Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Jurnal Berkala Epidemiologi Proceeding Mulawarman International Conference on Tropical Public Health
Yudi Purnomo, Agoes
Unknown Affiliation
Immunology & microbiology Public Health

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
DISTRIBUTION OF PERTUSSIS CASES ACCORDING TO DPT, HB-HIB4 IMMUNIZATION COVERAGE IN EAST JAVA PROVINCE IN 2022-2023 Wulan Wijayanti, Esti; Atoillah Isfandiari, Muhammad; Yudi Purnomo, Agoes
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): The 3th MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background : Pertussis is still a health problem in East Java. In 2023 Pertussis cases increased 6 times more than in 2022. DPT-HB-Hib4 immunization coverage in 2023 of 85% is still below the target (>95%). Objective : To analyze the distribution of pertussis cases based on immunization coverage in East Java Province. Research Methods/ Implementation Methods : Descriptive observational study design. Data were collected from the profile of the East Java Provincial Health Office in 2022 and 2023. Descriptive data analysis using epi info (epimap) version 7.0. Results : The number of pertussis cases in 2022 amounted to 33 cases increasing to 165 cases in 2023. DPT-HB-Hib4 immunization coverage in East Java decreased, from 18 districts/cities (47%) in 2022 to 11 districts/cities (29%) in 2023. Of all pertussis cases in 2023, 135 cases (81.35%) occurred in areas with low immunization coverage and 30 (18.65%) cases occurred in areas with targeted immunization coverage. Conclusion/Lesson Learned : The increase in pertussis cases in East Java in 2023 allegedly due to a decrease in DPT-HB-Hib4 coverage. It is recommended to conduct “Imunisasi Kejar”, especially in areas that did not reach target the DPT-HB-Hib4 target.
EVALUATION OF DIARRHEA SURVEILLANCE SYSTEM IN MAGETAN REGENCY HEALTH OFFICE 2023 USING SURVEILLANCE ATTRIBUTES: Evaluasi Sistem Surveilans Diare di Dinas Kesehatan Kabupaten Magetan Tahun 2023 Berdasarkan Atribut Surveilans Tajuddin AT, Nur Afdaliah; Isfandiari, Muhammad Atoillah; Yudi Purnomo, Agoes
Jurnal Berkala Epidemiologi Vol. 13 No. 3 (2025): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V13I32025.229-237

Abstract

Background: Diarrhea prevalence in 2023 in Magetan Regency was reported for all age groups at 59.40% and for children under five at 96.53%. The preliminary study found several problems in the recording and reporting system of Diarrhea in the Magetan Regency. Purpose: To describe the quality of the diarrhea surveillance system implemented in Magetan Regency Health Office based on surveillance system attributes assessment. Methods: Descriptive research with an evaluation study design. An evaluation was conducted on the diarrhea surveillance system in 2023 in the Magetan Regency Health Office. The respondents of this study were 23 people. Data was collected using questionnaires through Google Forms, interviews, and document studies. Data analysis was carried out and presented descriptively using tables and narratives. Results: Evaluation of the diarrhea surveillance system based on the assessment of surveillance attributes shows that the diarrhea surveillance system in Magetan Regency is simple, flexible, of high data quality, sensitive, highly acceptable, timely, and highly stable. However, the system is not representative, and the positive predictive value cannot be calculated. Conclusion: The implementation of the diarrhea surveillance system in Magetan Regency has been running well, mostly supported by the completeness of surveillance attributes. The evaluation results show that the system is simple, flexible, has high data quality and acceptability, is sensitive, timely, and highly stable. However, the system is not representative, and the PVT cannot be calculated.
Co-Authors Atoillah Isfandiari, Muhammad Muhammad Atoillah Isfandiari Tajuddin AT, Nur Afdaliah Wulan Wijayanti, Esti