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10.1017/S1049023X21000819 http://scihub22266oqcxt.onion/10.1017/S1049023X21000819 34369349!ä!34369349 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 276.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 276.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 276.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 276.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 310.4 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Prehosp+Disaster+Med 2021 ; 36 (5): 531-535 Nephropedia Template TP {{tp|p=34369349|t=2021. 50 Years of Mass-Fatality Terrorist Attacks: A Retrospective Study of Target Demographics, Modalities, and Injury Patterns to Better Inform Future Counter-Terrorism Medicine Preparedness and Response |pdf=|usr=}}{{34369349}} gab.com Text 50 Years of Mass-Fatality Terrorist Attacks: A Retrospective Study of Target Demographics, Modalities, and Injury Patterns to Better Inform Future Counter-Terrorism Medicine Preparedness and Response JO: Prehosp Disaster Med http://www.kidney.de/pget.php?&tw=1&pmid=34369349 #FOAvip BACKGROUND: Terrorism-related deaths have fallen year after year since peaking in 2014, and whilst the coronavirus disease 2019 (COVID-19) pandemic has disrupted terrorist organizations capacity to conduct attacks and limited their potential targets, counter-terrorism experts believe this is a short-term phenomenon with serious concerns of an escalation of violence and events in the near future. This study aims to provide an epidemiological analysis of all terrorism-related mass-fatality events (>100 fatalities) sustained between 1970-2019, including historical attack strategies, modalities used, and target selection, to better inform health care responders on the injury types they are likely to encounter. METHODS: The Global Terrorism Database (GTD) was searched for all attacks between the years 1970-2019. Attacks met inclusion criteria if they fulfilled the three terrorism-related criteria as set by the GTD codebook. Ambiguous events were excluded. State-sponsored terrorist events do not meet the codebook's definition, and as such, are excluded from the study. Data analysis and subsequent discussions were focused on events causing 100+ fatal injuries (FI). RESULTS: In total, 168,003 events were recorded between the years 1970-2019. Of these, 85,225 (50.73%) events recorded no FI; 67,356 (40.10%) events recorded 1-10 FI; 5,791 (3.45%) events recorded 11-50 FI; 405 (0.24%) events recorded 51-100 FI; 149 (0.09%) events recorded over 100 FI; and 9,077 (5.40%) events recorded unknown number of FI.Also, 96,905 events recorded no non-fatal injuries (NFI); 47,425 events recorded 1-10 NFI; 8,313 events recorded 11-50 NFI; 867 events recorded 51-100 NFI; 360 events recorded over 100 NFI; and 14,130 events recorded unknown number of NFI. Private citizens and property were the primary targets in 67 of the 149 high-FI events (100+ FI). Of the 149 events recording 100+ FI, 46 (30.87%) were attributed to bombings/explosions as the primary attack modality, 43 (28.86%) were armed assaults, 23 (15.44%) hostage incidents, two (1.34%) were facility/infrastructure attacks (incendiary), one (0.67%) was an unarmed assault, seven (4.70%) had unknown modalities, and 27 (18.12%) were mixed modality attacks. CONCLUSIONS: The most common attack modality causing 100+ FI was the use of bombs and explosions (30.87%), followed by armed assaults (28.86%). Private citizens and properties (44.97%) were most commonly targeted, followed by government (6.04%), businesses (5.37%), police (4.70%), and airports and aircrafts (4.70%). These data will be useful for the development of training programs in Counter-Terrorism Medicine (CTM), a rapidly emerging Disaster Medicine sub-specialty. Twit Text FOAVip 50 Years of Mass-Fatality Terrorist Attacks: A Retrospective Study of Target Demographics, Modalities, and Injury Patterns to Better Inform Future Counter-Terrorism Medicine Preparedness and Response ????Prehosp Disaster Med http://www.kidney.de/pget.php?&tw=1&pmid=34369349 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34369349 #FOAvip English Wikipedia <ref>{{Cite pmid|34369349}}</ref> 50 Years of Mass-Fatality Terrorist Attacks: A Retrospective Study of Target Demographics, Modalities, and Injury Patterns to Better Inform Future Counter-Terrorism Medicine Preparedness and Response #MMPMID34369349 Tin D; Hertelendy AJ; Hart A; Ciottone GR Prehosp Disaster Med 2021[Oct]; 36 (5): 531-535 PMID34369349show ga BACKGROUND: Terrorism-related deaths have fallen year after year since peaking in 2014, and whilst the coronavirus disease 2019 (COVID-19) pandemic has disrupted terrorist organizations capacity to conduct attacks and limited their potential targets, counter-terrorism experts believe this is a short-term phenomenon with serious concerns of an escalation of violence and events in the near future. This study aims to provide an epidemiological analysis of all terrorism-related mass-fatality events (>100 fatalities) sustained between 1970-2019, including historical attack strategies, modalities used, and target selection, to better inform health care responders on the injury types they are likely to encounter. METHODS: The Global Terrorism Database (GTD) was searched for all attacks between the years 1970-2019. Attacks met inclusion criteria if they fulfilled the three terrorism-related criteria as set by the GTD codebook. Ambiguous events were excluded. State-sponsored terrorist events do not meet the codebook's definition, and as such, are excluded from the study. Data analysis and subsequent discussions were focused on events causing 100+ fatal injuries (FI). RESULTS: In total, 168,003 events were recorded between the years 1970-2019. Of these, 85,225 (50.73%) events recorded no FI; 67,356 (40.10%) events recorded 1-10 FI; 5,791 (3.45%) events recorded 11-50 FI; 405 (0.24%) events recorded 51-100 FI; 149 (0.09%) events recorded over 100 FI; and 9,077 (5.40%) events recorded unknown number of FI.Also, 96,905 events recorded no non-fatal injuries (NFI); 47,425 events recorded 1-10 NFI; 8,313 events recorded 11-50 NFI; 867 events recorded 51-100 NFI; 360 events recorded over 100 NFI; and 14,130 events recorded unknown number of NFI. Private citizens and property were the primary targets in 67 of the 149 high-FI events (100+ FI). Of the 149 events recording 100+ FI, 46 (30.87%) were attributed to bombings/explosions as the primary attack modality, 43 (28.86%) were armed assaults, 23 (15.44%) hostage incidents, two (1.34%) were facility/infrastructure attacks (incendiary), one (0.67%) was an unarmed assault, seven (4.70%) had unknown modalities, and 27 (18.12%) were mixed modality attacks. CONCLUSIONS: The most common attack modality causing 100+ FI was the use of bombs and explosions (30.87%), followed by armed assaults (28.86%). Private citizens and properties (44.97%) were most commonly targeted, followed by government (6.04%), businesses (5.37%), police (4.70%), and airports and aircrafts (4.70%). These data will be useful for the development of training programs in Counter-Terrorism Medicine (CTM), a rapidly emerging Disaster Medicine sub-specialty. |*COVID-19[MESH] |*Disaster Planning[MESH] |*Terrorism[MESH] |Demography[MESH] |Humans[MESH] |Retrospective Studies[MESH]50 Years of Mass-Fatality Terrorist Attacks: A Retrospective Study of (epmc).pdf DeepDyve Pubget Overpricing