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Overview of Chatbot Usage on Mental Health: A Scoping Review Permatasari, Ririn Indah; Artha, Dian Parama; Wiratama, Bayu Satria; Wulandari, Hanifah
BKM Public Health and Community Medicine The 12th UGM Public Health Symposium
Publisher : Universitas Gadjah Mada

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Purpose: Mental disorders are the second leading global health burden among adolescents (15-19 years) and the third among adults (20-39 years). One approach to mitigate the medical and socio-economic impacts of mental disorders is the use of digital health technology, including chatbots. Methods: This study aimed to map mental health chatbot technology use through a scoping review. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extensions for Scoping Reviews (PRISMA-ScR) guidelines and involved PubMed, Scopus, ScienceDirect, and Google Scholar searches. The studies were categorized by type of usage, including acceptability, effectiveness, usability, adoption, and features. Study selection was assisted by Rayyan, and data extraction used a narrative approach. Results: Out of 172 research articles, 21 met the inclusion criteria and evaluated the use of mental health chatbots. Most chatbots were standalone applications (10/21). Adults (11/21) and university students (6/21) were the primary populations for testing chatbot usage. The most common mental health issues targeted by chatbots were anxiety, depression, and stress, although the focus was generally ideal for a range of mental health conditions. Conclusion: Numerous chatbots have been used for various mental health disorders, serving multiple purposes such as prevention, training, and therapy. Most applications combine these functions. Further research is needed to understand the changes that occur following mental health chatbot interventions.
Epidemiological Characteristics of Pertussis in Bantul District 2023: a Descriptive Study Reza Firdaus, Muhammad; Aryanto, Samsu; Wiratama, Bayu Satria
BKM Public Health and Community Medicine The 12th UGM Public Health Symposium
Publisher : Universitas Gadjah Mada

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Purpose: This study aims to determine the distribution of characteristics of pertussis patients in Bantul District. Method: A descriptive study using data on PERT-02 form at Bantul District Health Office in 2023 was conducted to observe demographics (age, gender, address), initially identified status and date of illness, transmission clusters obtained from investigation reports, and pertussis infection status. Diagnostic test for Pertussis was done using a nasopharyngeal swab and tested using Polymerase Chain Reaction (PCR). Proportion was used for univariate analysis and a spatial descriptive analysis was done to see the distribution of cases by sub-districts. Results: 130 people were identified as Pertussis suspects, of which 20 people (15.38%) were positive for Bordetella pertussis. Among cases, 16 people (80%) were male and 7 people (35%) were un-immunized infants of which 5 people (25%) were less than 2 months old and not yet immunized. There were 11 (55%) cases who were close contacts and eight people (72,7%) came from the school cluster. Symptoms in cases included coughing (68,4), whooping (31,6%), vomiting (26,3%), and apnoea (26,3%), and there were 6 people (30%) with no symptoms at all who were close contacts at baseline. Cases were spread across 7 sub-districts (41%) in Bantul district. The first case appeared in Mei 2023 and continued to increase until December 2023 with most cases occurring in August (25%) and November (25%). Conclusion: Males, un-immunized and school clusters were the dominant characteristics of pertussis patients in Bantul District. Cross-sectoral support such as schools needs to be improved because considering that most transmission occurs in schools, in addition to the knowledge of parents and teachers needs to be improved because many cases start as close contacts, which means prevention and control of pertussis has not been done optimally.
Understanding HIV/AIDS Prevalence in Salatiga City, Central Java: 2021-2023 Epidemiological Report A'yun Hafisyah Wafi; Yulietta Avianty; Wahyu Hudoyoko; Bayu Satria Wiratama
BKM Public Health and Community Medicine The 12th UGM Public Health Symposium
Publisher : Universitas Gadjah Mada

