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All Journal Indonesian Journal of Medicine Epidemiology and Society Health Review (ESHR)
Rokhmayanti Rokhmayanti
Faculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Medicine & Pharmacology Public Health

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Epidemiological Characteristics and Temporal Trends of Dengue Fever in the Mlati 2 Primary Health Care, Sleman, Indonesia, 2021–2024 Retno Widyaningrum; Liena Sofiana; Rokhmayanti Rokhmayanti; Desi Nurfita; Ardyawati Wira Oktaviana
Epidemiology and Society Health Review (ESHR) Vol. 8 No. 2 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/eshr.v8i2.15880

Abstract

Background: Dengue is a mosquito-borne viral disease transmitted mainly by Aedes aegypti and Aedes albopictus. A rapid increase in cases may indicate a potential outbreak and requires timely surveillance. This study aimed to describe dengue cases by person, place, and time in the Mlati 2 Public Health Center area from 2021 to 2024 and identify potential outbreak patterns. Method: This quantitative descriptive study used secondary data from epidemiological investigation records at Mlati 2 PHC. “Dengue cases” included all cases classified as DF, DHF, DSS, and DD. A total of 82 cases recorded from 2021 to 2024 were included. Data were analyzed descriptively and presented by person, place, time, laboratory diagnosis, and House Larvae-Free Index. Results: Most cases occurred among adults aged 19–59 years, with more females than males. Sumberadi Village recorded the highest number of cases, followed by Tlogoadi and Tirtoadi. DHF was the most frequent classification, while cases in 2024 showed more varied diagnoses, including DF, DHF, DD, and DSS. The three-year minimum–maximum pattern showed that cases in February, March, April, May, and August 2024 exceeded the historical maximum from 2021 to 2023, indicating potential outbreak signals. The House Larvae-Free Index remained below the national standard of 95% during the study period. Conclusion: Dengue cases occurred annually in the Mlati 2 Public Health Center area, with a marked increase in 2024. Cases were mainly found among productive-age adults and concentrated in Sumberadi Village. The potential outbreak signals and low House Larvae-Free Index highlight the need to strengthen surveillance, timely reporting, epidemiological investigation, and community-based vector control.
Epidemiological Analysis of Mental Health Disorders in Patients at Psychiatric Hospitals in the Special Region of Yogyakarta, Indonesia Rokhmayanti Rokhmayanti; Viandika Rulianawati; Fardhiasih Dwi Astuti; Siti Kunia Widi Hastuti; Rosyidah Rosyidah; Widea Rossi Desvita
Indonesian Journal of Medicine Vol. 8 No. 2 (2023)
Publisher : Masters Program in Public Health, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/theijmed.2023.8.2.640

Abstract

Background:  Mental disorder is a condition of decreasing all psychiatric conditions that result in deviant behavior. WHO estimates that one in eight people in the world lives with a mental disorder in the world. The COVID-19 pandemic that has occurred since 2019 has had an impact and has had a major impact on the mental health of people in the world and in Indonesia. The Special Region of Yogyakarta is the province with the highest cases of mental disorders in Indonesia based on the results of the 2013 and 2018 Basic Health Research (Riskesdas) surveys. The purpose of this study was to determine the epidemiological description of mental disorders per classification in inpatients at Mental Hospitals in the Special Region of Yogyakarta in 2019-2021.Subjects and Method:  This study used a quantitative descriptive method, sourced from secondary data from Mental Hospitals in the Special Region of Yogyakarta for the period 2019 - 2021. The population in this study was 4,413, with a total sample of 3,919. The inclusion criteria are data of inpatients with mental disorders recorded in the recapitulation of medical records of inpatients at the Mental Hospital for the period 2019 to 2021. Exclusion criteria are incomplete data. The sampling technique used is total sampling. The person variable consists of a classification of mental disorders, age, gender, education level, occupation, marital status, health insurance, and end of care. The instrument used in this research is a dummy table. Data from this study were analyzed descriptively by looking at the frequency and proportion of each variable studied.Results:  The results showed that the highest disease classification was F20-F29 (schizophrenia, schizotypal disorder, and delusional disorder) 76.72%. Most of them were aged 25-44 years (55.60%), male (61.55%), graduated from high school or equivalent (46.54%), did not work (66.90%), and were not married (57.29%). Most of them use national health insurance (62.95%), end of treatment with doctor's approval (97.86%), and length of stay ≤ 42 days (95.1%). Most of the patients came from Sleman Regency (37.25%) and from urban areas (71.37%).Conclusion:  Most patients with mental disorders are in productive age. People with mental disorders are an economic burden that must be borne by their families and the government. So there is a need for comprehensive prevention efforts to reduce the incidence of mental disorders in the community.Keywords:  mental disorders, epidemiological studies, schizophreniaCorrespondence: Siti Kurnia Widi Hastuti, Faculty of Public Health Universitas Ahmad Dahlan. Jl Prof Dr Soepomo Warungboto Umbulharjo, Special Region of Yogyakarta, Indonesia. Email: kurnia.widihastuti@ikm.uad.ac.id. Mobile: +62813-2843-3256.Indonesian Journal of Medicine (2023), 08(02): 204-218https://doi.org/10.26911/theijmed.2023.08.02.10
Co-Authors Ardyawati Wira Oktaviana Desi Nurfita Fardhiasih Dwi Astuti Liena Sofiana Retno Widyaningrum Rosyidah Rosyidah Siti Kunia Widi Hastuti Viandika Rulianawati Widea Rossi Desvita