Real World Effectiveness of Information and Communication Technologies in Disaster Relief: A Systematic Review
Abstract
Background: The application of information and communication technologies (ICTs) in disaster relief is increasingly widespread, but it is still unclear whether ICT can reduce casualties and economic losses in disaster response phase.
Methods: We searched studies in the databases of Scopus, EI, MEDLINE and EMBASE from Jan 1, 1990, to Mar 22, 2019. Excel 2016 and VOSviewer (version 1.6.11) were used to analyze the extracted data and visualize the network diagram.
Results: We included 169 eligible articles. The number of ICTs-related disaster-relief articles published annually shows an overall trend of growth since 1990. The United States has the greatest influence in this field. The 169 articles reported twenty-four technologies and the top three reported most frequently were remote sensing, social media, and geographic information system (GIS). The main roles of ICTs in natural disaster rescue included information dissemination, post-disaster image collection and damage assessment. However, of the 169 articles, only five reported that ICTs reduced casualties or economic losses in disaster response phase, two concluded that rescue robot was ineffective in mudslide rescue, and the remaining 162 (95.86%) did not evaluate the effect of ICTs on the rescue.
Conclusion: ICTs have the potential to reduce casualties and economic losses, but some technologies are not applicable to all rescue scenarios. In addition, most studies did not pay attention to the effect of technology on the rescue.
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10. Raj M. Energy aware and privacy preserving protocols for ad hoc networks with applications to disaster management [PhD thesis]. Missouri University of Science and Technology, United States of America; 2014.
11. Levius S, Safa M, Weeks K (2017). Research note for use of information and communication technology to support comprehensive disaster management in the Caribbean countries. J Inf Technol Case Appl Res, 19(2):113-20.
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18. Ishikawa H, Onuki H, Shinonaga H (2019). Method for detecting user positions with unmanned aerial vehicles based on doppler shifts. IEICE Trans Fund Electron Commun Comput Sci, E102A (1):195-204.
19. Jaeger PT, Langa LA, McClure CR, Bertot JC (2006). The 2004 and 2005 gulf coast hurricanes: Evolving roles and lessons learned for public libraries in disaster preparedness and community services. Public Libr Q, 25(3-4):199-214.
20. Kaur A, Sood SK (2019). Analytical mapping of research on disaster management, types and role of ICT during 2011–2018. Environ Hazards, 18(3):266-85.
21. Khasawneh A, Rogers H, Bertrand J, et al (2019). Human adaptation to latency in teleoperated multi-robot human-agent search and rescue teams. Autom Constr, 99:265-77.
22. Ogie RI, Clarke RJ, Forehead H, Perez P (2019). Crowdsourced social media data for disaster management: Lessons from the PetaJakarta.org project. Comput Environ Urban Syst, 73:108-17.
23. Semaan BC. Recovery, Resilience and Beyond: ICT Use During Ongoing Disruption [PhD thesis]. University of California, United States of America; 2011.
24. Stephenson R, Anderson PS (1997). Disasters and the information technology revolution. Disasters, 21(4):305-34.
25. Tolba A (2019). Content accessibility preference approach for improving service optimality in internet of vehicles. Comput Networks, 152:78-86.
26. Gutiérrez-Salcedo M, Martínez MÁ, Moral-Munoz JA, et al (2018). Some bibliometric procedures for analyzing and evaluating research fields. Appl Intell, 48(5):1275-87.
27. Hossain L, Karimi F, Wigand RT, Crawford JW (2015). Evolutionary longitudinal network dynamics of global zoonotic research. Scientometrics, 103(2):337-53.
28. Nees Jan van Eck, Ludo Waltman (2019). VOSviewer Manual. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.8.pdf
29. Gao Y, Wang Y, Zhai X, et al (2017). Publication trends of research on diabetes mellitus and T cells (1997–2016): A 20-year bibliometric study. PLoS One, 12(9):e0184869.
30. Allaire MC (2016). Disaster loss and social media: Can online information increase flood resilience? Water Resour Res, 52(9):7408-23.
31. Brugger H, Etter HJ, Zweifel B, et al (2007). The impact of avalanche rescue devices on survival. Resuscitation, 75(3):476-83.
32. Grasegger K, Strapazzon G, Procter E, et al (2016). Avalanche Survival after Rescue with the RECCO Rescue System: A Case Report. Wild Environ Med, 27(2):282-6.
