UNASSIGNED: Hypertension has become a public health challenge for Yunnan children and adolescents. The study aims is to assess the dietary and activity habits associated with hypertension in Kunming children and adolescents and to develop effective strategies for preventing and controlling, Southwest China.
UNASSIGNED: Conducted in 2019, the cross-sectional study involved 3,150 students, aged 13.25 ± 2.77 years, multistage, stratified, randomly sampled from Chenggong and Fumin areas, Southwest China.
UNASSIGNED: Among 3,150 participants, 6.19 % never drank milk, 3.46 % never consumed fresh fruit. 2.67 % never consumed fresh vegetables, 2.48 % never ate breakfast and 10.06 % frequently drank sugary beverages (soft drinking). Additionally, 21.56 % engaged in moderate-intensity exercise less than one Day a week, and 31.97 % performed high-intensity exercise less than one Day a week. The intraclass correlation coefficient indicated that 49.40 % of the total variance was attributed to the dietary level and 42.10 % was attributed to the activity level. Eating fresh vegetables and fruit, taking physical education classes they attended per week and the frequency of moderate-intensity and high-intensity exercise per week were independent protective factors for hypertension (P < 0.01); drinking sugary beverages (soft drinking) was a independent risk factor against hypertension (P < 0.05); breakfast skipping was a possible risk factor for hypertension (P < 0.15). No significant associations were found with fried food or sweet food weekly consumption (P < 0.15).
UNASSIGNED: The hypertension of children and adolescents cannot be ignored in Kunming, Southwest china. Dietary and activity factors are modifiable. We should make comprehensive child-friendly health education materials as soon as possible.

BACKGROUND: Individual immune responses to SARS-CoV-2 are well-studied, while the combined effect of these responses on population-level immune dynamics remains poorly understood. Given the key role of population immunity on pathogen transmission, delineation of the factors that drive population immune evolution has critical public health implications.
METHODS: We enrolled individuals 5 years and older selected using a multistage cluster survey approach in the Northwest and Southeast of the Dominican Republic. Paired blood samples were collected mid-pandemic (Aug 2021) and late pandemic (Nov 2022). We measured serum pan-immunoglobulin antibodies against the SARS-CoV-2 spike protein. Generalized Additive Models (GAMs) and random forest models were used to analyze the relationship between changes in antibody levels and various predictor variables. Principal component analysis and partial dependence plots further explored the relationships between predictors and antibody changes.
RESULTS: We found a transformation in the distribution of antibody levels from an irregular to a normalized single peak Gaussian distribution that was driven by titre-dependent boosting. This led to the convergence of antibody levels around a common immune setpoint, irrespective of baseline titres and vaccination profile.
CONCLUSIONS: Our results suggest that titre-dependent kinetics driven by widespread transmission direct the evolution of population immunity in a consistent manner. These findings have implications for targeted vaccination strategies and improved modeling of future transmission, providing a preliminary blueprint for understanding population immune dynamics that could guide public health and vaccine policy for SARS-CoV-2 and potentially other pathogens.
BACKGROUND: The study was primarily funded by the Centers for Disease Control and Prevention grant U01GH002238 (EN). Salary support was provided by Wellcome Trust grant 206250/Z/17/Z (AK) and the Australian National Health and Medical Research Council Investigator grant APP1158469 (CLL).

Dengue is an important vector-borne disease occurring globally. Dengue virus (DENV) infection can result in a potentially life-threatening disease. To date, no DENV-specific antiviral treatment is available. Moreover, an equally effective pan-serotype dengue virus vaccine is not available. Recently, two DENV vaccines, Dengvaxia and Qdenga, were licensed for limited use. However, none of them have been approved in Bangladesh. DENV is transmitted by Aedes mosquitoes, and global warming caused by climate change favoring Aedes breeding plays an important role in increasing DENV infections in Bangladesh. Dengue is a serious public health concern in Bangladesh. In the year 2023, Bangladesh witnessed its largest dengue outbreak, with the highest number of dengue cases (n = 321,179) and dengue-related deaths (n = 1,705) in a single epidemic year. There is an increased risk of severe dengue in individuals with preexisting DENV-specific immunoglobulin G if the individuals become infected with different DENV serotypes. To date, vector control has remained the mainstay for controlling dengue; therefore, an immediate, strengthened, and effective vector control program is critical and should be regularly performed for controlling dengue outbreaks in Bangladesh. In addition, the use of DENV vaccine in curbing dengue epidemics in Bangladesh requires more consideration and judgment by the respective authority of Bangladesh. This review provides perspectives on the control and prevention of dengue outbreaks. We also discuss the challenges of DENV vaccine use to reduce dengue epidemics infection in Bangladesh.

