Search is a time-critical event: When search and rescue missions may become futile

被引:40
|
作者
Adams, Annette L.
Schmidt, Terri A.
Newgard, Craig D.
Federiuk, Carol S.
Christie, Michael
Scorvo, Sean
DeFreest, Melissa
机构
[1] Oregon Hlth & Sci Univ, Ctr Policy & Res Emergency Med, Portland, OR 97239 USA
[2] Oregon Hlth & Sci Univ, Ctr Policy & Res Emergency Med, Dept Emergency Med, Portland, OR USA
[3] Oregon Hlth & Sci Univ, Ctr Policy & Res Emergency Med, Dept Publ Hlth & Prevent Med, Portland, OR USA
[4] Corvallis Clin, Corvallis, OR USA
[5] Stanford Univ, Dept Surg, Div Emergency Med, Palo Alto, CA 94304 USA
关键词
search and rescue; EMS; wilderness medicine; classification and regression tree;
D O I
10.1580/06-WEME-OR-035R1.1
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives.-The purpose of this study was to derive and validate a rule for duration of search (ie, search time) that maximizes survivors and after which a search and rescue (SAR) mission may be considered for termination. Methods.-This was a retrospective cohort study of all SAR missions initiated in Oregon over a 7-year period, which were documented in a population-based administrative database. The following types of search missions were excluded from analysis: redundant reports of a single search; lost helicopters and airplanes: support of organized events; law-enforcement searches; searches for persons actively avoiding rescued body recovery missions; and cases without outcome information. The cohort was divided into a derivation cohort (searches from 1997-2000) and a validation cohort (2001-2003). The primary Outcome was survival. Variables considered in the model included age, gender, minimum and maximum daily temperatures, precipitation, search time, and whether the search involved an air or water incident. Missing data were handled using Multiple imputation. Classification and regression tree (CART) methods were used to derive the model. Results.-The derivation cohort included 1040 searches involving 1509 victims, 70 (4.6%) of whom died. The validation cohort included 1262 searches involving 1778 victims; 115 (6.5%) died. Search time was the only variable retained in the final model, with a cut-point of 51 hours. The derivation model was 98.9% sensitive; the same model run using the validation cohort was 99.3% sensitive. Conclusions.-This time-based model may aid search managers in the decision about starting a search or changing search tactics for missing persons.
引用
收藏
页码:95 / 101
页数:7
相关论文
共 50 条
  • [41] An adaptive middleware for supporting time-critical event response
    Qian Zhu
    Gagan Agrawal
    Cluster Computing, 2009, 12 : 87 - 100
  • [42] Minimap: An interactive dynamic decision making game for search and rescue missions
    Thuy Ngoc Nguyen
    Cleotilde Gonzalez
    Behavior Research Methods, 2024, 56 : 2311 - 2332
  • [43] On Using Mobile Robotic Relays for Adaptive Communication in Search and Rescue Missions
    Flushing, Eduardo Feo
    Gambardella, Luca M.
    Di Caro, Gianni A.
    2016 IEEE INTERNATIONAL SYMPOSIUM ON SAFETY, SECURITY, AND RESCUE ROBOTICS (SSRR), 2016, : 370 - 377
  • [44] KAIRO 3: A Modular Reconfigurable Robot for Search and Rescue Field Missions
    Pfotzer, L.
    Ruehl, S.
    Heppner, G.
    Roennau, A.
    Dillmann, R.
    2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014, 2014, : 205 - 210
  • [45] Radio Channel Models for Search-and-Rescue Missions into Collapsed Structures
    Oestges, Claude
    PROCEEDINGS OF 2013 URSI INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC THEORY (EMTS), 2013, : 1015 - 1018
  • [46] Robot Withstands Collisions, Could Help Search-and-Rescue Missions
    不详
    COMPUTER, 2014, 47 (01) : 20 - 21
  • [47] Ontological Reasoning for Human-Robot Teaming in Search and Rescue Missions
    Bagosi, Timea
    Hindriks, Koen V.
    Neerincx, Mark A.
    ELEVENTH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN ROBOT INTERACTION (HRI'16), 2016, : 595 - 596
  • [48] RFID-based Location System for Forest Search and Rescue Missions
    Mouatadid, Soukayna
    Fatara, Zineb
    Salih-Alj, Yassine
    FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013), 2013, : 439 - 444
  • [49] Aerial and Ground Robot Collaboration for Autonomous Mapping in Search and Rescue Missions
    Chatziparaschis, Dimitrios
    Lagoudakis, Michail G.
    Partsinevelos, Panagiotis
    DRONES, 2020, 4 (04) : 1 - 24
  • [50] Planning a drone fleet using Artificial Intelligence for search and rescue missions
    Hernandez Dominguez, Mario
    Nesmachnow, Sergio
    Hernandez-Vega, Jose-Isidro
    PROCEEDINGS OF THE 2017 IEEE XXIV INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND COMPUTING (INTERCON), 2017,