33. Hohlrieder M, Mair P, Wuertl W, Brugger H (2005). The impact of avalanche transceivers on mortality from avalanche accidents. High Alt Med Biol, 6(1):72-77.
34. Uscher-Pines L, Fischer S, Tong I, et al (2018). Virtual First Responders: the Role of Direct-to-Consumer Telemedicine in Caring for People Impacted by Natural Disasters. J Gen Intern Med, 33(8):1242-1244.
35. Micire MJ (2008). Evolution and field performance of a rescue robot. J Field Robotics, 25(1-2):17-30.
36. Murphy RR, Stover S (2008). Rescue robots for mudslides: A descriptive study of the 2005 La Conchita mudslide response. J Field Robotics, 25(1-2):3-16.
37. Chen SW, Wang XS, Sato M (2016). Urban Damage Level Mapping Based on Scattering Mechanism Investigation Using Fully Polarimetric SAR Data for the 3.11 East Japan Earthquake. IEEE Trans Geosci Remote Sens, 54(12):6919-29.
38. Zhang Q, Zhang Y, Yang X, Su B (2014). Automatic recognition of seismic intensity based on RS and GIS: A case study in Wenchuan Ms8.0 earthquake of China. ScientificWorldJournal, 2014:878149.
39. Ge L, Ng AHM, Li X, et al (2015). Near real-time satellite mapping of the 2015 Gorkha earthquake, Nepal. Ann GIS, 21(3):175-90.
40. Laben C (2002). Integration of remote sensing data and geographic information system technology for emergency managers and their applications at the Pacific Disaster Center. Opt Eng, 41(9):2129-2136.
41. Tsai WF, Chen B, Chang JY, et al (2011). Application of near real-time and multiscale three dimensional earth observation platforms in disaster prevention. Int J Autom Smart Technol, 1(2):35-50.
42. Barnes CF, Fritz H, Yoo J (2007). Hurricane disaster assessments with image-driven data mining in high-resolution satellite imagery. IEEE Trans Geosci Remote Sens, 45(6):1631-1640.
43. Yang MD, Su TC, Hsu CH, et al (2007). Mapping of the 26 December 2004 tsunami disaster by using FORMOSAT-2 images. Int J Remote Sens, 28(13-14):3071-3091.
44. Takahashi B, Tandoc EC, Jr., Carmichael C (2015). Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines. Comput Hum Behav, 50:392-398.
45. Mauroner O, Heudorfer A (2016). Social media in disaster management: How social media impact the work of volunteer groups and aid organisations in disaster preparation and response. Int J Emerg Manag, 12(2):196-217.
46. Huang CM, Chan E, Hyder AA (2010). Web 2.0 and internet social networking: A new tool for disaster management? - Lessons from Taiwan. BMC Med Inform Decis Mak, 10:57.
47. Hibbin RA, Samuel G, Derrick GE (2018). From “a Fair Game” to “a Form of Covert Research”: Research Ethics Committee Members’ Differing Notions of Consent and Potential Risk to Participants Within Social Media Research. J Empir Res Hum Res Ethics, 13(2):149-159.
48. Diwakar PG, Jayaraman V, Bhanumurthy V, Ramalingam M (2009). Geospatial applications in Tsunami disaster management. Int J Ecol Dev, 12(W09):4-14.
49. Soden R, Palen L (2016). Infrastructure in the wild: What mapping in post-earthquake Nepal reveals about infrastructural emergence. 34th Annual Conference on Human Factors in Computing Systems, CHI 2016; pp.:2798-2807.
50. Rongier C, Lauras M, Galasso F, Gourc D (2013). Towards a crisis performance-measurement system. Int J Comput Integr Manuf, 26(11):1087-102.
51. Balcik B. Relief chain planning and management: modeling and analyzing humanitarian logistic problems [PhD thesis]. University of Washington, United States of America; 2008.
2. Silva LDO, Bandeira RADM, Campos VBG (2019). Proposal to planning facility location using UAV and geographic information systems in a post-disaster scenario. Int J Disaster Risk Reduct, 36:e101080.
3. Hannah Ritchie MR (2019). Natural Disasters 2019. Available from: https://ourworldindata.org/natural-disasters
4. Du HS, Ke X, Chu SKW, Chan LT (2017). A bibliometric analysis of emergency management using information systems (2000-2016). Online Inf Rev, 41(4):454-70.
5. Westlund S. Exploring the role of geomatics in disaster management [PhD thesis]. University of Manitoba, Canada; 2009.
