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All Journal Window of Health : Jurnal Kesehatan Jurnal Epidemiologi Kesehatan Indonesia
Aryani, Desfalina
Unknown Affiliation
Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Machine Learning Approach to Predict the Dengue Cases Based on Climate Factors Nasir, Muhammad; Aldillah Wulandhari, Shobiechah; Tenrisau, Dhihram; Haris Ibrahim, Muhammad; Rahastri, Ajeng; Sa’adatar Rohmah, Nilna; Surya, Asik; Thohir, Burhanuddin; Aryani, Desfalina; Firdaus Kasim, Muhammad
Window of Health : Jurnal Kesehatan Vol 7 No 2 (April 2024)
Publisher : Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/woh.vi.1428

Abstract

Dengue is a global health issue threatening public health, particularly in developing countries. Effective disease surveillance is critical to anticipate impending outbreaks and implement appropriate control responses. However, delays in dengue case reporting are frequent due to human resource shortfalls. Improved outbreak predictive capacity also requires additional input on vector presence and abundance, which is currently not captured in the surveillance platform. Thus, we developed a prototype AI application, “Dengue Forecasting", that leverages machine learning methods in filing the dengue case report and incorporates dengue vector and climatic parameters. This application simplifies the recording of dengue cases, vector abundance (Angka Bebas Jentik/ABJ), and selected climatic variables (sun exposure, temperature, humidity, wind speed, and precipitation) in Bandung City. The relevant data were extracted from Indonesia’s Ministry of Health and the Meteorological, Climatological, and Geophysical Agency. The entire process, from developing the model to deployment, was conducted under R programming language version 4.2.2 using packages (caret, shiny.io). The linear regression model demonstrated the highest precision (RMSE= 268.32 and MAE= 164.1) in predicting the dengue cases and outbreaks. We also applied this to the application deployment. “Dengue Forecasting” has the potential to assist policymakers at the district level, complementing Dengue EWARS, in anticipating and mitigating dengue outbreaks, especially in Bandung City.
Activities of Daily Living Limitations in Middle-aged and Older Adults with Joint Disorders and Osteoporosis: Indonesia Longitudinal Aging Survey 2023 Aryani, Desfalina; M. Irzal, Mufti As Siddiq As Siddiq; Sianipar, Agustina
Jurnal Epidemiologi Kesehatan Indonesia
Publisher : UI Scholars Hub

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Abstract

Population ageing is associated with an increasing prevalence of limitations in activities of daily living. Joint disorders and osteoporosis are common health problems among older adults and may begin to emerge during middle age, potentially accelerating functional decline. However, studies examining the association between these conditions and limitations in activities of daily living in Indonesia remain limited. This study aimed to analyse the association between joint disorders and osteoporosis and limitations in activities of daily living among middle-aged and older adults in Indonesia. This study employed a cross-sectional design using data from the Indonesia Longitudinal Aging Survey (ILAS) 2023. The sample consisted of 4,084 respondents aged ≥45 years from nine provinces in Indonesia. Limitations in activities of daily living were assessed using the Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) instruments, whereas the main independent variables, joint disorders and osteoporosis, were identified through doctor-confirmed self-reported diagnoses. Data were analysed using logistic regression models. The prevalence of ADL limitations was 9.4%, while IADL limitations were reported in 65.4% of respondents. After adjusting for sociodemographic factors, joint disorders (adjusted odds ratio [aOR] = 1.91; 95% CI: 1.46-2.51) and osteoporosis (aOR = 4.11; 95% CI: 2.41-7.01) remained associated with ADL limitations. However, both conditions were no longer associated with IADL limitations. Lower educational attainment and unemployment status were associated with IADL limitations.Joint disorders and osteoporosis are associated with limitations in basic functioning (ADL), whereas limitations in instrumental functioning (IADL) are more influenced by sociodemographic factors. Disability prevention strategies should integrate clinical management and social interventions to maintain independence among older adults. Keywords: Older Adults, Joint Disorders, Osteoporosis, Activities Of Daily Living, Instrumental Activities Of Daily Living
Co-Authors agustina sianipar Aldillah Wulandhari, Shobiechah Firdaus Kasim, Muhammad Haris Ibrahim, Muhammad M. Irzal, Mufti As Siddiq As Siddiq Rahastri, Ajeng Rony, Zahara Tussoleha Sa’adatar Rohmah, Nilna Surya, Asik Tenrisau, Dhihram Thohir, Burhanuddin