A Conceptual Paper: Model of Integrated Surveillance System of Tuberculosis Based on the Internet of Things (IoT) for Accelerating Indonesia Free Tuberculosis in 2030

Loading...
Thumbnail Image
File version

Accepted Manuscript (AM)

Author(s)
Handayani, S
Hinchcliff, R
Zami, FA
Hasibuan, ZA
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2022
Size
File type(s)
Location

Semarang, Indonesia

License
Abstract

Tuberculosis (TB) remains a public health problem in the world. Second disease causing death after Covid-19. In 2020, case findings of TB cases in Indonesia slightly decreased compared to 2019, from 568.987 to 351.936 cases. To combat the disease, Indonesia has adopted the End TB program, targeting to reduce TB incidence to 65 cases per 100,000 population by 2030. At the same time, many challenges need to be overcome, such as low coverage of TB treatment, delay of diagnosis and treatment, and other factors associated. This paper aims to propose a model of an Integrated Surveillance System of Tuberculosis Based on the Internet of Things (IoT). The research will employ the End-to-End Life Cycle Automation System approach. Data collection will use two sources of data, primary and secondary data. The various research instruments (Questionnaire, interview guidelines, checklist observation, and IoT) will be used to capture primary data in this research. Secondary data sources will use reports of TB in multilevel (district/city, province, and national level), medical records of TB patients, news of TB prevention and treatment programs, demography and geography information, and poverty level. The data will produce a model of an integrated surveillance system. The field test will be conducted on the design and continuously improved based on the result. The information provided by the system will be available on a dashboard as a data visualization that can be easily accessed. This system will provide rapid and precise analysis to help the government achieve the Free TB agenda 2030. The system will help develop an effective and efficient TB prevention program in the community for health services based on their need.

Journal Title
Conference Title

2022 International Seminar on Application for Technology of Information and Communication (iSemantic)

Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Item Access Status
Note
Access the data
Related item(s)
Subject

Public health

Health policy

Respiratory diseases

Health surveillance

Disease surveillance

Persistent link to this record
Citation

Handayani, S; Hinchcliff, R; Zami, FA; Hasibuan, ZA, A Conceptual Paper: Model of Integrated Surveillance System of Tuberculosis Based on the Internet of Things (IoT) for Accelerating Indonesia Free Tuberculosis in 2030, 2022 International Seminar on Application for Technology of Information and Communication (iSemantic), 2022, pp. 431-435