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INDONESIA
Jurnal Berkala Epidemiologi
Published by Universitas Airlangga
ISSN : 23017171     EISSN : 2541092X     DOI : -
Core Subject : Health, Science,
Immunology & microbiology Public Health
The scope of JBE are Epidemiology of Communicable Disease, Epidemiology of Non-communicable Disease, Tropical Disease, Epidemiology Surveillance, Management Outbreak, Epidemiology of Preventable Disease, and Epidemiology of Cancer.
Arjuna Subject : -
Articles 12 Documents
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Search results for , issue "Vol. 12 No. 1 (2024): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)" : 12 Documents clear
TUBERCULOSIS SURVEILLANCE SYSTEM EVALUATION IN BLITAR DISTRICT: STUDY OF SYSTEM APPROACH AND ATTRIBUTES: Evaluasi Sistem Surveilans Tuberkulosis di Kabupaten Blitar: Studi Pendekatan Sistem dan Atribut Friwanti Florentji Adel Benu; Muhammad Atoillah Isfandiari; Endro Pramono
Jurnal Berkala Epidemiologi Vol. 12 No. 1 (2024): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V12I12024.88-97

Abstract

Background: Blitar district was in the last second position in East Java Province, achieving low Tuberculosis recovery and treatment of the national target by 2022. Therefore, it is necessary to support surveillance systems as a prerequisite for providing information as decision-making material. Purpose: to describe the quality of the tuberculosis surveillance system based on its approach and attributes. Methods: This research was an evaluation study design on the tuberculosis surveillance system in 2022. Respondents totaled 19 people. Data was collected by interview using a questionnaire and document study using a checklist. Data was analyzed by comparing the system approach and surveillance attributes to existing guidelines. The data was presented in tables and narratives. Results: Evaluation of tuberculosis surveillance systems based on input, process, and output was available by surveillance guidelines. Evaluation of the surveillance attributes showed that the flexible system has high data quality, high sensitivity, timeliness, and high stability. However, the system is not simple in operation, has low acceptability of the network, and has low positive predictive value because the suspect detection is too loose and not representative. Conclusion: The implementation of the tuberculosis surveillance system has largely been carried out well, supported by several complete surveillance attributes. It is necessary to provide standard operational procedures for recording and reporting, improve coordination with the network to manually and electronically report suspected tuberculosis, and optimize the Mantoux test in children.
TIME TO RECOVERY FROM COVID-19 AMONG PATIENTS IN SIDOARJO REGENCY, EAST JAVA PROVINCE, INDONESIA IN 2022: Waktu Untuk Sembuh Dari COVID-19 di Antara Pasien di Kabupaten Sidoarjo, Provinsi Jawa Timur, Indonesia Pada Tahun 2022 Noer Farakhin; Atik Choirul Hidajah; Retna Gumilang; Supaat Setia Hadi
Jurnal Berkala Epidemiologi Vol. 12 No. 1 (2024): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V12I12024.98-106

Abstract

Background: The SARS-CoV-2 mutation in the bodies of COVID-19 patients is a critical factor for health. Notably, in October 2022, the disease recovery rate in Sidoarjo (96.05%) was lower than the national rate (97.30%). Purpose: This study aims to identify the recovery time and its influencing factors in COVID-19 patients in Sidoarjo. Methods: The life-table method was used to conduct a survival analysis on data from the NAR COVID-19 dashboard in Sidoarjo from January 3 to August 4, 2022, which involved 20,662 respondents. Age group, sex, treatment status, and testing purpose were analyzed. Results: The majority of COVID-19 patients were females (50.30%) aged 26-<46 years (46.24%). Most patients (64.74%) chose to self-isolate, and 63.34% were screened as COVID-19 positive. On average, patients recovered within seven days of diagnosis. The Wilcoxon (Gehan) statistical test yielded a p-value of less than 0.001 for all factors at a significance level of 0.05, indicating a significant difference in the survival time distribution. The age group with the shortest median recovery time was 6-<12 years at 7.03 days, while males had a median recovery time of at 7.66 days. Patients who self-isolated had a median recovery time of 7.16 days, and those who were tested for close contact purposes had a median recovery time of 7.65 days. Conclusion: The median recovery time for COVID-19 patients post-diagnosis was seven days. There was a significant difference in recovery time among the COVID-19 patients based on age group, sex, treatment status, and testing purpose.

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