LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 3 of total 3

Search options

  1. Article ; Online: Community Assessments for Public Health Emergency Response (CASPERs)-US Virgin Islands, 2017-2018.

    Schnall, Amy Helene / Wolkin, Amy Funk / Roth, Joseph Jay / Ellis, Esther M

    American journal of public health

    2019  Volume 109, Issue S4, Page(s) S303–S308

    Abstract: Objectives. ...

    Abstract Objectives.
    MeSH term(s) Cyclonic Storms ; Disaster Planning/methods ; Drinking Water ; Emergencies ; Food Supply/statistics & numerical data ; Humans ; Needs Assessment ; Public Health ; United States Virgin Islands
    Chemical Substances Drinking Water
    Language English
    Publishing date 2019-10-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 121100-6
    ISSN 1541-0048 ; 0090-0036 ; 0002-9572
    ISSN (online) 1541-0048
    ISSN 0090-0036 ; 0002-9572
    DOI 10.2105/AJPH.2019.305161
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Un I Zs.279: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Article ; Online: Addressing Community Needs During the Hurricane Response and Recovery Efforts Through Community Assessments for Public Health Emergency Response (CASPER)-United States Virgin Islands, 2017-2018.

    Schnall, Amy Helene / Roth, Joseph Jay / Ellis, Brett / Seger, Krystal / Davis, Michelle / Ellis, Esther M

    Disaster medicine and public health preparedness

    2019  Volume 13, Issue 1, Page(s) 53–62

    Abstract: Objectives: Two category 5 storms hit the US Virgin Islands (USVI) within 13 days of each other in September 2017. This caused an almost complete loss of power and devastated critical infrastructure such as the hospitals and airports METHODS: The USVI ... ...

    Abstract Objectives: Two category 5 storms hit the US Virgin Islands (USVI) within 13 days of each other in September 2017. This caused an almost complete loss of power and devastated critical infrastructure such as the hospitals and airports METHODS: The USVI Department of Health conducted 2 response Community Assessments for Public Health Emergency Response (CASPERs) in November 2017 and a recovery CASPER in February 2018. CASPER is a 2-stage cluster sampling method designed to provide household-based information about a community's needs in a timely, inexpensive, and representative manner.
    Results: Almost 70% of homes were damaged or destroyed, 81.2% of homes still needed repair, and 10.4% of respondents felt their home was unsafe to live in approximately 5 months after the storms. Eighteen percent of individual respondents indicated that their mental health was "not good" for 14 or more days in the past month, a significant increase from 2016.
    Conclusion: The CASPERs helped characterize the status and needs of residents after the devastating hurricanes and illustrate the evolving needs of the community and the progression of the recovery process. CASPER findings were shared with response and recovery partners to promote data-driven recovery efforts, improve the efficiency of the current response and recovery efforts, and strengthen emergency preparedness in USVI. (Disaster Med Public Health Preparedness. 2019;13:53-62).
    MeSH term(s) Civil Defense/methods ; Civil Defense/statistics & numerical data ; Cyclonic Storms/statistics & numerical data ; Disaster Planning/methods ; Disaster Planning/statistics & numerical data ; Health Services Needs and Demand ; Humans ; Psychometrics/instrumentation ; Psychometrics/methods ; Public Health/methods ; Public Health/standards ; Public Health/statistics & numerical data ; United States Virgin Islands
    Language English
    Publishing date 2019-03-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2019.6
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  3. Article ; Online: Disaster-Related Surveillance Among US Virgin Islands (USVI) Shelters During the Hurricanes Irma and Maria Response.

    Schnall, Amy Helene / Roth, Joseph Jay / Ekpo, Lisa LaPlace / Guendel, Irene / Davis, Michelle / Ellis, Esther M

    Disaster medicine and public health preparedness

    2019  Volume 13, Issue 1, Page(s) 38–43

    Abstract: Objectives: 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, ... ...

    Abstract Objectives: 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.
    Methods: 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.
    Results: 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%).
    Conclusion: 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).
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Cyclonic Storms/statistics & numerical data ; Disaster Victims/statistics & numerical data ; Emergency Shelter/organization & administration ; Emergency Shelter/statistics & numerical data ; Female ; Humans ; Infant ; Length of Stay/statistics & numerical data ; Male ; Middle Aged ; Population Surveillance/methods ; Red Cross/organization & administration ; United States Virgin Islands/epidemiology
    Language English
    Publishing date 2019-03-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2018.146
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top