Utility of emergency call centre, dispatch and ambulance data for syndromic surveillance of infectious diseases: a scoping review

被引:8
|
作者
Duijster, Janneke W. [1 ]
Doreleijers, Simone D. A. [1 ,2 ]
Pilot, Eva [2 ]
van der Hoek, Wim [1 ]
Kommer, Geert Jan [3 ]
van der Sande, Marianne A. B. [1 ,4 ,5 ]
Krafft, Thomas [2 ,6 ,7 ]
van Asten, Liselotte C. H., I [1 ]
机构
[1] Natl Inst Publ Hlth & Environm, Ctr Infect Dis Control, NL-3721 MA Bilthoven, Netherlands
[2] Maastricht Univ, Fac Hlth Med & Life Sci, Care & Publ Hlth Res Inst CAPHRI, Dept Hlth Eth & Soc, Maastricht, Netherlands
[3] Natl Inst Publ Hlth & Environm, Ctr Nutr Prevent & Hlth Serv, Bilthoven, Netherlands
[4] Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[5] Inst Trop Med, Dept Publ Hlth, Antwerp, Belgium
[6] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[7] Bharati Vidyapeeth Univ, Inst Environm Educ & Res, Pune, Maharashtra, India
来源
EUROPEAN JOURNAL OF PUBLIC HEALTH | 2020年 / 30卷 / 04期
关键词
COMMUNITY; MELBOURNE; ILLNESS; SERVICE; SYSTEM; IMPACT; TIME;
D O I
10.1093/eurpub/ckz177
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Syndromic surveillance can supplement conventional health surveillance by analyzing less-specific, near-real-time data for an indication of disease occurrence. Emergency medical call centre dispatch and ambulance data are examples of routinely and efficiently collected syndromic data that might assist in infectious disease surveillance. Scientific literature on the subject is scarce and an overview of results is lacking. Methods: A scoping review including (i) review of the peer-reviewed literature, (ii) review of grey literature and (iii) interviews with key informants. Results: Forty-four records were selected: 20 peer reviewed and 24 grey publications describing 44 studies and systems. Most publications focused on detecting respiratory illnesses or on outbreak detection at mass gatherings. Most used retrospective data; some described outcomes of temporary systems; only two described continuously active dispatch- and ambulance-based syndromic surveillance. Key informants interviewed valued dispatch- and ambulance-based syndromic surveillance as a potentially useful addition to infectious disease surveillance. Perceived benefits were its potential timeliness, standardization of data and clinical value of the data. Conclusions: Various dispatch- and ambulance-based syndromic surveillance systems for infectious diseases have been reported, although only roughly half are documented in peer-reviewed literature and most concerned retrospective research instead of continuously active surveillance systems. Dispatch- and ambulance-based syndromic data were mostly assessed in relation to respiratory illnesses; reported use for other infectious disease syndromes is limited. They are perceived by experts in the field of emergency surveillance to achieve time gains in detection of infectious disease outbreaks and to provide a useful addition to traditional surveillance efforts.
引用
收藏
页码:639 / 647
页数:9
相关论文
共 13 条
  • [1] The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England
    Packer, Simon
    Loveridge, Paul
    Soriano, Ana
    Morbey, Roger
    Todkill, Dan
    Thompson, Ross
    Rayment-Bishop, Tracy
    James, Cathryn
    Pillin, Hilary
    Smith, Gillian
    Elliot, Alex J.
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (07)
  • [2] Utility of prehospital call center ambulance dispatch data for COVID-19 cluster surveillance: A retrospective analysis
    Janagama, Srinivasa Rao
    Strehlow, Matthew C.
    Rao, Ramana G. V.
    Kohn, Michael A.
    Newberry, Jennifer A.
    [J]. ACADEMIC EMERGENCY MEDICINE, 2022, 29 (12) : 1447 - 1452
  • [3] Clinical evaluation of the Emergency Medical Services (EMS) ambulance dispatch-based syndromic surveillance system, New York City
    Jane Greenko
    Farzad Mostashari
    Annie Fine
    Marci Layton
    [J]. Journal of Urban Health, 2003, 80 (Suppl 1) : i50 - i56
  • [4] Clinical evaluation of the Emergency Medical Services (EMS) ambulance dispatch-based syndromic surveillance system, New York City
    Greenko, J
    Mostashari, F
    Fine, A
    Layton, M
    [J]. JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE, 2003, 80 (02): : I50 - I56
  • [5] Utility of Ambulance Data for Real-Time Syndromic Surveillance: A Pilot in the West Midlands Region, United Kingdom
    Todkill, Dan
    Loveridge, Paul
    Elliot, Alex J.
    Morbey, Roger A.
    Edeghere, Obaghe
    Rayment-Bishop, Tracy
    Rayment-Bishop, Chris
    Thornes, John E.
    Smith, Gillian
    [J]. PREHOSPITAL AND DISASTER MEDICINE, 2017, 32 (06) : 667 - 672
  • [6] Validity and timeliness of syndromic influenza surveillance during the autumn/winter wave of A (H1N1) influenza 2009: results of emergency medical dispatch, ambulance and emergency department data from three European regions
    Nicole Rosenkötter
    Alexandra Ziemann
    Luis Garcia-Castrillo Riesgo
    Jean Bernard Gillet
    Gernot Vergeiner
    Thomas Krafft
    Helmut Brand
    [J]. BMC Public Health, 13
  • [7] Validity and timeliness of syndromic influenza surveillance during the autumn/winter wave of A (H1N1) influenza 2009: results of emergency medical dispatch, ambulance and emergency department data from three European regions
    Rosenkotter, Nicole
    Ziemann, Alexandra
    Garcia-Castrillo Riesgo, Luis
    Gillet, Jean Bernard
    Vergeiner, Gernot
    Krafft, Thomas
    Brand, Helmut
    [J]. BMC PUBLIC HEALTH, 2013, 13
  • [8] Evaluation of syndromic algorithms for detecting patients with potentially transmissible infectious diseases based on computerised emergency-department data
    Gerbier-Colomban, Solweig
    Gicquel, Quentin
    Millet, Anne-Laure
    Riou, Christophe
    Grando, Jacqueline
    Darmoni, Stefan
    Potinet-Pagliaroli, Veronique
    Metzger, Marie-Helene
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2013, 13
  • [9] Evaluation of syndromic algorithms for detecting patients with potentially transmissible infectious diseases based on computerised emergency-department data
    Solweig Gerbier-Colomban
    Quentin Gicquel
    Anne-Laure Millet
    Christophe Riou
    Jacqueline Grando
    Stefan Darmoni
    Véronique Potinet-Pagliaroli
    Marie-Hélène Metzger
    [J]. BMC Medical Informatics and Decision Making, 13
  • [10] Effective surveillance systems for vector-borne diseases in urban settings and translation of the data into action: a scoping review
    Florence Fournet
    Frédéric Jourdain
    Emmanuel Bonnet
    Stéphanie Degroote
    Valéry Ridde
    [J]. Infectious Diseases of Poverty, 7