Health care workers are at the frontline for management and containment of COVID-19 infection which has put them at additional risk of the disease. Infection and subsequent quarantine of contacts among HCW may produce considerable strain on the health care system. It is essential that we study the modes by which HCW may get infected in the work environment. Methods: All HCW testing positive for SARS COV 2 from 1 st March 2020 to 31 st Jan 2021 were included in the study. Data regarding possible source of infection, details of symptoms along with demographic details were collected. Results: A total of 390 health-care workers tested positive for SARS CoV-2 in the institution. The mean age of affected health-care workers was 32.82 (±10.6) years (range 20–65 years), and 61.3% were female 33% of the positive HCW were doctors and 19.5% nurses. 29% of the infections occurred during patient care of which majority were from the non-COVID areas of the hospital. Interactions with infected colleagues constituted 27.4% of the infections. Symptomatics constituted 67% and the predominant symptoms included Fever, myalgia and severe headache. 57.2% of those followed up reported persistence of symptoms, commonly fatigue (53%), dyspnea on exertion (48%) and myalgia (18%). Conclusion and Recommendation: Infection control practices in non-COVID areas of the hospital needs to be stepped up. Adherence to masking and personal protection during clinical interactions and with colleagues needs to be maintained. Physical distancing at workplace and during mealtimes needs to be ensured by the system.

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Background: Old age is often accompanied by frailty and diseases including neuropsychiatric disorders. Demen-tia and depression are the most common neuropsychiatric disorders among the elderly. Kerala has the maximum proportion of elderly in its population and successful identification of the elderly at risk is important for early in-tervention. The purpose of the study is to estimate the prevalence of depression and associated factors among the elderly population. Methods: A cross-sectional study was conducted among 320 elderlies from July 2018 to July 2019.The preva-lence of depression was estimated using GDS-15. Socio-demographic factors, self- perceived health status, mor-bidity profile, falls and related factors, religious practices, independence in activities of daily living, and other so-cial factors associated with depression were assessed. Results: 38.1% of the elderly were depressed. Majority had mild depression (23.4%) and 3.1% were severely depressed. Having no formal education, low socioeconomic status, not living with a spouse, no role in decision -making, average or poor self-perceived health status, past surgical history, and fear of falls were found to be inde-pendent predictors of depression. Conclusion: The prevalence of depression was high among elderly. Screening for depression in the elderly should be incorporated in already available programs along with appropriate health care measures.