مورد إلكتروني
Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia
| العنوان: | Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia |
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| بيانات النشر: | 2021-10 |
| تفاصيل مُضافة: | Mohidem, Nur Adibah |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Background: Tuberculosis (TB) cases have increased drastically over the last two decades and remains as one of the deadliest infectious diseases in Malaysia. Preventing and controlling the disease is not only depend on molecular epidemiology but there is also a need to explicitly understand spatial epidemiology, which assesses the distribution of disease in different locations. However, there is a lack of studies clarifying the spatial evaluation of both sociodemographic and environmental factors with the TB cases in the country. Objective: This study utilized the geospatial technologies i) to investigate the trend and spatial pattern of TB cases; ii) to investigate the spatial distribution of TB cases and its association with the sociodemographic and environmental factors; iii) to develop the prediction model of TB cases; and iv) to develop a web-GIS application for plotting TB cases. Methodology: The sociodemographic data of 3325 cases of TB such as age, gender, race, nationality, country of origin, educational level, employment status, health care worker status, income status, residency, and smoking status from January 2013 to December 2017 in Gombak were collected from the MyTB web and Tuberculosis Information System (TBIS) file. Environmental data consisting of air pollution data such as air quality index (AQI), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2), and particulate matter 10 (PM10) were obtained from the Department of Environment Malaysia from July 2012 to December 2017, whereas weather data such as rainfall were obtained from the Department of Irrigation and Drainage Malaysia and relative humidity, temperature, wind speed, and atmospheric pressure were obtained from the Malaysian Meteorological Department in the same period. Global Moran’s I, kernel density estimation, and Getis-Ord Gi* statistics were applied to identify the spatial pattern of TB cases. Ordinary least squares (OLS) and geographically weighted regression (GWR) mo |
| مصطلحات الفهرس: | Tuberculosis - ethnology, Thesis, NonPeerReviewed |
| URL: | |
| الإتاحة: | Open access content. Open access content |
| ملاحظة: | text English |
| أرقام أخرى: | MYPUT oai:psasir.upm.edu.my:103773 Mohidem, Nur Adibah (2021) Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia. Doctoral thesis, Universiti Putra Malaysia. 1391302492 |
| المصدر المساهم: | UNIVERSITI PUTRA MALAYSIA From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1391302492 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |