Enhancing Coronavirus Disease (COVID-19) Surveillance System through Information Technology, Thailand, 2020

Authors

  • Suphanat Wongsanuphat Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Thailand
  • Siriwat Sangwanloy Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Thailand
  • Prajak Sopha Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Thailand
  • Woraphong Buangsuang Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Thailand
  • Sataphat Denduang Information Technology Center, Department of Disease Control, Ministry of Public Health, Thailand
  • Aekachat Thongplean Information Technology Center, Department of Disease Control, Ministry of Public Health, Thailand
  • Voravit Payungkiatbawon Information Technology Center, Department of Disease Control, Ministry of Public Health, Thailand
  • Yongjua Laosiritaworn Information Technology Center, Department of Disease Control, Ministry of Public Health, Thailand
  • Sopon Iamsirithaworn Division of General Communicable Disease, Department of Disease Control, Ministry of Public Health, Thailand
  • Panithee Thammawijaya Division of Innovation and Research, Department of Disease Control, Ministry of Public Health, Thailand

DOI:

https://doi.org/10.59096/osir.v13i3.262804

Keywords:

coronavirus disease, surveillance system, information system, information technology, innovation

Abstract

Coronavirus disease (COVID-19) was designated as a dangerous communicable disease by law in Thailand. However, existing surveillance systems was not timely and accurate. Therefore, we conducted an innovation development research to improve the system. The research comprises two objectives; (i) to describe the existing surveillance system and its challenges, and (ii) to enhance surveillance system through the improvement of information technology. All related stakeholders, from the Department of Disease Control to hospitals, were engaged and communicated to identify the challenges of the surveillance system. Several challenges were reported, for instance, lack of timeliness, overload of verification, inaccessibility of data feedback, and difficulty of cluster identification. To overcome these challenges, five additional features were developed, tested, and implemented. These five features included auto-verification, laboratory reporting, data exporting, data visualization, and integration with the existing event-based surveillance. The system was tested by developers and users and implemented nationwide. The activities were made possible by several communication routes including chat, email, and teleconference. Early engagement of stakeholders, understanding of existing surveillance systems, and utilizing information technologies to solve challenges are substantially crucial. Our study provides a new opportunity for the improvement of the surveillance system during the period of travel restriction in many countries.

References

World Health Organization. Pneumonia of unknown cause - China [Internet]. Geneva; 2020 Jan 5 [cited 2020 May 5]. <https://www.who.int/csr/don/05-january-2020-pneumonia-of-unkown-cause-china/en/>

Namwat C, Suphanchaimat R, Nittayasoot N, Iamsirithaworn S. Thailand’s response against Coronavirus disease 2019: challenges and lessons learned. OSIR. 2020 Mar;13(1):33-7.

Thai Department of Disease Control. Emergency response operations document [Internet]. [cited 2020 Jun 13]. <https://ereports.boe.moph.go.th/ihr/wpcontent/uploads/2017/06/13.-Emergency-Response-Operations.pdf>

Tourism Authority of Thailand. Thai health authorities act rapidly to screen out pneumonia cases from China [Internet]. 2020 Jan 6 [cited 2020 May 5]. <https://www.tatnews.org/2020/01/thaihealth-authorities-act-rapidly-to-screen-outpneumonia-cases-from-china/>

Tourism Authority of Thailand. TAT update: Suvarnabhumi Airport steps up COVID-19 surveillance [Internet]. 2020 Mar 7 [cited 2020 May 5]. <https://www.tatnews.org/2020/03/tat-updatesuvarnabhumi-airport-steps-up-covid-19-surveillance>

Thai Department of Disease Control. Guideline for COVID-19 [Internet]. Nonthaburi; 2020 Mar 23 [cited 2020 May 5]. <https://ddc.moph.go.th/viralpneumonia/file/g_srrt/g_srrt_250363.pdf>

Thai Department of Medical Sciences. Manual of COVID-19 laboratory detection [Internet].Nonthaburi. 2020 [cited 2020 May 5]. <https://www3.dmsc.moph.go.th/postview/680>

Thacker SB, Qualters JR, Lee LM. Public health surveillance in the United States: evolution and challenges. MMWR Suppl. 2012 Jul 27;61(3):3-9.

Richards CL, Iademarco MF, Atkinson D, Pinner RW, Yoon P, Mac Kenzie WR, et al. Advances in public health surveillance and information dissemination at the Centers for Disease Control and Prevention. Public Health Rep. 2017 Jul/Aug;132(4):403-10.

Heisey-Grove D, Wall HK, Helwig A, Wright JS. Using electronic clinical quality measure reporting for public health surveillance. MMWR Morb Mortal Wkly Rep. 2015 May 1;64(16):439-42.

Centers for Disease Control and Prevention. Healthcare associated infection (HAI) progress report: 2018 national and state healthcare-associated infections progress report [Internet]. 2019 Nov 1 [cited 2020 May 5]. <https://www.cdc.gov/hai/data/portal/progressreport.html>

Centers for Disease Control and Prevention. Data [Internet]. 2017 [cited 2020 May 5]. <https://data.cdc.gov>

Centers for Disease Control and Prevention. Injury prevention and control: data and statistics WISQARS [Internet]. Atlanta: Centers for Disease Control and Prevention; 2017 [cited 2020 Jun13]. <https://www.cdc.gov/injury/wisqars/index.html>

Centers for Disease Control and Prevention. NCHS data visualization pilot [Internet]. Atlanta: Centers for Disease Control and Prevention; 2017 [cited 2020 Jun 13]. <https://blogs.cdc.gov/nchs-datavisualization>

Mondor L, Brownstein JS, Chan E, Madoff LC, Pollack MP, Buckeridge DL, et al. Timeliness of nongovernmental versus governmental global outbreak communications. Emerg Infect Dis. 2012; 18(7): 1184-7.

