Desi Nurfita
Faculty of Public Health, Universitas Ahmad Dahlan, Yogyakarta, Indonesia

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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.
Active Case Finding of Tuberculosis Among Household Contacts in the Special Region of Yogyakarta Fardhiasih Dwi Astuti; Annisa Parisudha; Desi Nurfita; Rokhmayanti Rokhmayanti; Sulistyawati Sulistyawati; Liena Sofiana; Suharna Suharna
Disease Prevention and Public Health Journal Vol. 20 No. 2 (2026): Vol. 20 No. 2 (2026): Disease Prevention and Public Health Journal
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/dpphj.v20i2.15304

Abstract

Background: Tuberculosis (TB) is an infectious disease and also one of the problems in the world due to the high mortality rate and thus becomes an economic burden. The Special Region of Yogyakarta (DIY), Indonesia, has an increasing incidence of tuberculosis, however the Case Detection Rate has not yet reached the target. One of the approaches used by the government of DIY to control TB is through the Active Case Finding Program of Tuberculosis. This research aimed to see the extent of TB case finding in DIY through the Active Case Finding Program. Method: This is a quantitative-descriptive research. The type of data used in this research were the secondary data from the “Active Case Finding Program of Tuberculosis,” obtained from the Health Department of DIY in 2017-2019. The sampling technique used the non-probability sampling based on registered TB patients at Primary health care. The screening was conducted through TB patients among household contacts and the closest neighbors. Results: The Active Case Finding Program of Tuberculosis in DIY found that in 2017 to 2019 respectively that there were 19 TB patients positive out of 19.904 screened people, 13 TB patients positive out of 4.078 screened people and 27 TB patients positive out of 7.520 screened people. The incidence rates of TB patients per 10,000 population in 2017 to 2019 respectively 9.55; 31.88 and 35.9. Conclusion: The findings revealed that although ACF contributed to an increase in TB case detection—particularly in districts such as Sleman—the overall yield remained low compared to the number of individuals screened