Background: One of the goals of Indonesia’s participation in sustainable development goals is to improve its health state. Efforts to achieve health improvement are increasing the availability of health care facilities so people can easily access and get treatment for dental and oral health. As we know, the first case of COVID-19 in Indonesia was found in March 2020 and all cases were spread over 34 provinces. During this pandemic situation, health care facilities and some dental treatments generating aerosols are one of the environments that can potentially transmit COVID-19 to the community. Dentists have the riskiest job because they must be less than two meters from patients. Purpose: This study aimed to evaluate the distribution of health care facilities, dental visits and oral health problems to prevent increased exposure to COVID-19 by using a geographic information system to explore the distribution of regional data. Methods: This study is a secondary data analysis and used data from Indonesia Basic Health Research 2018 and Health Facility Research 2019. Data of health care facilities, dental visits and oral health problems were tabulated using MS Excel version 16.45. Spatial mapping was done using Quantum Geographic Information System Desktop version 3.18.3 based on open-source software. Results: Java Island has the highest distribution of health care facilities and receives treatment from the dentist. COVID-19 reached a peak in June–July 2021, and Java Island became the region with the highest incidence rate. Conclusion: The distribution of health care facilities and dental visits was in line with the spread of the COVID-19 virus in 34 provinces. Almost all treatments of oral health problems need a highspeed rotary instrument, which can be a source of transmission of this virus.

Background One of the goals of Indonesia's participation in sustainable development goals to improve its health status. Efforts made to achieve health improvement are increasing the availability of healthcare facilities so people can easily access and get treatment for dental and oral health. This study aimed to determine the relationship between sociodemographic and healthcare services factors that affect tooth decay and filling in Indonesia. Methods A cross-sectional study using secondary data from Basic Health Research 2018 as classified based on WHO age as much 14.031 subjects are sociodemographic factors, utilization of dental visits, total decay, and filling. Health Facility Research 2019 data using 17.741 healthcare facilities. The number of dentists as much as 22.926 data through the Indonesia Medical Council on December 2021. These variables were tested statistically and mapped using QGIS. Results Mann-Whitney test showed a significant difference (p < 0,05) between the female sex, living in the urban area towards tooth decay and filling. Kruskal-Wallis test showed a significant difference (p < 0,05) between groups of informal, formal workers with unemployment, educational level in 35–44 years group between no school and elementary-high school with diploma 3-college and group of 65 + years between all groups, and also frequency utilization towards tooth decay and tooth filling had significant statistics. Spearman test showed a correlation statistically (p < 0,05) between the number and ratio of healthcare facilities and dentists towards tooth decay and filling. Conclusion In this study, there is a relationship between sociodemographic factors and healthcare services that affect tooth decay and filling. Efforts to equitable distribution of healthcare facilities and dentists, as well as an intervention to increase utilization by looking at all aspects of sociodemographic characteristics.