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Purpose: The aim of this study is to describe the epidemiology of HIV/AIDS cases in Salatiga City, Central Java. Methods: This study utilized secondary data from HIV/AIDS Information System (SIHA) of Salatiga from 2021-2023. Data were analyze descriptively according to risk factors and characteristics. Populations at-risk are FSWs (Female Sex Workers), MSM (Male Sex Male), transgenders, STI (Sexually Transmitted Infection) patients, Intravenous Drug Users, pregnant woman, TB patients and prison inmates. Results: During 2021-2023, 294 new HIV/AIDS cases were found in Salatiga City. Screening was conducted regularly to this at-risk-populations with the results of the positivity rate as follows: 0.06% among pregnant women; 3.5% among TB patients; 0.9% among FSWs; 3% among MSM; 0.5% among IDUs; and 0% among other groups. During this period, HIV/AIDS transmission was most prevalent among MSM (69%), followed by TB patients (17%) and FSWs (9%). From all of HIV/AIDS in 2021-2023, the the transmission was more prevalent among men (77%). Based on age group, early to late adulthood with age range of 26-45 years had the highest proportion (48%), followed by aged ≥46 years (29%). The percentage of people living with HIV/AIDS (PLWHA) who initiated ART in 2021 was only 66%, in 2022 was 90%, and in 2023 was 98%. However, by December 2023, based on the cascade, there were only 276 PLWHA (15% of the estimated) were on ART. Most of HIV/AIDS cases were diagnosed at Ario Wirawan Lung Hospital (43%) and Salatiga General Hospital (26%). Conclusions: This study highlights the trends and gaps in epidemiology of HIV/AIDS in Salatiga with high prevalence among MSM, TB patients and adults aged 26-45. Despite improvements in ART initiation from 2021 to 2023, continous treatment of PLWHA remains a challenge. Targeted interventions, expanded screening, and enhanced health facility capacities are crucial to adress this problem.
Examining the Impact of Rainfall Patterns on Leptospirosis Cases in Bantul District, Indonesia: A Four-Year Ecology Study 2020-2023 Saadatar Rohmah, Nilna; Samsu Aryanto; Bayu Satria Wiratama
BKM Public Health and Community Medicine The 12th UGM Public Health Symposium
Publisher : Universitas Gadjah Mada

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Purpose: This study aimed to explore the correlation between rainfall patterns and the incidence of human leptospirosis in Bantul District, Indonesia. Method: The study utilized an ecological design analyzing leptospirosis cases in Bantul District from 2020 to 2023, sourced from the Health Department of Bantul District and Rainfall Trends data from the online central database of the Meteorology, Climatology, and Geophysics Agency (BMKG), especially in Station Climatology DI Yogyakarta. Results: The study identified a total of 489 cases from 2020-2023, with 80 cases of leptospirosis in 2020, 53 cases in 2021, 167 cases in 2022, and 269 cases in 2023 disaggregated towards male (86,91%), than female (13,09%). The majority of leptospirosis patients in Bantul District were middle-aged, with many of them recovering after treatment in various healthcare facilities in the area, although there have been some recorded 43 cases of death. The linear regression analysis revealed a coefficient of 1.3604 (95% CI: 0.758512, 2.962288) and a p-value of less than 0.001 for the rainfall variable, indicating a significant positive association between rainfall and leptospirosis cases, with a minimum rainfall value of -21.833, a maximum of 25.967 and a median of 0.063. The multiple R-squared value is 0.3265, indicating that approximately 32.65% of the variability in the number of leptospirosis cases can be explained by the variability in rainfall. Conclusion: The study provides additional evidence supporting the influence of rainfall on the occurrence of leptospirosis in Bantul District, Indonesia. The results emphasize the importance of monitoring rainfall patterns as a potential predictive factor for leptospirosis cases in tropical regions like the Bantul District. Efforts to prevent and control leptospirosis in the area should consider environmental factors such as rainfall. However, it is crucial to acknowledge the study’s limitations, including the broad geographical coverage of BMKG data.