Recruitment and retention of public health workers (PHWs) is crucial for the optimal functioning of the public health system at a time of budget cuts and the threat of a pandemic. Individual and job-related variables were examined by univariate and multivariate logistic regression to identify predictors of the intention to leave a job during the COVID-19 outbreak among Serbian PHWs in 25 institutes of public health (n = 1663 respondents, of which 73.1% were female). A total of 20.3% of PHWs intended to leave their current job within the next five years. Males and persons aged younger than 55 years who had additional practice were more likely to report an intention to leave their job than females, those older than 54 years and those without additional work. While uncertainty and fear of infection during the COVID-19 pandemic were almost perceived as job attractiveness, other job-related characteristics were identified as significant barriers to maintaining the sufficient capacity of qualified PHWs in the future. Authorities need to address these factors, including the following: the feeling of tension, stress or pressure, and unavailability of information during the COVID-19 pandemic, as well as dissatisfaction with respect, valuation, and the job in general.

The objective of this quantitative study was to examine the impact of selected factors on the level and state of public health in local self-government units in 2021, with the consideration of data from 2020 and 2019. This survey included 77 out of 145 local self-government units in the Republic of Serbia and examined six dimensions defined by the Law on Public Health: social care for the public health of the city/municipality in regard to the physical, mental, and social health of the population; health promotion and disease prevention; the environment and health; working environments and population health; the organization and functioning of the health system; and actions in emergency situations. The results of the Pearson correlation showed that there were statistically significant correlations between the effectiveness of the realized program budget and microbiologically defective drinking water samples from the so-called village water supply systems, defective samples of drinking water from public taps, unsatisfactory analyses of wastewater samples, the total number of air samples on an annual level for PM25s, and the number of mandated fines issued. The results of the logistic regression model showed that the local self-government units that received assistance from the Permanent Conference of Cities and Municipalities were 5.6 times more likely to perform analyses of their health status. Furthermore, we determined that the units of local self-governments that appointed a coordinator of the health council identified vulnerable groups in the analysis of the state of health four and a half times more often. In contrast, the units of local self-governments that prepared health status analyses could be used to identify vulnerable groups to a six times greater extent within the framework of the health status analysis. The results showed that in improving the state of public health at the local level, it is necessary to provide systematic institutional support to cities and municipalities in exercising their responsibilities. Based on these results, recommendations were made for the further development of support, i.e., the planning of further activities aimed at strengthening the capacity of the health councils and local self-government units in this area.

Planning and adjusting health capacities to meet the needs of refugees is a constant issue for transit and destination countries following the 2015/2016 Western Balkans refugee crisis. Understanding this crisis is important for taking the right steps in the future. The study informs about the prediction of the refugees’ health needs and demands for services in correspondence to political decision-making during 2015/2016 Western Balkan Refugee Crisis. Time series analysis, linear regression, and correlation analyses modelled the weekly flux of arrivals of more than half a million refugees to Serbia and the European Union, changes in the utilization of health care services, and disease diagnoses. With strategic planning, in the event of a recurrence of the refugee crises, the demand for health care services in the transit country could increase by 63 (95% CI: 21–105) for every additional 1000 refugees.