Antimicrobial resistance (AMR) poses a significant threat to global health, impairing the efficacy of treatments against various infections. The World Health Organization highlights the impact of AMR on healthcare outcomes, including increased morbidity, mortality, and costs. Vaccination is a pivotal strategy to counter AMR, promoting immune defenses against infections and subsequently reducing the need for antimicrobials. This article assesses the role of vaccination in managing AMR, particularly within the scope of antimicrobial stewardship programs (ASPs), by reviewing the effectiveness of existing vaccination strategies and their integration into the community. A comprehensive literature review was concluded using databases such as Google Scholar, Scielo, and PubMed, analyzing studies from 2005 to 2024. A total of 13 studies were included after screening 132 articles for relevance and eligibility. The studies highlight the substantial role of vaccines in reducing the reliance on antibiotics, especially for vulnerable populations, such as the elderly, children, and those with chronic conditions. For instance, the introduction of conjugate pneumococcal vaccines significantly decreased rates of drug-resistant Streptococcus pneumoniae infections. The review also discusses the indirect benefits of widespread vaccination, including herd immunity and decreased transmission of resistant strains. Vaccination is a critical element in the fight against AMR. Well-coordinated ASPs, by facilitating comprehensive vaccination programs, can significantly mitigate the rise of resistant infections, optimize antimicrobial usage, and improve patient outcomes in healthcare settings. The strategies outlined reflect global health objectives and emphasize the need for sustained efforts to enhance vaccine coverage and acceptance.

UNASSIGNED: on October 18, 2023, the Ministry of Health declared an outbreak of cholera in the Lusaka district. Public health interventions were implemented using a multisectoral approach in the Lusaka district and other hotspots in the country. We documented the multisectoral response efforts and their impacts on the cholera epidemic in the Lusaka district of Zambia. We highlighted the major challenges and their associated impacts on the epidemiologic patterns of disease in hotspot areas.
UNASSIGNED: we conducted a descriptive observational study of cholera response activities in the Lusaka district. We used quantitative and qualitative non-participant techniques using the Centers for Disease Prevention and Control\'s direct in-person observation tool in healthcare settings. We reviewed surveillance records to estimate the magnitude of the outbreak, and characterized cases by person, place, and time. We documented the response interventions and challenges using situation reports.
UNASSIGNED: during the 2023 - 2024 cholera outbreak, Lusaka district was the most affected district with 13,122 cases and 498 deaths as of 12th February 2024. Despite having a well-established system for coordinating technical support and resource mobilization, inadequate sanitation and limited access to clean water remained potential risks for cholera outbreaks in Lusaka district.
UNASSIGNED: Lusaka district may have experienced one of the most severe cholera epidemics in the nation\'s history, as indicated by its rapid spread and increased mortality reported from both the community and treatment centers. A multisectoral coordination for improved sanitary systems, access to clean water, health education strategies, and vaccination campaigns contributed to the decline in cholera cases.

This case study describes the experience of the German Permanent Working Group of Competence and Treatment Centers for High Consequence Infectious Diseases, known as STAKOB (Ständiger Arbeitskreis der Kompetenz- und Behandlungszentren für Krankheiten durch hochpathogene Erreger). STAKOB brings together public health authorities (competence centers) and high-level isolation units (treatment centers) to collaborate on the clinical management of high-consequence infectious diseases (HCIDs) and emerging infectious diseases. The network is coordinated by the Robert Koch Institute, Germany\'s federal public health institute. The main tasks of STAKOB are to strengthen HCID clinical and public health management and increase expert knowledge on HCID and non-HCID emerging infectious diseases in Germany. STAKOB enables the exchange of knowledge and experiences; development of guidelines on infection prevention and control measures, clinical management, and therapy; and support for the World Health Organization and other outbreak responses internationally. The past years have shown how important the STAKOB network is for Germany-not only in providing critical care for HCID cases but also increasing capacity to support public health and clinical management of emerging infectious disease cases. However, maintaining several high-level isolation units in Germany requires a high commitment of financial, material, and human resources. Due to the rarity of HCID and emerging infectious disease events, maintaining the appropriate level of preparedness and ensuring sufficient investments is an ongoing struggle. Nevertheless, it is essential to have a network ready to react to HCID and non-HCID emerging infectious diseases in times of a changing biosecurity and infectious landscape.

Evaluating stroke campaigns and associated behavioural changes is crucial to assess intervention effectiveness and inform future strategies. We aimed to evaluate patient\'s and bystanders\' foreknowledge of stroke signs and symptoms and their response at stroke onset. We interviewed stroke patients using a validated questionnaire or their bystanders if the stroke patient had disabling stroke. The questionnaire was administered to 165 participants, 142 (86.1%) stroke patients and 23 (13.9%) bystanders. The mean age was 52.6 (SD = 11.7), and male-female ratio was 7:1. Among the participants, 33 (20.1%) had foreknowledge of stroke signs, and of these, 27 (16.5%) were aware of the stroke campaign in Qatar. The behavioural responses at stroke onset included; activating Emergency Medical Services (EMS) (n = 55, 33.3%), calling friends/relatives (n = 69, 41.8%), driving to hospital (n = 33, 20%), waiting for improvement in condition (n = 21, 12.7%). There was no association of ethnicity, marital status, or campaign awareness with EMS activation. Despite limited community awareness of stroke signs and campaign, help-seeking behaviour through EMS activation was generally high, underscoring the need for focused educational efforts and public health interventions.

