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All Journal International Journal of Public Health Science (IJPHS) Jurnal Ilmiah Kursor Jurnal Kesehatan Komunitas Jurnal Ners Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Berita Kedokteran Masyarakat Jurnal Muara Medika dan Psikologi Klinis Jurnal Biostatistik, Kependudukan dan Informatika Kesehatan (BIKFOKES) Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Indang Trihandini
Departemen Biostatistik Dan Ilmu Kependudukan Fakultas Kesehatan Masyarakat Universitas Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Medicine & Pharmacology Neuroscience Nursing Public Health

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Journal : Berita Kedokteran Masyarakat

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Survival of COVID-19 patients research trends 2020-2022: a bibliographic study Riadi, Dela; Trihandini, Indang
BKM Public Health and Community Medicine Vol 38 No 11 (2022)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v38i11.6077

Abstract

Purpose: With a bibliography analysis, this study attempted to reveal research trends in COVID-19 patient's survival from 2020-2022. Furthermore, it attempted to determine keyword co-occurrences and the bibliographic coupling of countries and sources. Understanding the trends within research on COVID-19 patients' survival is essential, and analysis might provide some information. Methods: Patients who had COVID-19 survived, based on the Scopus database. All articles could be stored in the research information system (.ris) and comma-separated values (CSV) versions. Using Microsoft Excel and the VOSviewer, analysis data mapping was accomplished. Results: The analysis's results show that during the period of three years, there have been various changes in the development of papers regarding the Survival of COVID-19 patients. It was determined that research on this subject increased from 2020 to 2021 but declined from 2021 to 2022 in the time from 2020 to 2022. The studies were composed by Tang N. (top publication), Li Y. (top author by document), and Chen X. Participants were published mainly in the USA (top country), PLOS One (top source). The keyword "human" comes the most (1730), while "covid-19" is the author's keyword (1281). There are many 304 total occurrences for the survival keyword. The strongest connections for collaborations occur between China and the United States, and for source, between Frontiers in Immunology and the Journal of Clinical Medicine. Conclusion: The COVID-19 patient's research survival in the years 2020–2022, however, was largely dependent on US-China collaboration. The Publication of Clinical Medicine and Frontiers in Immunology had the strongest association, per the co-author source, even though PLOS One was the most widely used journal for COVID-19 patients' survival studies. Research on COVID-19 patients' survival shows a decline in 2022.
Spatial analysis of tuberculosis cases diffusion based on population density in Bekasi Regency in 2017-2021 Inggarputri, Yuanita Rizky; Trihandini, Indang; Novitasari, Prihatini Dini; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6462

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Purpose: This research aims to examine the spatial relationship between tuberculosis cases and population density and their spatial diffusion patterns in Bekasi Regency in 2017-2021. Methods: Research using an ecological study design using spatial analysis to estimate and analyze the distribution of tuberculosis prevalence related to population density in 23 sub-districts in Bekasi Regency, compare data from 2017 to 2021 and evaluate the spatial correlation. The data is taken from secondary data from the Bekasi District Health Office for 2017-2021. Results: This study shows a spatial autocorrelation between tuberculosis cases and population density from 2017 to 2021 (I>E; p-value <0,05). There is spatial diffusion of cases characterized by expanding clusters with high tuberculosis cases. High-high cluster in 2017, there was one sub-district. In 2018 there was also one sub-district. In 2019 there were two sub-districts. In 2020, there were three sub-districts. And in 2021, there were five districts. Conclusion: This research shows a positive spatial autocorrelation in the incidence, which is influenced by population density in Bekasi Regency from year to year (2017-2021) with a clustering pattern.
Mapping the spread of dengue hemorrhagic fever (DHF) with the level of insecurity in Kepahiang Regency in 2021 Dwitasari, Indah; Trihandini, Indang; Indriyani; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6491