6. Cinnamon J, Jones SK, Adger WN (2016). Evidence and future potential of mobile phone data for disease disaster management. Geoforum, 75:253-64.
7. Erdelj M, Król M, Natalizio E (2017). Wireless Sensor Networks and Multi-UAV systems for natural disaster management. Computer Networks, 124:72-86.
8. Jagger JC. Disaster Management Policy and People with Disabilities in the United States and Jamaica [PhD thesis]. Virginia Commonwealth University, United States of America; 2011.
9. Kendig MR. Disaster Management for Socioeconomic Status Challenged Populations in the United States [PhD thesis]. University of Phoenix, United States of America; 2012.
10. Raj M. Energy aware and privacy preserving protocols for ad hoc networks with applications to disaster management [PhD thesis]. Missouri University of Science and Technology, United States of America; 2014.
11. Levius S, Safa M, Weeks K (2017). Research note for use of information and communication technology to support comprehensive disaster management in the Caribbean countries. J Inf Technol Case Appl Res, 19(2):113-20.
12. Blurton PC (1999). New Directions of ICT-Use in Education. Available from: www.unesco.org/education/lwf/dl/edict.pdf
13. Enakrire RT, Ocholla DN (2017). Information and communication technologies for knowledge management in academic libraries in Nigeria and South Africa. S Afr J Inf Manag, 19(1):a750.
14. Sallai G (2012). Defining infocommunications and related terms. Acta Polytech Hung, 9(6):5-15.
15. Kabra G, Ramesh A (2016). Information Technology, Mutual Trust, Flexibility, Agility, Adaptability: Understanding Their Linkages and Impact on Humanitarian Supply Chain Management Performance. Risk, Hazards Crisis Public Policy, 7(2):79-103.
16. International Telecommunication Union (2012). Radio Regulations. Available from: www.itu.int/pub/R-REG-RR-2012
17. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. PLoS Med, 6(7):e1000097.
18. Ishikawa H, Onuki H, Shinonaga H (2019). Method for detecting user positions with unmanned aerial vehicles based on doppler shifts. IEICE Trans Fund Electron Commun Comput Sci, E102A (1):195-204.
19. Jaeger PT, Langa LA, McClure CR, Bertot JC (2006). The 2004 and 2005 gulf coast hurricanes: Evolving roles and lessons learned for public libraries in disaster preparedness and community services. Public Libr Q, 25(3-4):199-214.
20. Kaur A, Sood SK (2019). Analytical mapping of research on disaster management, types and role of ICT during 2011–2018. Environ Hazards, 18(3):266-85.
21. Khasawneh A, Rogers H, Bertrand J, et al (2019). Human adaptation to latency in teleoperated multi-robot human-agent search and rescue teams. Autom Constr, 99:265-77.
22. Ogie RI, Clarke RJ, Forehead H, Perez P (2019). Crowdsourced social media data for disaster management: Lessons from the PetaJakarta.org project. Comput Environ Urban Syst, 73:108-17.
23. Semaan BC. Recovery, Resilience and Beyond: ICT Use During Ongoing Disruption [PhD thesis]. University of California, United States of America; 2011.
24. Stephenson R, Anderson PS (1997). Disasters and the information technology revolution. Disasters, 21(4):305-34.
25. Tolba A (2019). Content accessibility preference approach for improving service optimality in internet of vehicles. Comput Networks, 152:78-86.
26. Gutiérrez-Salcedo M, Martínez MÁ, Moral-Munoz JA, et al (2018). Some bibliometric procedures for analyzing and evaluating research fields. Appl Intell, 48(5):1275-87.
27. Hossain L, Karimi F, Wigand RT, Crawford JW (2015). Evolutionary longitudinal network dynamics of global zoonotic research. Scientometrics, 103(2):337-53.
28. Nees Jan van Eck, Ludo Waltman (2019). VOSviewer Manual. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.8.pdf
29. Gao Y, Wang Y, Zhai X, et al (2017). Publication trends of research on diabetes mellitus and T cells (1997–2016): A 20-year bibliometric study. PLoS One, 12(9):e0184869.
30. Allaire MC (2016). Disaster loss and social media: Can online information increase flood resilience? Water Resour Res, 52(9):7408-23.
31. Brugger H, Etter HJ, Zweifel B, et al (2007). The impact of avalanche rescue devices on survival. Resuscitation, 75(3):476-83.
32. Grasegger K, Strapazzon G, Procter E, et al (2016). Avalanche Survival after Rescue with the RECCO Rescue System: A Case Report. Wild Environ Med, 27(2):282-6.
