ObjectiveTo explore the construction of a risk assessment indicator system for common infectious diseases in Shanghai’s childcare institutions, and to provide a reference standard for the prevention and control of infectious diseases, staff training and system construction in childcare institutions. MethodsBy combining the Delphi method with the literature review and expert consultation, the hierarchical dimensions and items at all levels of the risk assessment indicator system for common infectious diseases in Shanghai’s childcare institutions were constructed, and the weighting coefficients were determined by analytic hierarchy process. ResultsA total of 14 experts from the field of childcare institutions, infectious disease control, child healthcare and health supervision participated in the Delphi consultation. The system consisted of four core dimensions: organizational management, team building, hardware equipment, and infectious disease surveillance and disposal, with the weighting coefficients of 0.285 9, 0.261 6, 0.204 3 and 0.248 2, respectively. The evaluation indicator system consisted of 4 primary indicators, 15 secondary indicators and 45 tertiary items. The positivity coefficients of the two rounds of Delphi consultation were 0.93 and 1.00, the authority coefficients were both 0.81, and the Kendall’s coefficient of concordance were 0.44 and 0.49, respectively (P<0.01). ConclusionThe high expert engagement and coordination indicate that organizational management and team building remain the critical priorities for infectious disease prevention and control in Shanghai’s childcare institutions. It is recommended to strengthen financial investment, improve institutional mechanisms, and enhance personnel reserves and capacity building for healthcare teachers, thereby systematically upgrading the infectious disease control capabilities of childcare institutions.

ObjectiveTo investigate the quality of disinfection in the SARS-CoV-2 nucleic acid sampling sites in Shanghai. MethodsSwab samples of medical staff’ hands and environments of different SARS-CoV-2 nucleic acid sampling sites were collected from July to September 2022， with the total number of bacterial colonies cultured and counted. ResultsA total of 728 swab samples were collected from 69 sampling sites. The median total number of bacterial colonies on hand surface， object surface and air samples were 0 CFU·cm^-2， 0 CFU·cm^-2， and1 CFU·（petri dish∙5 min）^-1， respectively， and P₉₅ was 13 CFU·cm^-2， 5.3 CFU·cm^-2， and 17.8 CFU·（culture vessel∙5 min）^-1， respectively. According to the GB 15982‒2012 Hygienic Standard for Disinfection in Hospitals class Ⅳ environment， 680 samples met the standard （93.4%）. Furthermore， 96.9%， 92.0%， and 92.2% of the samples in the sampling sites of tertiary/secondary hospitals， community health centers， and community convenience sampling sites met the standard， respectively. Quality of disinfection did not differ significantly across these sampling sites. ConclusionThe quality of disinfection in the SARS-CoV-2 nucleic acid sampling sites in Shanghai is generally good. Additionally， hand hygiene of medical staff and disinfection on object surface in some sampling sites need to be strengthened.

ObjectiveThis study aimed to investigate the risk factors affecting the positive detection of Acinetobacter baumannii on the hands in medical staff of hospitals in Shanghai， and provide epidemiological evidence for the prevention and control of nosocomial infections. MethodsThe hands of doctors， nurses and care workers in key departments were sampled every quarter from 2018 to 2020 according toGB 15982‒2012 "Hospital Disinfection and Hygiene Standards". Separation and identification of A. baumannii were followed with sampling shortly. Information about the working years of sampling subjects， the hand sanitizers of which sampling subjects had used and the ingredients and actual using time of the hand sanitizers was collected while sampling. Finally， 709 samples were selected for this research after excluding the unqualified samples. ResultsThe positive detection of the hand samples was 7.05%. The logistic regression model suggested that the department， the time of using hand sanitizer， the hospital grade and occupational category were determinants of A. baumannii positive detection on hands in medical staff. The risk of A. baumannii positive detection in internal medicine department was 2.846 （95%CI：1.402‒5.776） times higher than that in intensive care unit while it was 3.357 （95%CI：1.349‒8.353） times higher in surgery department than that in intensive care unit. Regarding the use of hand sanitizer， the risk of A. baumannii positive detection was 3.076 （95%CI：1.534‒6.168） times higher in the staff used the hand sanitizer over 14 days than in the medical staff used the sanitizer within 14 days. The risk of A. baumannii positive detection in medical worker in secondary hospitals was 2.235（95%CI：1.088‒4.588）times than in tertiary hospitals. The risk of A. baumannii positive detection of care workers was 3.634 （95%CI：1.764‒7.484） times higher than nurses. ConclusionThe positive detection of hand samples was 7.05%. Department， the time of using hand sanitizer， the hospital grade and occupational category were determinants of A. baumannii positive detection on hands in medical staff. It was necessary to improve hand hygiene for medical staff， especially for care worker. Cleaning and disinfection need to be strengthened in internal department and surgery department.