Abstract

Purpose: This study aims to map the distribution of dengue cases in Kepahiang Regency based on the distribution of dengue cases, population density, and air temperature. Furthermore, mapping was carried out based on the level of vulnerability and priority of sub-district-based dengue disease management in Kepahiang Regency. Method: Research using a descriptive method using Geographic Information System (GIS) with scoring and overlay techniques. The data was taken from secondary data from the Kepahiang Regency Health Office and Kepahiang Regency Meteorology and Geophysics Agency in 2021. Results: This study shows that out of 8 sub-districts, there is one with a high level of vulnerability with priority handling, namely Kepahiang Regency. The priority of dengue insecurity can be an effort to prevent and handle dengue disease by the Government. Conclusion: Mapping the level of dengue insecurity in Kepahiang Regency using parameters (dengue cases, population density, and temperature) resulted in 1 in 8 sub-districts being in priority 1 with a high level of insecurity, priority 2 (1 sub-district) with a moderate level of insecurity, priority 3 (1 sub-district) with a low level of insecurity, and priority 4 (5 sub-districts) with a very low level of insecurity.
Spatial autocorrelation of stunting prevalence among children under five years in West Bandung Regency in 2022 Minawati; Trihandini, Indang; Sipahutar, Tiopan; Salsabila, Syefira
BKM Public Health and Community Medicine Vol 40 No 01 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v40i01.11645

Abstract

Purpose: This study aims to determine whether there is spatial autocorrelation based on the prevalence of stunting and their spatial diffusion pattern. It also aims to find areas that will become stunting hotspots and cold spots area in West Bandung Regency in 2022. Method: This research employed an ecological study design using spatial analysis to estimate and analyze the distribution pattern of stunting prevalence in the West Bandung Regency in 2022. The data used results from a child monitoring record in Posyandu (Integrated Service Post) carried out by the West Bandung Regency Health Office regarding the prevalence of stunting among children under five years. This study used Moran Index and Local Indicators Autocorrelation (LISA) for spatial pattern analysis. Results: This study shows that there is negative spatial autocorrelation, or the distribution of stunting prevalence forms a random pattern (I<E). This study also indicates that there is statistically no spatial correlation between sub-district areas based on stunting prevalence in West Bandung Regency in 2022 (p-value > 0,05). There is no hotspot and cold spot area of stunting in West Bandung Regency in 2022. Conclusion: The prevalence of stunting in West Bandung Regency in 2022 is not spatially related between sub-district areas, with a random or scattered pattern. The area that is the main priority for intervention is Saguling Subdistrict, the subdistrict with the highest prevalence of stunting. The intervention program implemented in Cililin Subdistrict can be implemented in Saguling Subdistrict to reduce stunting prevalence.
Co-Authors Amrina Rosyada Amrina Rosyada Ayu Diah Permatasari Bahar, Ryza Jazid Birjaman, Fathiyya Aliyah Chintya Putri Erlianti Devinita Ayu Nurcahyani Devinita Ayu Nurcahyani Dewi Syafitriani Diana, Tyra Septi Dieta Nurrika Diyanto, Aris Dwina Kuswardani Dwitasari, Indah Indriyani Inggarputri, Yuanita Rizky Jayawarsa, A.A. Ketut Julhan Irfandi Khoiriyah, Latifatul Kurniawan, Rico Kurniawati, Dewi Candra Lutfi Rinaldi Syahbana M. Rahmat Widyanto Maimunah, Rana Makful, Martya Rahmaniati Minawati Minawati Minawati, Minawati Muthi’ah, Triska Alya Muyassar, Ibnu Novitasari, Prihatini Dini Popy Yuniar Putri, Hertina Raisa Ramadhianisa, Nadazaira Alifia Riadi, Dela Riko Setiawan, Riko Ryza BaharuddinNur Salsabila, Syefira Sari, Dewi Nirmala Serafina, Annabel Sipahutar, Tiopan Suwandi, Meilina Wijaya, Fikri Wulansari, Ika Yati Afiyanti Zita Atzmardina