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Background Public health interventions are epidemiologically sound and cost-effective methods to control disease burden. Non-pharmacological public health interventions are the only mode to control diseases in the absence of medication. Objective To find the impact of public health interventions on the epidemiological indicators of disease progression. Methods This is a secondary data analysis done on COVID-19 data. The median doubling time and R0 were calculated for a rolling period of seven days. Interventions were scored from zero to three with an increasing level of stringency. Multivariate linear regression was performed to find the role of individual interventions on R0 and the median doubling time. Results The highest intervention score was reported in the lockdown phase, which gradually decreased to the lowest level of 22. The R0 values settled to a level of 1.25, and the median doubling time increased to 20 days at the end of the study. Public awareness and public health laws were found to be related to both R0 and the median doubling time in the pre-lockdown phase only. Conclusion The implementation of interventions at the ground level is one of the key factors in the success of public health interventions. Post implementation, poor effectiveness of many interventions is evident from the study. Further, studies related to the sequence of interventions are required to further analyze the poor effect of the interventions.
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Background Biomedical waste management has recently emerged as an issue of major concern for every health facility and healthcare provider due to human and environmental hazards. As per government guidelines, every health facility, either large medical institutes or small clinics, should ensure appropriate biomedical waste management at their facilities level. Objective To assess biomedical waste management in various health care facilities of Etawah district. Methodology It was a facility-based cross-sectional assessment that included government and private health facilities. The selection of facilities was done based on a simple random sampling method. All the people in charge of concerned health care facilities were interviewed to know the current biomedical waste management situation concerning health facilities and the problems they face in biomedical waste management. Health care professionals' knowledge was also assessed. Results A total of 56 health care facilities (HCFs) from both government and private sectors were selected. Biomedical waste guidelines are mainly available at tertiary care centers (93%) and secondary care centers (51.5%). Awareness among doctors related to hazards and prevention of hazards (<0.001), knowledge of unused sharps (0.048), contact with a blood-related product (0.003), hazardous waste (<0.001), and need for training (<0.001) are statistically significant with respect to nurses. Conclusions Government of India guidelines on biomedical waste management (BMW) are in place, but the use of guidelines currently is not up to the mark or at a satisfactory level. Spreading awareness of the BMW guidelines and their strict implementation is the need of the hour.
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INTRODUCTION: Japanese encephalitis (JE) is a vector-borne, viral illness caused by the Japanese Encephalitis Virus. Permanent neurologic or psychiatric sequelae can occur in 30%-50% of those with encephalitis; hence, JE is a cause of major public health concern. For the ease of diagnosis and facilitation of surveillance, National Vector Borne Disease Control Programme uses the term Acute Encephalitis Syndrome (AES). In this study, an attempt has been made to ascertain the status and trends of AES and JE in Uttar Pradesh, India. METHODOLOGY: This is a record-based retrospective study. The data were obtained from the Directorate of Medical and Health Services of Uttar Pradesh and analyzed using software SPSS version 24.0. RESULTS: In Uttar Pradesh, there were 47,509 reported cases of AES from 2005 to 2018,. With yearly fluctuations, the average Case Fatality Rate of AES was 17.49% with highest in 2005 (24.76%) and lowest in 2018 (8%). Among the patients with AES, 9.98% were found positive for JE. The most commonly affected age group is 1-5 years for both AES and JE, closely followed by the age group of 5-10 years. Peak occurrence of both AES and JE was recorded in month of September. Among the AES-affected patients 53.8% were males and 46.2% were females. CONCLUSION: The most commonly affected age group was 1-5 years with peak occurrence in the month of September. Though there was a downward trend in CFR, awareness activities like "Dastak" campaign and intersectoral preventive activities, needs to be strengthened.