UNASSIGNED: The COVID-19 pandemic and associated non-pharmaceutical interventions (NPIs) have led to substantial decreases in case numbers of infectious diseases in several countries worldwide. As NPIs were gradually lifted, intense or out-of-season outbreaks of respiratory and gastrointestinal diseases were reported, raising the hypothesis of a potential catch-up effect of infections. By analysing surveillance data from the federal reporting system for notifiable infectious diseases, we aimed to assess the potential impact of lifting COVID-19 associated NPIs on notifications of selected infectious diseases in Bavaria, 2022.
UNASSIGNED: We compared influenza, chickenpox, norovirus gastroenteritis, rotavirus gastroenteritis weekly case numbers in a pre-pandemic period (2016-2019) and 2022 using two time series analyses approaches: (i) a predictive model forecasting weekly case numbers for the pandemic years 2020-2022, based on 2016-2019 data, (ii) interrupted time series model, based on 2016-2022 data, including a term per pandemic period.
UNASSIGNED: In 2022, incidence rates were higher compared to pre-pandemic period for influenza (IRR = 3.47, 95%CI: 1.49-7.94) and rotavirus gastroenteritis (IRR = 1.36, 95%CI: 0.95-1.93), though not significant for rotavirus gastroenteritis. Conversely, case numbers remained significantly below pre-pandemic levels for chickenpox (IRR = 0.52, 95%CI: 0.41-0.65) and norovirus gastroenteritis (IRR = 0.59, 95%CI: 0.42-0.82). Seasonality changed notably for influenza, showing an earlier influenza wave compared to pre-pandemic periods.
UNASSIGNED: The lifting of NPIs was associated with heterogenic epidemiological patterns depending on the selected disease. The full impact of NPIs and their discontinuation may only become clear with continued monitoring and assessment of potential additional contributing factors.

In late 2020, the focus of the global effort against the COVID-19 pandemic centered around the development of a vaccine, when reports of a mutated SARS-CoV-2 virus variant in a population of 17 million farmed mink came from Denmark, threatening to jeopardize this effort. Spillover infections of the new variant between mink and humans were feared to threaten the efficacy of upcoming vaccines. In this study the ensuing short-lived yet stringent lockdowns imposed in 7 of the countries 98 municipalities are analysed for their effectiveness to reduce SARS-CoV-2 infections. Synthetic counterfactuals are created for each of these municipalities using a weighted average combination of the remaining municipalities not targeted by the stringent measures. This allows for a clear overview regarding the development of test-positivity rates, citizen mobility behaviours and lastly daily infection numbers in response to the restrictions. The findings show that these targeted, short-term lockdowns significantly curtailed further infections, demonstrating a marked decrease, first in citizens mobility and then in daily cases when compared to their synthetic counterfactuals. Overall, the estimates indicate average reductions to infection numbers to be around 31%. This study underscores the potential of strict, yet severe lockdowns in breaking ongoing infection dynamics, by utilising a rare quasi-experimental design case that avoids bias introduced through treatment selection.

UNASSIGNED: Coronavirus disease 2019 occurred unexpectedly in late December 2019, it was difficult to immediately develop an effective vaccine or propose targeted medical interventions in the early stages of the outbreak. At this point, non-pharmaceutical interventions (NPIs) are essential components of the public health response to COVID-19. How to combine different NPIs in the early stages of an outbreak to control the spread of epidemics and ensure that the policy combination does not incur high socio-economic costs became the focus of this study.
UNASSIGNED: We mainly used the fuzzy set qualitative comparative analysis to assess the impact of different combinations of NPIs on the effectiveness of control in the COVID-19 pandemic early stage, using open datasets containing case numbers, country populations and policy responses.
UNASSIGNED: We showed that the configuration of high morbidity results includes one, which is the combination of non-strict face covering, social isolation and travel restrictions. The configuration of non-high morbidity results includes three, one is strict mask wearing measures, which alone constitute sufficient conditions for interpreting the results; the second is strict testing and contact tracing, social isolation; the third is strict testing and contact tracing, travel restriction. The results of the robustness test showed that the number, components and consistency of the configurations have not changed after changing the minimum case frequency, which proved that the analysis results are reliable.
UNASSIGNED: In the early stages of the epidemic, the causes of high morbidity are not symmetrical with the causes of non-high morbidity. Strict face covering is the most basic measure required to prevent and control epidemics, and the combination of non-strict face covering and containment is the most important factor leading to poor prevention and control, and the combination of strict containment and proactive pursuit is the way to achieve superior prevention and control, timely and proactive containment strategies have better prevention and control, and should mobilize the public to cooperate.

Adequate infectious disease-specific health literacy (IDSHL) is of benefit to residents in dealing with infectious diseases. This study aimed to investigate the methods by which residents acquire knowledge about infectious disease prevention and control (IDPC knowledge) so as to find effective health education methods used to improve residents\' IDSHL level. In 2022, a cross-sectional study was conducted in Shandong Province, China. Participants were recruited from rural areas by multistage sampling. The IDPC knowledge cognitive questionnaire, as a reliable and valid tool, was applied to data collection and to investigate the participants\' IDPC knowledge. Chi-square analysis was utilized to analyze the differences in possession level of IDSHL between different subgroups. The relationship between demographic factors and methods to acquire IDPC knowledge was also examined by chi-square analysis. The possession rate of adequate IDSHL among the total 2283 participants was 31.80%. There was a significant association between IDSHL level and socio-demographic factors, including age (P < .001), sex (P = .02), education (P < .001), occupation (P < .001), annual family income (P < .001), whether to use smartphones (P < .001), whether to browse WeChat on smartphones (P < .001), and whether to browse apps on smartphones except WeChat (P < .001). Univariate analysis showed that whether to adopt specific methods, including television (P = .02), WeChat on smartphones (P < .001), propaganda of infectious disease prevention and control (P < .001), and doctor\'s advice (P < .001) to acquire IDPC knowledge had significant associations with IDSHL level. Age (P < .001), education (P < .05), occupation (P < .05), and annual family income (P < .01) were associated with methods to acquire IDPC knowledge. The rural residents\' adequate IDSHL in Shandong Province, China, was not optimistic. The combination of traditional methods and Internet publicity platforms should take greater responsibility for IDSHL health education among rural populations.

