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All Journal Jurnal Epidemiologi Kesehatan Komunitas Berita Kedokteran Masyarakat
Risalia Reni Arisanti
Departemen Biostatistik, Epidemiologi, Dan Kesehatan Populasi Fakultas Kedokteran, Kesehatan Masyarakat, Dan Keperawatan Universitas Gadjah Mada
Health Professions Nursing Public Health

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Kontribusi agen dan faktor penyebab kejadian luar biasa keracunan pangan di Indonesia: kajian sistematis Risalia Reni Arisanti; Citra Indriani; Siswanto Agus Wilopo
Berita Kedokteran Masyarakat (BKM) Vol 34, No 3 (2018)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.197 KB) | DOI: 10.22146/bkm.33852

Abstract

Contribution of agents and factors causing foodborne outbreak in Indonesia: a systematic review PurposeThe purpose of this study is to understand burden of foodborne outbreak in Indonesia during 2000 -2015. MethodSystematic review conducted based on publish and unpublished (grey literature) data during 2000 -2015. Publish data from search engine such as Google scholar, open access, repository online university in Indonesia. Grey literature collected from investigation report from selected university (UGM, UI and UNAIR), Ministry of Health, Food and Drug Administration (BPOM) Indonesia. 2 reviewer will select and extract relevant data. ResultsDuring 2000 – 2015 there was 1.176 foodborne outbreak with West Java Province as the highest event with 61.119 foodborne cases (AR: 8.5%) and 291 deaths (CFR: 0.4%). Women have more risk on foodborne with proportion 58.3%. Daily meal (36.6%) and special celebration (29.7%) as more risk activities with house (48.9%) and school (13.7%) as highest risk area for foodborne outbreak. Homemade food (46.9%) and catering food (18.9%) as highest causes of cases with pathogen bacterial as frequent agent (74.9%) such as E.coli. The most contributing factor was inadequate cooking and storage at inappropriate temperature.ConclusionHigh risk population of foodborne outbreak was women with pathogen bacterial as the highest agent. The most contributing factor was pathogen resistance and growth. It need to increase monitoring and food-handler as food safety standard.
Mengukur Perilaku Manusia dalam Skala Besar dan Secara Real-time: Studi Kasus Pola Mobilitas Penduduk dan Fase Awal Pandemi COVID-19 di Indonesia Aditya Lia Ramadona; Risalia Reni Arisanti; Anis Fuad; Muhammad Ali Imron; Citra Indriani; Riris Andono Ahmad
Jurnal Epidemiologi Kesehatan Komunitas Vol 8, No 2 : Agustus 2023
Publisher : Master of Epidemiology, School of Postgraduate Studies, Diponegoro University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jekk.v8i2.16646

Abstract

Background: Good decisions in policy-making rely on acquiring the best possible understanding at the fast pace of what is happening and what might happen next in the population. Immediate measurements and predictions of disease spread would help authorities take necessary action to mitigate the rapid geographical spread of potential emerging infectious diseases. Unfortunately, measuring human behavior in nearly real-time, specifically at a large scale, has been labor-intensive, time-consuming, and expensive. Consequently, measurements are often unfeasible or delayed in developing in-time policy decisions. The increasing use of online services such as Twitter generates vast volumes and varieties of data, often available at high speed. These datasets might provide the opportunity to obtain immediate measurements of human behavior. Here we describe how the patterns of population mobility can be associated with the number of COVID-19 cases and, subsequently, could be used to simulate the potential path of disease spreading.Methods: Our analysis of country-scale population mobility networks is based on a proxy network from geotagged Twitter data, which we incorporated into a model to reproduce the spatial spread of the early phase COVID-19 pandemic in Indonesia. We used aggregated province-level mobility data from January through December 2019 for the baseline mobility patterns from DKI Jakarta as the origin of the 33 provinces' destinations in Indonesia.Result: We found that population mobility patterns explain 62 percent of the variation in the occurrence of COVID-19 cases in the early phases of the pandemic. In addition, we confirm that online services have the potential to measure human behavior in nearly real time.Conclusion: We believe that our work contributes to previous research by developing a scalable early warning system for public health decision-makers in charge of developing mitigation policies for the potential spread of emerging infectious diseases.
Factors affecting differences in measles-rubella bias immunization during the COVID-19 pandemic and before the COVID-19 pandemic in Kulon Progo District 2020 Laksono, Bima Adi; Sitaresmi, Mei Neni; Arisanti, Risalia Reni
BKM Public Health and Community Medicine Vol 38 No 02 (2022)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v38i02.3817

Abstract

Purpose: This study examines the differences between MR bias immunization and the implementation of MR BIAS before (2019) and during (2020) the pandemic. Methods: This study was a qualitative study with a descriptive approach. Qualitative samples were selected using purposive sampling techniques. Twelve subjects were chosen as samples with occupations such as public health center officer, teacher, and parent. Results: Factors that influenced the implementation of the MR BIAS program before the pandemic (2019) and during the Pandemic (2020) were environmental factors, behavioral factors, and healthcare factors. Environmental factors that affect the implementation of vaccinations include online-based learning, delayed school immunization programs because of COVID-19 cases in schools, and the role of schools and teachers. Behavioral factors that affect the implementation of BIAS are the implementation of health protocols and the attitude of children and parents. Healthcare factors influencing vaccination implementation are immunization services constrained by human resources (HR) and personal protective equipment (PPE). Conclusion: There were differences in implementing monthly school immunization programs in 2019 before and in 2020 during the pandemic. Kulon Progo Regency maintained immunization coverage before and during the pandemic.
Determinant of healthcare-seeking behavior for follow-up of toddler pneumonia in Kulon Progo District, 2023 Sulastri, Yayu; Oktaria, Vicka; Arisanti, Risalia Reni; Sugiarto
BKM Public Health and Community Medicine Vol 40 No 10 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v40i10.14833

Abstract

Purpose: Follow-up visits are crucial to the management of toddler pneumonia. The purpose of this study is to determine the healthcare-seeking behavior (HSB) follow-up visit for toddler pneumonia in the Kulon Progo District. Method: This was an observational study with a cross-sectional study design and a sample size of 185 mothers or caregivers of toddler pneumonia in Kulon Progo District. Data were obtained through interviews using questionnaires. Univariate, bivariate, and multivariate analysis using logistic regression tests. Results: A total of 185 mothers or caregivers were successfully interviewed with a response rate of 96.9%. The percentage of follow-up visits for toddler pneumonia was 65.9%. The multivariate analysis showed that support from healthcare providers (aOR = 7.36 95% CI: 2.38-22.73) and degree of severity (aOR = 3.56, 95% CI: 1.42-8.93) were significantly associated with HSB follow-up visit in toddlers with pneumonia, which was adjusted to family support, caregivers’ knowledge, access to health facilities, number of children, occupation, education of caregivers and toddler sex. Conclusion: Good support from healthcare providers may improve HSB follow-up visits for toddler pneumonia compared to those with less support, with a 7.36 times higher rate. Recommendations for healthcare providers to provide appropriate care, especially those with limited knowledge, in order of increasing caregivers’ knowledge about the necessity of follow-up visits.
Co-Authors Aditya Lia Ramadona Anis Fuad Citra Indriani Laksono, Bima Adi Mei Neni Sitaresmi Muhammad Ali Imron Riris Andono Ahmad Siswanto Agus Wilopo Sugiarto Sulastri, Yayu Vicka Oktaria