The number of pediatric respiratory tract infection cases in China has significantly increased this year, and Mycoplasma pneumoniae is one of the main pathogens. This study aimed to investigate the epidemiological characteristics of M. pneumoniae in children in the Anhui region and to provide evidence for the prevention and control strategies of M. pneumoniae in children in this region. A total of 66,488 pediatric patients with respiratory tract infection were enrolled from January 2015 to November 2023 in this study. The results of this study exhibited that M. pneumoniae infection in the Anhui region was characterized by a high positive rate during 2021-2023, especially this year is considered a year of pandemic for M. pneumoniae infection. Moreover, the positive rate of M. pneumoniae in female children is significantly higher than in male children, and the infection rate of M. pneumoniae in children increases significantly with age, particularly in school-aged children.
OBJECTIVE: The number of pediatric respiratory tract infection cases in China has significantly increased this year, and Mycoplasma pneumoniae is one of the main pathogens. This study aimed to investigate the epidemiological characteristics of M. pneumoniae in children in the Anhui region and provide evidence for the prevention and control strategies of M. pneumoniae in children in this region.

The COVID-19 pandemic has had a catastrophic impact on public health, extending to the food system and people\'s livelihoods worldwide, including Bangladesh. This study aimed to ascertain the COVID-19 pandemic impacts on livelihood assets in the North-Western areas (Rajshahi and Rangpur) of Bangladesh. Primary data were collected from 320 farmers engaged in high-value agriculture using a multistage sampling method. The data were analysed using first-order structural equation modelling. The findings reveal a significant impact (p < 0.01) of the pandemic on all livelihood assets in Bangladesh. Notably, human assets exhibited the highest impact, with a coefficient of 0.740, followed sequentially by financial (0.709), social (0.684), natural (0.600), physical (0.542), and psychological (0.537) assets. Government-imposed lockdowns and mobility restrictions were identified as the major causes of the pandemic\'s negative effects on livelihoods, which included lost income, rising food prices, decreased purchasing power, inadequate access to food and medical supplies, increased social insecurity, and a rise in depression, worry, and anxiety among farmers. The effects of COVID-19 and associated policy measures on the livelihoods of high-value crop farmers have reversed substantial economic and nutritional advances gained over the previous decade. This study suggests attention to the sustainable livelihoods of farmers through direct cash transfer and input incentive programs to minimize their vulnerability to a pandemic like COVID-19 or any other crisis in the future.

During the recent COVID-19 pandemic, governments implemented mobile applications for contact tracing as a rapid and effective solution to mitigate the spread of the virus. However, these seemingly straightforward solutions did not achieve their intended objectives. In line with previous research, this paper aims to investigate the factors that influence the acceptance and usage of contact-tracing mobile apps (CTMAs) in the context of disease control. The research model in this paper integrates the Unified Theory of Acceptance and Use of Technology and the Health Belief Model (HBM). The present study involved a diverse sample of 770 French participants of all genders, ages, occupations, and regions. Critical elements from the Health Belief Model, technological factors related to the app, and social factors, including the centrality of religiosity, were assessed using well-established measurement scales. The research\'s findings demonstrate that several factors, such as perceived benefits and perceived severity, social influence, health motivation, and centrality of religiosity, significantly impact the intention to use a CTMA. These findings suggest that CTMAs hold promise as valuable tools for managing future epidemics. However, addressing challenges, revising implementation strategies, and potentially collaborating with specialized industry partners under regulatory frameworks are crucial. This practical insight can guide policymakers and public health officials in their decision-making.

Background: Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) can identify patterns in data that signal the onset of epidemics and pandemics. This scoping review examines the effectiveness of AI in epidemic and pandemic early warning systems (EWS). Objective: To assess the capability of AI-based systems in predicting epidemics and pandemics and to identify challenges and strategies for improvement. Methods: A systematic scoping review was conducted. The review included studies from the last 5 years, focusing on AI and machine learning applications in EWS. After screening 1087 articles, 33 were selected for thematic analysis. Results: The review found that AI-based EWS have been effectively implemented in various contexts, using a range of algorithms. Key challenges identified include data quality, model explainability, bias, data volume, velocity, variety, availability, and granularity. Strategies for mitigating AI bias and improving system adaptability were also discussed. Conclusion: AI has shown promise in enhancing the speed and accuracy of epidemic detection. However, challenges related to data quality, bias, and model transparency need to be addressed to improve the reliability and generalizability of AI-based EWS. Continuous monitoring and improvement, as well as incorporating social and environmental data, are essential for future development.