Clara A, Do TT, Dao A, Tran PD, Dang TQ, Tran QD, et al. Event-based surveillance at community and healthcare facilities, Vietnam, 2016-2017. Emerg Infect Dis 2018; 24:1649-58.

Stone E, Miller L, Jasperse J, Privette G, Diez Beltran JC, Jambai A, et al. Community event-based surveillance for Ebola virus disease in Sierra Leone: implementation of a national-level system during a crisis. PLoS Curr. 2016;8:ecurrents.outbreaks.d119c71125b5cce312b9700d744c56d8.

Ratnayake R, Crowe SJ, Jasperse J, Privette G, Stone E, Miller L, et al. Assessment of community event–based surveillance for Ebola virus disease, Sierra Leone, 2015. Emerg Infect Dis. 2016;22(8):1431-7.

United Nations Office for the Coordination of Humanitarian Affairs. Evaluation of the functionality and effectiveness of community event-based surveillance (CEBS) in Sierra Leone, February - June 2015 - Sierra Leone [Internet]. ReliefWeb. [cited 2020 Jul 10]. <https://reliefweb.int/report/sierraleone/evaluation-functionality-andeffectiveness-community-event-basedsurveillance>

Ong MS, Magrabi F, Coiera E. Delay in reviewing test results prolongs hospital length of stay: a retrospective cohort study. BMC Health Serv Res. 2018;18(1):369.

Ong MS, Magrabi F, Jones G, Coiera E. Last orders: follow-up of tests ordered on the day of hospital discharge. Arch Intern Med 2012;172(17):1347-9.

Edelstein M, Lee LM, Herten-Crabb A, Heymann DL, Harper DR. Strengthening global public health surveillance through data and benefit Sharing. Emerg Infect Dis. 2018;24(7):1324-30.

Huh S. How to train health personnel to protect themselves from SARS-CoV-2 (novel coronavirus) infection when caring for a patient or suspected case. J Educ Eval Health Prof. 2020; 17:10.

Lai X, Wang M, Qin C, Tan L, Ran L, Chen D, et al. Coronavirus disease 2019 (COVID-2019) infection among health care workers and implications for prevention measures in a tertiary hospital in Wuhan, China. JAMA Netw Open. 2020;3(5): e209666.

Wang J, Zhou M, Liu F. Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China. J Hosp Infect. 2020;105(1):100-1.

Washko RM, Frieden TR. Tuberculosis surveillance using death certificate data, New York City, 1992. Public Health Rep. 1996;111:251-5.

Huaman MA, Araujo-Castillo RV, Soto G, Neyra JM, Quispe JA, Fernandez MF, et al. Impact of two interventions on timeliness and data quality of an electronic disease surveillance system in a resource limited setting (Peru): a prospective evaluation. BMC Med Inform Decis Mak. 2009; 9:16.

Dailey L, Watkins RE, Plant AJ. Timeliness of data sources used for influenza surveillance. J Am Med Inform Assoc. 2007; 14:626-31.

Jackson ML, Baer A, Painter I, Duchin J. A simulation study comparing aberration detection algorithms for syndromic surveillance. BMC Med Inform Decis Mak. 2007; 7:6.

Chisha Z, Larsen DA, Burns M, Miller JM, Chirwa J, Mbwili C, et al. Enhanced surveillance and data feedback loop associated with improved malaria data in Lusaka, Zambia. Malar J 2015;14(1).

Kuehne A, Keating P, Polonsky J, Haskew C, Schenkel K, Waroux OLPD, et al. Event based surveillance at health facility and community level in low-income and middle-income countries: a systematic review. BMJ Global Health 2019;4: e001878.

World Health Organization. Early detection, assessment and response to acute public health events: implementation of early warning and response with a focus on eventbased surveillance. Geneva: World Health Organization; 2014.

Simba DO, Mwangu M. Application of ICT in strengthening health information systems in developing countries in the wake of globalisation. Afr Health Sci. 2004 Dec;4(3):194-8.

Hackett J, Madden DL, Viney KA, Naylor C-J. Evaluation of three population health capacity building projects delivered by videoconferencing in NSW. N S W Public Health Bull. 2009 Nov-Dec;20(11-12):182-6.

Published

2020-09-30

How to Cite

Wongsanuphat, S., Sangwanloy, S., Sopha, P., Buangsuang, W., Denduang, S., Thongplean, A., Payungkiatbawon, V., Laosiritaworn, Y., Iamsirithaworn, S., & Thammawijaya, P. (2020). Enhancing Coronavirus Disease (COVID-19) Surveillance System through Information Technology, Thailand, 2020. Outbreak, Surveillance, Investigation & Response (OSIR) Journal, 13(3), 90–100. https://doi.org/10.59096/osir.v13i3.262804

Issue

Section

Original article