Hospitals are increasingly challenged by nosocomial infection (NI) outbreaks during the ongoing coronavirus disease 2019 (COVID-19) pandemic. Although standardized guidelines and manuals regarding infection prevention and control (IPC) measures are available worldwide, case-studies conducted at specified hospitals that are required to cope with real settings are limited. In this study, we analyzed three hospitals in Japan where large-scale NI outbreaks occurred for hints on how to prevent NI outbreaks. We reviewed openly available information from each hospital and analyzed it applying a three domain framework: operation management; identification of infection status; and infection control measures. We learned that despite having authorized infection control teams and using existing standardized IPC measures, SARS-CoV-2 may still enter hospitals. Early detection of suspected cases and confirmation by PCR test, carefully dealing with staff-to-staff transmission were the most essential factors to prevent NI outbreaks. It was also suggested that ordinary training on IPC for staff does not always provide enough practical knowledge and skills; in such cases external technical and operational supports are crucial. It is expected that our results will provide insights into preventing NI outbreaks of COVID-19, and contribute to mitigate the damage to health care delivery systems in various countries.

Background By the end of the third wave of the COVID-19 epidemic (May – October 2021), only 3,130 out of the 57,268 confirmed cases of coronavirus disease 2019 (COVID-19) in the Democratic Republic of Congo (DRC) were reported in Kongo Central. This province, and especially its capital city Matadi has essential trade and exchanges with Kinshasa, the epicenter of the COVID-19 epidemic in DRC. Kinshasa accounted for 60.0% of all cases during the same period. The true burden of COVID-19 in Matadi is likely underestimated. In this study, we aimed to determine the SARS-CoV-2 seroprevalence and associated risk factors after the third wave in Matadi. Methods We conducted a prospective population-based cross-sectional study in October 2021. Consenting participants were interviewed and tested using an ELISA commercial kit. We applied univariable and multivariable analysis to evaluate factors associated with seropositivity and adjusted the seroprevalence for the test kit performance. Results We included 2,210 participants from 489 households. Female participants represented 59.1%. The median age was 27 years (interquartile range 16–45 years). The crude SARS-CoV-2 seroprevalence was 82.3%. Age was identified as the main risk factor as younger age decreased the seropositivity odds. Accounting for clustering at the household level increased the seroprevalence to 83.2%. The seroprevalence increased further to 88.1% (95% CI 86.2–90.1%) after correcting for the laboratory test kit performance. Conclusions The SARS-CoV-2 seroprevalence was very high, contrasting with reported cases. Evidence generated from this population-based survey remains relevant in guiding the local COVID-19 response, especially vaccination strategies.

Case detection, diagnosis and treatment of tuberculosis (TB) in children are challenging issues worldwide. This study in Afghanistan aimed to evaluate paediatric TB case management, including contact investigation, at health facilities where all diagnostic processes were available. In 7 out of 8 regions of the country 1 province was selected. Documents used for management of paediatric TB cases were reviewed in 15 distinct hospitals and 8 provincial hospitals in the selected provinces. The key issues which emerged were: a low suspect rate among total outpatients (0.4%) and a very low suspect rate among children aged < 5 years; low performance of suspect management (68.5% suspects received further examinations); low utilization of other diagnostic methods; a high early defaulter rate (14.0%); and insufficient coverage of contact management (74.0%). This survey indicated that the Afghanistan national TB programme needs to develop plans to improve the quality of diagnosis, suspect management and contact management in paediatric TB cases.