We collected respiratory specimens from 128 pediatric patients diagnosed with pneumonia in Beijing in late 2023. Mycoplasma pneumoniae was detected in 77.3% (99/128) patients, with 36.4% (4/11), 82.9% (34/41), 80.3% (61/76) in children aged less than 3 years, 3-6 years, over 7 years, respectively. Mycoplasma pneumoniae (M. pneumoniae) was characterized using P1 gene typing, MLVA typing and sequencing of domain V of the 23S rRNA gene. P1 gene type 1 (P1-1; 76.1%, 54/71) and MLVA type 4-5-7-2 (73.7%, 73/99) were predominant. MLVA identified a new genotype: 3-4-6-2. Macrolide resistance-associated mutations were detected in 100% of samples, with A2063G accounting for 99% and A2064G for 1%. The positive rate of M. pneumoniae was higher compared to previous reports, especially in children less than 3 years, suggesting a M. pneumoniae epidemic showing a younger age trend occurred in late 2023 in Beijing, China. Higher proportions of macrolide-resistant M. pneumoniae, P1-1 and 4-5-7-2 genotype M. pneumoniae indicated increased macrolide resistance rate and genotyping shift phenomenon, which might be attributable to this epidemic. Additionally, complete clinical information from 73 M. pneumoniae pneumonia inpatients were analyzed. The incidence of severe M. pneumoniae pneumonia was 56.2% (41/73). Mycoplasma pneumoniae pneumonia patients exhibited longer duration of fever, with a median value of 10.0 days (IQR, 8.0-13.0), and higher incidence of complications (74.0%, 54/73). However, in this cohort, we found that the severity of M. pneumoniae pneumonia, co-infection, or complications were not associated with M. pneumoniae P1 gene or MLVA types. Clinicians should be aware that patients infected with macrolide-resistant M. pneumoniae exhibited more severe clinical presentations.

BACKGROUND: Reports of allergic contact dermatitis (ACD) to phytonadione epoxide (PE) in cosmetics suggest that PE is as powerful a sensitiser as its parent compound phytonadione.
OBJECTIVE: To evaluate a case series of ACD to PE in Spain.
METHODS: We reviewed the records of 20 patients with ACD to cosmetics containing PE diagnosed across Spain between January 2019 and June 2023.
RESULTS: All 20 patients developed patch test (PT) or repeated open application test (ROAT) reactions to cosmetics containing PE. All involved women with eyelid eczema. PT or ROAT with PE preparations were positive in 17/20 (85%). PE at 1%, 5%, 10% and 20% in pet. was patch-tested in 8/17, 14/17, 11/17 and 8/17 patients; being positive in 6/8 (75%), 13/14 (92.85%), 11/11 (100%) and 8/8 (100%), respectively.
CONCLUSIONS: Regulators should, not only ban the specific dangerous cosmetic ingredients, but also consider to ban or keep under close surveillance those closely related products or derivatives that might potentially cause similar harmful effects. PTs with PE are suggested to be performed at a 5% concentration in pet. Higher concentrations (10% pet.) should be tested whenever PTs with 5% pet. PE are negative.

Although the impact of the first wave of the COVID-19 pandemic on people with several neurological diseases has been largely investigated, little is available concerning people with Huntington\'s disease (HD). The main objective of the study was to interview people with HD and their caregivers in the Auvergne-Rhone Alpes region, France. The interview consisted of 16 items concerning general and medical information, and the impact of the first wave of COVID-19 pandemic on the medical care of people with HD and on their caregivers. The questionnaire was made available as online survey from October 1st, 2020 until November 15th, 2020. Fifty-two subjects participated (13 men, 39 women, mean age of 47.3 ± 15.5 years). Almost half participants (48%) experienced a worsening of pre-existing symptoms, with new-onset symptoms in the 44% of cases. The most frequent worsening was reported in gait and balance issues (67%), fatigue (58%), anxiety (50%), and depression (50%). The 70.8% of participants reported an inappropriate overall care of HD due to long delays to access medical care (30%) and other health care teams (60%). More than half of the participants (54.2%) reported that the COVID-19 pandemic had a negative impact on their caregiver/family. Our findings emphasize the negative impact of the first wave of COVID-19 pandemic on the healthcare of HD population and their caregivers. Not only some symptoms were aggravated, but new symptoms appeared during the pandemic. In the future, health policies should be considered to improve the care of patients with rare diseases such as HD.