHMS1775397
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
38-43Subventions
Organisme : Intramural CDC HHS
ID : CC999999
Pays : United States
Références
South Med J. 2013 Jan;106(1):102-8
pubmed: 23263323
Disaster Med Public Health Prep. 2020 Feb;14(1):49-55
pubmed: 31221233