Traffic-related emissions continue to be a significant source of air pollution in the United States (US) and around the globe. Evidence has shown that previous policies implemented to restrict-traffic flows have affected air pollution levels. Thus, mitigation strategies associated with the COVID-19 pandemic that modified population-level mobility patterns provide a unique opportunity to study air pollution change across the US. For instance, to slow the spread of the pandemic, state and local governments started implementing various mitigation actions, including stay-at-home directives, social distancing measures, school closures, and travel restrictions. This scoping review aimed to summarize the existing evidence about how air quality changed through mitigation practices throughout the pandemic in the US. We found 66 articles that fit our inclusion criteria. Generally, the consolidated results revealed that nitrogen dioxide (NO2) and carbon monoxide (CO) decreased across the country. Studies observed mixed directions and magnitudes of change for fine and coarse particulate matter (PM2.5, PM10), ozone (O3), and sulfur dioxide (SO2). Few articles tried to explain this notable heterogeneity in air quality changes by associating contextual factors, such as mobility, traffic flow, and demographic factors. However, all studies agreed that the change in air pollution was nonuniform across the US and even varied within a city.

UNASSIGNED: Obesity affects 14.7 million children and adolescents in the United States. Children\'s health behaviors are affected by parental health practices. Therefore, pediatric obesity interventions should include parents. The objective of this study was to assess the changes in self-reported health behaviors in a diverse population attending the TEEEN program, with motivational interviewing of child-parent dyads as a key component, for 1 year.
UNASSIGNED: Here we assessed the changes in Family and Nutrition and Physical Activity (FNPA) screening tool scores, a tool that assesses obesogenic behaviors, in the context of MI of child-parent dyads in a racially, ethnically, and socioeconomically diverse population who attended the TEEEN (Teens, Empowerment, Education, Exercise, Nutrition) program, a nonclinic and family-based behavior program in Massachusetts, for 1 year.
UNASSIGNED: Participation in the TEEEN program, which includes MI of child-parent dyads, was associated with a significant increase in the overall FNPA score (median change= 4 points, P = .007). We observed that 76.5% of children experienced a decrease in BMI% and BMI z-score. The change in BMI% (median= -0.9, P = .006) and change in BMI z-score (median= -0.2, P = .008) were statistically significant.
UNASSIGNED: Participation in the TEEEN program seemed to be beneficial based on aspects of the FNPA screening tool and changes in weight parameters. The FNPA screening tool enhanced-motivational interviewing of child-parent dyads shows promise as an approach to address obesogenic behaviors. This study provides a detailed framework for medical providers to address pediatric obesity in a nonclinic setting with less time constraints.

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Accurate predictive modeling of pandemics is essential for optimally distributing biomedical resources and setting policy. Dozens of case prediction models have been proposed but their accuracy over time and by model type remains unclear. In this study, we systematically analyze all US CDC COVID-19 forecasting models, by first categorizing them and then calculating their mean absolute percent error, both wave-wise and on the complete timeline. We compare their estimates to government-reported case numbers, one another, as well as two baseline models wherein case counts remain static or follow a simple linear trend. The comparison reveals that around two-thirds of models fail to outperform a simple static case baseline and one-third fail to outperform a simple linear trend forecast. A wave-by-wave comparison of models revealed that no overall modeling approach was superior to others, including ensemble models and errors in modeling have increased over time during the pandemic. This study raises concerns about hosting these models on official public platforms of health organizations including the US CDC which risks giving them an official imprimatur and when utilized to formulate policy. By offering a universal evaluation method for pandemic forecasting models, we expect this study to serve as the starting point for the development of more accurate models.

Dengue fever (DF) is a pervasive public health concern in tropical climates, with densely populated regions, such as India, disproportionately affected. Addressing this issue requires a multifaceted understanding of the environmental and sociocultural factors that contribute to the risk of dengue infection. This study aimed to identify high-risk zones for DF in Jaipur, Rajasthan, India, by integrating physical, demographic, and epidemiological data in a comprehensive risk analysis framework. We investigated environmental variables, such as soil type and plant cover, to characterize the potential habitats of Aedes aegypti, the primary dengue vector. Concurrently, demographic metrics were evaluated to assess the population\'s susceptibility to dengue outbreaks. High-risk areas were systematically identified through a comparative analysis that integrated population density and incidence rates per ward. The results revealed a significant correlation between high population density and an increased risk of dengue, predominantly facilitated by vertical transmission. Spatially, these high-risk zones are concentrated in the northern and southern sectors of Jaipur, with the northern and southwestern wards exhibiting the most acute risk profiles. This study underscores the importance of targeted public health interventions and vaccination campaigns in vulnerable areas. It further lays the groundwork for future research to evaluate the effectiveness of such interventions, thereby contributing to the development of robust evidence-based strategies for dengue risk mitigation.

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