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Background: The work environment is rapidly changing and in recent times, occupational stress poses a threat to the health, morale and productivity of workers and the organization. This study sought to determine the prevalence and predictors of stress among bankers in a south-eastern state of Nigeria. Methods: A descriptive cross-sectional study was carried out among 370 bankers in Enugu State, Nigeria using the Health, Safety, Executive (HSE) management standards indicator tool. Multistage sampling method was used to select participants. Statistical analysis was done using SPSS 22.0. Level of statistical significance was set at p< 0.05.Results: The mean age of the participants was 34.54±6.3 years while the mean years of work was 6.01±4.7years. One hundred and seventy-four (47%) reported high level of stress due to relationship at work while 318 (85.9%) reported low level of stress due to roles. Being 35 years or less was found to a predictor of high (AOR 0.55, CI 0.30-1.02) level of stress due to control.Work experience of 5 years or less was found to be a predictor of both high (AOR 0.74, CI 0.40--1.37) and low (AOR 0.99, CI 0.40-1.37) levels of stress due to control.Conclusion: This study has shown that the prevalence of stress was high among bankers in Enugu State, South-East Nigeria. There is, therefore, the need for routine stress assessment and interventions in the banking industry especially for those at high risk. Keywords: Bankers; HSE Stress Questionnaire; Stress; Workplace; Southeast Nigeria

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Background: Disease surveillance and notification (DSN) has been recognized as an effective strategy for prevention and control of diseases, particularly epidemic-prone diseases. Aim: This study assessed the knowledge and practice of DSN activities in private health facilities (PHFs) in Enugu metropolis. Materials and Methods: This was a cross-sectional study, utilizing mixed methods. Multistage sampling method was used to select the PHFs and the respondents. Respondents were health-care workers (HCWs) in charge of DSN in PHFs within Enugu metropolis and the state epidemiologist. Chi-square test and multivariate analysis using binary logistic regression were used for analysis. Results: Being a medical doctor (adjusted odds ratio [AOR]: 6.567; confidence interval [CI]: 1.250–34.502) was found to be a predictor of good knowledge. Facilities having more than ten patients daily (AOR: 0.012; CI: 0.085–0.739) and poor knowledge of Integrated Disease Surveillance and Response (IDSR) system (AOR: 0.135; CI: 0.028–0.660) were predictors of poor IDSR practice. Four major themes emerged from the key informant interview: the level of involvement of state with DSN in PHFs, support available to PHFs, challenges in assessing DSN data in PHFs, and measures to improve DSN activities in PHFs. Conclusion: The HCWs in charge of DSN had good knowledge of IDSR system, but the practice was poor. There is a need for regular training with supportive supervision of the HCWs to ensure they translate knowledge into practice.