Mapping the Pattern of Spread of Tuberculosis Cases using Spatio-Temporal Approach in Makassar – South Sulawesi

Resha, Muhammad; Suyuti, Ansar; Sadjad, Rhiza S.; Niswar, Muhammad

doi:10.1109/ic3ina48034.2019.8949595

Cited by 3 publications

(2 citation statements)

References 8 publications

(8 reference statements)

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“…At present, tuberculosis is spread all over Sudan without exception, and unfortunately, the highest infection rates are in the capital, Khartoum, between productive age groups from age 15 to 44 [ 11 , 12 ]. Table 1 shows the number of tuberculosis cases in Sudan during the year 2013, according to the World Health Organization (WHO) report [ 13 ].…”

Section: Problem Formulation and Statementmentioning

confidence: 99%

[Retracted] Development of Health Digital GIS Map for Tuberculosis Disease Distribution Analysis in Sudan

Siddik

Ahmed

et al. 2023

Journal of Healthcare Engineering

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Health digital GIS map provides a great solution for medical geographical distribution to efficiently explore diseases and health services. In Sudan, tuberculosis disease is expanding in different areas, which requires a digital GIS map to collect information about the patients and support medical institutions by geographical distribution based on health services, drug supply, and consumption. This paper developed a health digital GIS map to provide a fair geographical distribution of tuberculosis health centers and control the drug supply according to medical reports. The proposed approach extracts the unfair distribution of medicine, as some centers receive medicine but do not receive patients, while others receive a large number of patients but limited amounts of medicine. The analysis results show that there is a defect in some states representing the distribution of tuberculosis centers. In the Northern State, there are 15 tuberculosis centers distributed over all localities, serving about 84 tuberculosis-infected patients only.

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Section: Problem Formulation and Statementmentioning

confidence: 99%

[Retracted] Development of Health Digital GIS Map for Tuberculosis Disease Distribution Analysis in Sudan

Siddik

Ahmed

et al. 2023

Journal of Healthcare Engineering

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“…First, lack of research on emerging infectious diseases: at present, the research is mainly focused on retrospective model research, focusing on seasonal and periodic infectious diseases, such as influenza [18], [19] and malaria [20], etc., and insufficient research on new explosive infectious diseases [21], such as SARS, H1N1 and novel coronavirus infection. Second, insufficient spatial precision of the study: GeoAI related studies take regions and countries as research units [22], [23]. The spatial precision is insufficient to focus on the interaction between individuals, and the mutual contact between individuals is an important way for the occurrence and spread of infectious diseases.…”

Section: Related Workmentioning

confidence: 99%

GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain

Peng

Bai

Xiong

et al. 2021

2020 IEEE International Conference on E-Health Networking, Application &Amp; Services (HEALTHCOM)

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Epidemics especially those caused by major contagious diseases have entailed huge losses in human history. The fights have thus never stopped to prevent pandemics. Due to its acute outbreak, is generally susceptible to the population regardless of ages, so strict quarantine of the infections becomes the most effective means for the epidemic control, which has been proved in the prevention of other contagious diseases such as SARS and H1N1. The key strategy widely used to find infected and suspected patients is still the epidemiological tracking of confirmed cases. However, this may fail to identify infections especially when patients do not show any symptoms. Therefore, the approach to rapid, effective, and simple infection identification is essential to prevent the spread of a contagious disease. This paper proposes to leverage a social apps and Geospatial artificial intelligence (GeoAI) with Blockchain to effectively identify infections with privacy concern. Since people widely use social apps, a large scale of social data with geospatial information could be easily collected and kept on Blockchain with privacy preservation, which thus provides a framework of decentralized, tamper-proof, and privacy-preserved information sharing. With the support of GeoAI, which analyzes the spatial distribution of diseases from the shared data, we could study the influence factors based on spatial propagation of contagious diseases for infection identification. Since WeChat is widely used in China, we take COVID-19 as an example to use the experiments on real-life datasets demonstrate the effectiveness of our method, and provide insight into epidemic control in terms of geo-social data sharing.

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Mobile Health Application Design: A User-Centered Approach for Pulmonary Tuberculosis Screening

Samiaji,

Masruroh,

Khairani

et al. 2023

2023 11th International Conference on Cyber and IT Service Management (CITSM)

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Mapping the Pattern of Spread of Tuberculosis Cases using Spatio-Temporal Approach in Makassar – South Sulawesi

Cited by 3 publications

References 8 publications

[Retracted] Development of Health Digital GIS Map for Tuberculosis Disease Distribution Analysis in Sudan

[Retracted] Development of Health Digital GIS Map for Tuberculosis Disease Distribution Analysis in Sudan

GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain

Mobile Health Application Design: A User-Centered Approach for Pulmonary Tuberculosis Screening

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