Spatial Mapping and Analysis of Tuberculosis Cases in Kuala Lumpur, Malaysia

Tuberculosis (TB) is one of the serious health problems in Malaysia, especially in a crowded area. This disease has become increasingly important as public health concerns with the development and progress that has been achieved in this country. Due to high number of cases reported each year, Malaysia should take precautionary actions to reduce the number of cases. Spatial analysis of TB cases can be performed using geospatial approach such as Geographical Information System (GIS). The aim of this study is to analyse the spatial distribution and identify spatial pattern of TB cases in Kuala Lumpur (KL), Malaysia. The high-risk area and spatial of the TB outbreak in KL were mapped using hot spot analysis. Spatial statistical methods were also used with Average Nearest Neighbor Distance and Spatial Autocorrelation (Moran I). The relationships between demographic distributions was analysed and the outbreak distribution pattern was also identified. The result shows that the main clustering area of tuberculosis cases in Kuala Lumpur is concentrated in Bandar Tun Razak. This main township is not only known as a crowded area, but it is also surrounded by a rapid physical urban development.

[1]  Alamah Misni,et al.  Socio-Environmental Factors and Tuberculosis: an Exploratory Spatial Analysis in Peninsular Malaysia , 2018, International Journal of Engineering & Technology.

[2]  Daniel Bingi,et al.  Spatial Analysis of Cervical Cancer and Correlated Factors , 2018 .

[3]  N. Bragazzi,et al.  The history of tuberculosis: from the first historical records to the isolation of Koch's bacillus , 2017, Journal of preventive medicine and hygiene.

[4]  Osman Elbek,et al.  Ethical Issues in Tuberculosis Control. , 2015, Turkish thoracic journal.

[5]  R. Reulke,et al.  Remote Sensing and Spatial Information Sciences , 2005 .

[6]  Abdul Rauf Abdul Rasam,et al.  Mapping risk areas of tuberculosis using knowledge-driven GIS model in Shah Alam, Malaysia , 2017 .

[7]  Malancha Karmakar,et al.  Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review , 2018, BMC Medicine.

[8]  K. Zaman,et al.  Tuberculosis: A Global Health Problem , 2010, Journal of health, population, and nutrition.

[9]  Abdul Rauf Abdul Rasam,et al.  Spatial and Statistics for Profiling Risk Factors of Diseases: A Case Study of Tuberculosis in Malaysia , 2019, IOP Conference Series: Earth and Environmental Science.

[10]  Fanjasoa Rakotomanana,et al.  Spatial Analysis of Pulmonary Tuberculosis in Antananarivo Madagascar: Tuberculosis-Related Knowledge, Attitude and Practice , 2014, PloS one.

[11]  Abdul Rauf Abdul Rasam,et al.  Disease Mapping and Health Analysis Using Free and Open Source Software for Geospatial (FOSS4G): An Exploratory Qualitative Study of Tuberculosis , 2020 .