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BACKGROUND: The COVID-19 pandemic resulted in the unprecedented popularity of digital financial services for contactless payments and government cash transfer programs to mitigate the economic effects of the pandemic. The effect of the pandemic on the use of digital financial services for health in low- and middle-income countries, however, is poorly understood.
OBJECTIVE: This study aimed to assess the effect of the first COVID-19 lockdown on the use of a mobile maternal health wallet, with a particular focus on delineating the age-dependent differential effects, and draw conclusions on the effect of lockdown measures on the use of digital health services.
METHODS: We analyzed 819,840 person-days of health wallet use data from 3416 women who used health care at 25 public sector primary care facilities and 4 hospitals in Antananarivo, Madagascar, between January 1 and August 27, 2020. We collected data on savings, payments, and voucher use at the point of care. To estimate the effects of the first COVID-19 lockdown in Madagascar, we used regression discontinuity analysis around the starting day of the first COVID-19 lockdown on March 23, 2020. We determined the bandwidth using a data-driven method for unbiased bandwidth selection and used modified Poisson regression for binary variables to estimate risk ratios as lockdown effect sizes.
RESULTS: We recorded 3719 saving events, 1572 payment events, and 3144 use events of electronic vouchers. The first COVID-19 lockdown in Madagascar reduced mobile money savings by 58.5% (P<.001), payments by 45.8% (P<.001), and voucher use by 49.6% (P<.001). Voucher use recovered to the extrapolated prelockdown counterfactual after 214 days, while savings and payments did not cross the extrapolated prelockdown counterfactual. The recovery duration after the lockdown differed by age group. Women aged >30 years recovered substantially faster, returning to prelockdown rates after 34, 226, and 77 days for savings, payments, and voucher use, respectively. Younger women aged <25 years did not return to baseline values. The results remained robust in sensitivity analyses using ±20 days of the optimal bandwidth.
CONCLUSIONS: The COVID-19 lockdown greatly reduced the use of mobile money in the health sector, affecting savings, payments, and voucher use. Savings were the most significantly reduced, implying that the lockdown affected women\'s expectations of future health care use. Declines in payments and voucher use indicated decreased actual health care use caused by the lockdown. These effects are crucial since many maternal and child health care services cannot be delayed, as the potential benefits will be lost or diminished. To mitigate the adverse impacts of lockdowns on maternal health service use, digital health services could be leveraged to provide access to telemedicine and enhance user communication with clear information on available health care access options and adherence to safety protocols.

Infectious disease outbreaks have become increasingly common and require global partnership for adequate preparedness and response. During outbreaks, medical countermeasures (MCMs)-vaccines, therapeutics, and diagnostics-need to reach patients quickly. Recent outbreaks exemplify that products with regulatory approval can expand access and reach patients quicker than investigational products. Unfortunately, insufficient funding globally and differences in funders\' prioritization puts gains and future efforts at risk. Of primary concern is (1) lack of a feasible regulatory path and clinical capability to achieve regulatory approval for new MCMs for many diseases; and (2) the need for partners with the mandate, funding, and capabilities to support long-term sustainment of manufacturing capability and stockpiling of licensed products. Without collaboration, the global community runs the risk of losing the capabilities built through years of investment and being underprepared to combat future threats. Synergies between funders are critical to create long-term sustainment of products to ensure access.

UNASSIGNED: Prolonged confinement can lead to personal deterioration at various levels. We studied this phenomenon during the nationwide COVID-19 lockdown in a functionally dependent population of the Orcasitas neighborhood of Madrid, Spain, by measuring their ability to perform basic activities of daily living and their mortality rate.
UNASSIGNED: A total of 127 patients were included in the Orcasitas cohort. Of this cohort, 78.7% were female, 21.3% were male, and their mean age was 86 years. All participants had a Barthel index of ≤ 60. Changes from pre- to post-confinement and 3 years afterward were analyzed, and the effect of these changes on survival was assessed (2020-2023).
UNASSIGNED: The post-confinement functional assessment showed significant improvement in independence over pre-confinement for both the Barthel score (t = -5.823; p < 0.001) and the classification level (z = -2.988; p < 0.003). This improvement progressively disappeared in the following 3 years, and 40.9% of the patients in this cohort died during this period. These outcomes were associated with the Barthel index (z = -3.646; p < 0.001) and the level of dependence (hazard ratio 2.227; CI 1.514-3.276). Higher mortality was observed among men (HR 1.745; CI 1.045-2.915) and those with severe dependence (HR 2.169; CI 1.469-3.201). Setting the cutoff point of the Barthel index at 40 provided the best detection of the risk of death associated with dependence.
UNASSIGNED: Home confinement and the risk of death due to the COVID-19 pandemic awakened a form of resilience in the face of adversity among the population of functionally dependent adults. The Barthel index is a good predictor of medium- and long-term mortality and is a useful method for detecting populations at risk in health planning. A cutoff score of 40 is useful for this purpose. To a certain extent, the non-institutionalized dependent population is an invisible population. Future studies should analyze the causes of the high mortality observed.