Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-10T04:59:38.570Z Has data issue: false hasContentIssue false
  • English
  • Français

Infectious Disease Information Collection System at the Scene of Disaster Relief Based on a Personal Digital Assistant

Published online by Cambridge University Press:  29 February 2016

Ya-Pin Li ,
Hong-Wei Gao ,
Hao-Jun Fan ,
Wei Wei ,
Bo Xu ,
Wen-Long Dong ,
Qing-Feng Li ,
Wen-Jing Song  and
Shi-Ke Hou
Ya-Pin Li
Affiliation:
Key Laboratory of Emergency and Disaster Medicine in Chinese People’s Liberation Army (PLA), Tianjin, China The Center for Disease Control and Prevention of Beijing Military Region, Beijing, China
Hong-Wei Gao*
Affiliation:
Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People’s Armed Police Force (PAP), Tianjin, China Key Laboratory of Emergency and Disaster Medicine in Chinese People’s Liberation Army (PLA), Tianjin, China
Hao-Jun Fan
Affiliation:
Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People’s Armed Police Force (PAP), Tianjin, China Key Laboratory of Emergency and Disaster Medicine in Chinese People’s Liberation Army (PLA), Tianjin, China
Wei Wei
Affiliation:
Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People’s Armed Police Force (PAP), Tianjin, China Key Laboratory of Emergency and Disaster Medicine in Chinese People’s Liberation Army (PLA), Tianjin, China
Bo Xu
Affiliation:
The PLA University of Science and Technology, Nanjing, China.
Wen-Long Dong
Affiliation:
Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People’s Armed Police Force (PAP), Tianjin, China Key Laboratory of Emergency and Disaster Medicine in Chinese People’s Liberation Army (PLA), Tianjin, China
Qing-Feng Li
Affiliation:
The Center for Disease Control and Prevention of Beijing Military Region, Beijing, China
Wen-Jing Song
Affiliation:
The Center for Disease Control and Prevention of Beijing Military Region, Beijing, China
Shi-Ke Hou
Affiliation:
Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People’s Armed Police Force (PAP), Tianjin, China Key Laboratory of Emergency and Disaster Medicine in Chinese People’s Liberation Army (PLA), Tianjin, China
*
Correspondence and reprint requests to Hong-Wei Gao, Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People’s Armed Police Force (PAP), 220 Chenglin Street, Hedong district, Tianjin, China (e-mail: gaohongweibj@163.com).
Get access Rights & Permissions [Opens in a new window]

Abstract

Objective

The objective of this study was to build a database to collect infectious disease information at the scene of a disaster through the use of 128 epidemiological questionnaires and 47 types of options, with rapid acquisition of information regarding infectious disease and rapid questionnaire customization at the scene of disaster relief by use of a personal digital assistant (PDA).

Methods

SQL Server 2005 (Microsoft Corp, Redmond, WA) was used to create the option database for the infectious disease investigation, to develop a client application for the PDA, and to deploy the application on the server side. The users accessed the server for data collection and questionnaire customization with the PDA.

Results

A database with a set of comprehensive options was created and an application system was developed for the Android operating system (Google Inc, Mountain View, CA). On this basis, an infectious disease information collection system was built for use at the scene of disaster relief. The creation of an infectious disease information collection system and rapid questionnaire customization through the use of a PDA was achieved.

Conclusions

This system integrated computer technology and mobile communication technology to develop an infectious disease information collection system and to allow for rapid questionnaire customization at the scene of disaster relief. (Disaster Med Public Health Preparedness. 2017;11:668–673)

Keywords

disaster relief sceneinfectious diseaseinformation collectionPDA
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 11 , Issue 6 , December 2017 , pp. 668 - 673
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Dr Li and Prof Gao contributed equally to this work.

References

1. Babaie, J, Farin, F, Ardalan, A, et al. Communicable diseases surveillance system in East Azerbaijan Earthquake: strengths and weaknesses [published online ahead of print December 8, 2014]. PLoS Curr. doi: http://dx.doi.org/10.1371/currents.dis.9085e38035f25b34f093f357ac2c3973.Google Scholar
2. Xing, W, Hejblum, G, Valleron, AJ. EpiBasket: how e-commerce tools can improve epidemiological preparedness [published online October 31, 2013]. Emerg Health Threats J. doi: 10.3402/ehtj.v6i0.19748.Google Scholar
3. Guo, Y, Su, XM. Mobile device-based reporting system for Sichuan Earthquake-affected areas infectious disease reporting in China. Biomed Environ Sci. 2012;25(6):724-729.Google Scholar
4. Law of the People’s Republic of China on the Prevention and Treatment of Infectious Diseases (English version). http://en.ciqcid.com/Technical/National/43389.htm. Published March 16, 2010. Accessed October 28, 2015.Google Scholar
5. Aung, E, Whittaker, M. Preparing routine health information systems for immediate health responses to disasters. Health Policy Plan. 2013;28(5):495-507. http://dx.doi.org/10.1093/heapol/czs081.Google Scholar
6. Brandeau, ML, McCoy, JH, Hupert, N, et al. Recommendations for modeling disaster responses in public health and medicine: a position paper of The Society for Medical Decision Making. Med Decis Making. 2009;29(4):438-460. http://dx.doi.org/10.1177/0272989X09340346.Google Scholar
7. Bernabe-Ortiz, A, Curioso, WH, Gonzales, MA, et al. Handheld computers for self-administered sensitive data collection: a comparative study in Peru [published online March 19, 2008]. BMC Med Inform Decis Mak. doi: http://dx.doi.org/10.1186/1472-6947-8-11.Google Scholar
8. Majumdar, A, Kar, SS, SGK et al. mHealth in the prevention and control of non-communicable diseases in India: current possibilities and the way forward. J Clin Diagn Res. 2015;9(2):LE06-LE10.Google Scholar
9. Blaya, JA, Gomez, W. Rodriguez, P, et al. Cost and implementation analysis of a personal digital assistant system for laboratory data collection. Int J Tuberc Lung Dis. 2008;12(8):921-927.Google ScholarPubMed
10. Shirima, K, Mukasa, O, Schellenberg, JA, et al. The use of personal digital assistants for data entry at the point of collection in a large household survey in southern Tanzania [published online June 1, 2007]. Emerg Themes Epidemiol. doi:http://dx.doi.org/10.1186/1742-7622-4-5.Google Scholar
11. We Help People Live the Healthiest Life Possible. Voxiva website. http://www.voxiva.com/. Accessed March 31, 2015.Google Scholar
12. Mykhalovskiy, E, Weir, L. The Global Public Health Intelligence Network and early warning outbreak detection: a Canadian contribution to global public health. Can J Public Health. 2006;97(1):42-44.CrossRefGoogle ScholarPubMed
13. Farrahi, K, Emonet, R, Cebrian, M. Epidemic contact tracing via Communication Traces. PLoS One. 2014;9(5):e95133. http://dx.doi.org/10.1371/journal.pone.0095133.Google Scholar
14. Chunara, R, Smolinski, MS, Brownstein, JS. Why we need crowdsourced data in infectious disease surveillance. Curr Infect Dis Rep. 2013;15(4):316-319. http://dx.doi.org/10.1007/s11908-013-0341-5.Google Scholar
15. Global Health. CDC website. http://www.cdc.gov/globalhealth/index.html. Accessed March 31, 2015.Google Scholar