33. Hohlrieder M, Mair P, Wuertl W, Brugger H (2005). The impact of avalanche transceivers on mortality from avalanche accidents. High Alt Med Biol, 6(1):72-77.
34. Uscher-Pines L, Fischer S, Tong I, et al (2018). Virtual First Responders: the Role of Direct-to-Consumer Telemedicine in Caring for People Impacted by Natural Disasters. J Gen Intern Med, 33(8):1242-1244.
35. Micire MJ (2008). Evolution and field performance of a rescue robot. J Field Robotics, 25(1-2):17-30.
36. Murphy RR, Stover S (2008). Rescue robots for mudslides: A descriptive study of the 2005 La Conchita mudslide response. J Field Robotics, 25(1-2):3-16.
37. Chen SW, Wang XS, Sato M (2016). Urban Damage Level Mapping Based on Scattering Mechanism Investigation Using Fully Polarimetric SAR Data for the 3.11 East Japan Earthquake. IEEE Trans Geosci Remote Sens, 54(12):6919-29.
38. Zhang Q, Zhang Y, Yang X, Su B (2014). Automatic recognition of seismic intensity based on RS and GIS: A case study in Wenchuan Ms8.0 earthquake of China. ScientificWorldJournal, 2014:878149.
39. Ge L, Ng AHM, Li X, et al (2015). Near real-time satellite mapping of the 2015 Gorkha earthquake, Nepal. Ann GIS, 21(3):175-90.
40. Laben C (2002). Integration of remote sensing data and geographic information system technology for emergency managers and their applications at the Pacific Disaster Center. Opt Eng, 41(9):2129-2136.
41. Tsai WF, Chen B, Chang JY, et al (2011). Application of near real-time and multiscale three dimensional earth observation platforms in disaster prevention. Int J Autom Smart Technol, 1(2):35-50.
42. Barnes CF, Fritz H, Yoo J (2007). Hurricane disaster assessments with image-driven data mining in high-resolution satellite imagery. IEEE Trans Geosci Remote Sens, 45(6):1631-1640.
43. Yang MD, Su TC, Hsu CH, et al (2007). Mapping of the 26 December 2004 tsunami disaster by using FORMOSAT-2 images. Int J Remote Sens, 28(13-14):3071-3091.
44. Takahashi B, Tandoc EC, Jr., Carmichael C (2015). Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines. Comput Hum Behav, 50:392-398.
45. Mauroner O, Heudorfer A (2016). Social media in disaster management: How social media impact the work of volunteer groups and aid organisations in disaster preparation and response. Int J Emerg Manag, 12(2):196-217.
46. Huang CM, Chan E, Hyder AA (2010). Web 2.0 and internet social networking: A new tool for disaster management? - Lessons from Taiwan. BMC Med Inform Decis Mak, 10:57.
47. Hibbin RA, Samuel G, Derrick GE (2018). From “a Fair Game” to “a Form of Covert Research”: Research Ethics Committee Members’ Differing Notions of Consent and Potential Risk to Participants Within Social Media Research. J Empir Res Hum Res Ethics, 13(2):149-159.
48. Diwakar PG, Jayaraman V, Bhanumurthy V, Ramalingam M (2009). Geospatial applications in Tsunami disaster management. Int J Ecol Dev, 12(W09):4-14.
49. Soden R, Palen L (2016). Infrastructure in the wild: What mapping in post-earthquake Nepal reveals about infrastructural emergence. 34th Annual Conference on Human Factors in Computing Systems, CHI 2016; pp.:2798-2807.
50. Rongier C, Lauras M, Galasso F, Gourc D (2013). Towards a crisis performance-measurement system. Int J Comput Integr Manuf, 26(11):1087-102.
51. Balcik B. Relief chain planning and management: modeling and analyzing humanitarian logistic problems [PhD thesis]. University of Washington, United States of America; 2008.
| Files | ||
| Issue | Vol 49 No 10 (2020) | |
| Section | Review Article(s) | |
| DOI | https://doi.org/10.18502/ijph.v49i10.4678 | |
| PMCID | PMC7719660 | |
| PMID | 33346227 | |
| Keywords | ||
| Information and communication technologies (ICTs) Natural disaster Disaster relief | ||
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How to Cite
1.
Lu B, Zhang X, Wen J. Real World Effectiveness of Information and Communication Technologies in Disaster Relief: A Systematic Review. Iran J Public Health. 2020;49(10):1813-1826.
