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

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