Article Per Year (5 Year)
p-Index From 2020 - 2025
2.036
P-Index
This Author published in this journals
All Journal Jurnal Kesehatan Folia Medica Indonesiana WMJ (Warmadewa Medical Journal) Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) INDONESIAN JOURNAL OF PHARMACY JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA Cendekia Journal of Pharmacy Jurnal Farmasi Komunitas Jurnal Sains dan Kesehatan
Bambang Subakti Zulkarnain
Department Of Clinical Pharmacy, Faculty Of Pharmacy Airlangga University, Surabaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Education Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : WMJ (Warmadewa Medical Journal)

 1 
Faktor yang Berhubungan dengan Long-term COVID-19: Studi Observasi Cross-Sectional di Indonesia Arina Dery Puspitasari; Nanda Ardianto; Lily Aina; Eunice Marlene Sicilia Kundiman; Fatimatuz Zahra Oviary Satryo; Melinda Putri Amelia Rachman; Fauzul Meiliani; Pharmasinta Putri Hapsari; Bambang Subakti Zulkarnain; Alfian Nur Rosyid; Tamara Nur Budiarti; Brigitta Dhyah Kunthi Wardhani
WMJ (Warmadewa Medical Journal) Vol 7 No 1 (2022): May 2022
Publisher : Warmadewa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/wmj.7.1.4784.33-39

Abstract

Long-term COVID-19 could occur in COVID-19 patients, affecting the patient's quality of life, and becoming a problem for public health. However, information is rarely on factors associated with the occurrence of long COVID-19 cases. This study analyzed factors associated with long-term COVID-19. The study was an observational cross-sectional, conducted in August 2021. The data were collected through a Google form questionnaire distributed to COVID-19 survivors in Indonesian. They must be aged more than 17 years to meet the inclusion criteria, while those with incomplete data were excluded. The data were processed by using SPSS 21 with an ordinal regression test in which an alpha level was 5%. As many as 101 from 16 men (15.8%) and 85 women (84.2%) were obtained. Comorbid status (p-value = 0.001) and duration of treatment (p-value = 0.034 and 0.015) had a significant association with the occurrence of long-term COVID-19. Meanwhile, age, gender, occupation, type of care, and vaccination status were not likely associated with long-term COVID-19. COVID-19 patients with comorbidity and a long duration of treatment are more likely to experience long-term COVID-19. Keywords: COVID-19, long-term COVID-19, factor, public health
Predicting Factors for COVID-19 Infection: A Cross-Sectional Study in Indonesia Pharmasinta Putri Hapsari; Lily Aina; Nanda Ardianto; Eunice Marlene Sicilia Kundiman; Fatimatuz Zahra Oviary Satryo; Melinda Putri Amelia Rachman; Fauzul Meiliani; Farah Meutia; Arina Dery Puspitasari; Bambang Subakti Zulkarnain; Alfian Nur Rosyid; Tamara Nur Budiarti; Brigitta Dhyah Kunthi Wardhani; Dhieo Kurniawan
WMJ (Warmadewa Medical Journal) Vol 8 No 1 (2023): May 2023
Publisher : Warmadewa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/wmj.8.1.5329.34-40

Abstract

COVID-19 cases in Indonesia still remain a concern, particularly for public health. Several factors, such as gender, age, comorbidity, occupation, and vaccination status, might influence COVID-19 infection. Individuals who have many predicting factors have a higher risk of being infected by COVID-19. Other studies have not yet shown the significance of predicting factors for COVID-19 infection in Indonesia. The study explored the association between the predicting factors and COVID-19 infection in Indonesia. The study used a cross-sectional method with a population of all Indonesian communities. It was conducted in August 2021 by distributing a Google Form questionnaire in Indonesia. By a saturated sampling of the population in Jawa, Sumatera, Sulawesi, Kalimantan, and Papua, 776 Indonesians were selected; they were aged > 17 years and voluntarily completed the questionnaires. whereas respondents with incomplete data were excluded from this study. The data were analyzed using a binary logistic regression test in SPSS (version 21.0). The respondents include 134 men (17.3%) and 642 women (82.7%). The binary logistic regression analysis showed that COVID-19 infection was more common among respondents who were non-health-care workers (p 0.001) and less common among those who had been fully vaccinated (p 0.001). The COVID-19 infection was significantly associated with occupation and vaccination status. Keywords: COVID-19 Infection, Predicting Factors, Public Health, Health-Care Worker, COVID-19 Vaccination, Comorbidity
Co-Authors Alfiyah Hasanah Alvita Raniah Aisyah Putri Aranza Khoirina Audrey Abbas Arina Dery Puspitasari Arina Dery Puspitasari Brigitta Dhyah Kunthi Wardhani Brigitta Dhyah Kunthi Wardhani Budiatin, Aniek Setiya Cici Aisyah Putri Rogahang Cladita Pamungkas Putri Clarissa Budiman Desi Ratu Puspita Dhieo Kurniawan Erviana Eunice Marlene Sicilia Kundiman Eunice Marlene Sicilia Kundiman Eunice Marlene Sicilia Kundiman Farah Meutia Fatimatuz Zahra Oviary Satryo Fatimatuz Zahra Oviary Satryo Fatimatuz Zahra Oviary Satryo Fauzul Meiliani Fauzul Meiliani Fauzul Meiliani Febria Rossa Alba Hana Rizqi Ghaesani Heri Yulimanida Herri Yulimanida Herri Yulimanida Junaidi Khotib Lily Aina Lily Aina Lily Aina Melinda Putri Amelia Rachman Melinda Putri Amelia Rachman Melinda Putri Amelia Rachman Misbahul Munir Naksa Garnida Arfie Nanda Ardianto Nanda Ardianto Nanda Ardianto Nurul Khikmiyah Paulina Ari Damayanti Pharmasinta Putri Hapsari Rebecca Ferida Octaviani Rosyid, Alfian Nur Rozalina Loebis Sudarmanto Sudarmanto Syefi Nuraeni Fitriana Syefi Nuraeni Fitriana Syefi Nuraeni Fitriana Tamara Nur Budiarti Tamara Nur Budiarti Tamara nUR Budiarti Toetik Aryani Yessi Rahmawati Yogiarto, Mohammad