Preventive treatment for people with latent Tuberculosis infection (LTBI) has aroused our great interest. In this paper, we propose and analyze a novel mathematical model of TB considering preventive treatment with media impact. The basic reproduction number R0 is defined by the next generation matrix method. In the case without media impact, we prove that the disease-free equilibrium is globally asymptotically stable (unstable) if R0<1(R0>1). Furthermore, we obtain that a unique endemic equilibrium exists when R0>1, which is globally asymptotically stable in the case of permanent immunity and no media impact. We fit the model to the newly reported TB cases data from 2009 to 2019 of four regions in China and estimate the parameters. And we estimated R0=0.5013<1 in Hubei indicating that TB in Hubei will be eliminated in the future. However, the estimated R0=1.015>1 in Henan, R0=1.282>1 in Jiangxi and R0=1.930>1 in Xinjiang imply that TB will continue to persist in these three regions without further prevention and control measures. Besides, sensitivity analysis is carried out to illustrate the role of model parameters for TB control. Our finding reveals that appropriately improving the rate of timely treatment for actively infected people and increasing the rate of individuals with LTBI seeking preventive treatment could achieve the goal of TB elimination. In addition, another interesting finding shows that media impact can only reduce the number of active infections to a limited extent, but cannot change the prevalence of TB.

Understanding the factors that influence adolescent\'s perception of fast food and their fluid consumption is crucial for designing effective nutrition education programs tailored to this population. This study aimed to evaluate the associations of sex and the use of media and the internet with adolescents\' perception of fast foods and the amount of fluid consumption.
A cross-sectional survey was conducted on school adolescents between the ages of 15 and 18 years in Kuwait, using a multistage stratified random sampling method (N = 706 adolescents; 343 boys and 363 girls). A pre-tested and specifically designed self-report questionnaire covering several measures such as: (a) types of foods that are considered fast foods; and (b) participant\'s fluid consumption. Body weight and height were measured using calibrated medical scales. Body mass index (BMI) was computed. The adolescents were stratified by sex into two groups: boys and girls, for the purpose of analysis.
Seven out of 14 food choices showed significant sex differences (p values ranged from 0.016 to < 0.001) in the adolescents\' responses to whether they perceived such food choice as fast food or not. Although differences were found between sexes, the majority of the listed fast foods were correctly recognized as fast foods by the adolescents. In addition, there were significant differences between males and females in the amount of daily drinks (ml/week) consumed from full fat milk (males = l197.1 ± 27,652.1 and females = 1662.8 ± 2221, p = 0.013), sugar-sweetened beverage (males = 2350.8 ± 3324.3 and females = 3088.9 ± 3701.1, p = 0.004), and energy drinks (males = 429.5 ± 1117.2 and females = 267.6 ± 733.8, p = 0.037). Compared to adolescents who seldom or do not watch TV or use the internet, those who engage in these sedentary activities are less likely to classify pizza (aOR (95% CI) = 0.660 (0.440-0.990), p = 0.045), grilled meat (aOR (95% CI) = 0.674 (0.477-0.954), p = 0.026), fried egg sandwiches (aOR (95% CI) = 0.617 (0.425-0.894-0.189), p = 0.011), and rice (aOR (95% CI) = 0.598(0.409-0.875), p = 0.008) as fast foods.
The influence of TV and internet use on adolescent\'s ability to accurately identify fast foods has been observed. Findings indicate the need for increased fast food nutrition education programs that are tailored towards adolescents. The study recommends further research to enhance consumer awareness of foods and drinks among adolescents in the State of Kuwait.

We considered an SIS functional partial differential model cooperated with spatial heterogeneity and lag effect of media impact. The wellposedness including existence and uniqueness of the solution was proved. We defined the basic reproduction number and investigated the threshold dynamics of the model, and discussed the asymptotic behavior and monotonicity of the basic reproduction number associated with the diffusion rate. The local and global Hopf bifurcation at the endemic steady state was investigated theoretically and numerically. There exists numerical cases showing that the larger the number of basic reproduction number, the smaller the final epidemic size. The meaningful conclusion generalizes the previous conclusion of ordinary differential equation.

During the outbreak of emerging infectious diseases, media coverage and medical resource play important roles in affecting the disease transmission. To investigate the effects of the saturation of media coverage and limited medical resources, we proposed a mathematical model with extra compartment of media coverage and two nonlinear functions. We theoretically and numerically investigate the dynamics of the proposed model. Given great difficulties caused by high nonlinearity in theoretical analysis, we separately considered subsystems with only nonlinear recovery or with only saturated media impact. For the model with only nonlinear recovery, we theoretically showed that backward bifurcation can occur and multiple equilibria may coexist under certain conditions in this case. Numerical simulations reveal the rich dynamic behaviors, including forward-backward bifurcation, Hopf bifurcation, saddle-node bifurcation, homoclinic bifurcation and unstable limit cycle. So the limitation of medical resources induces rich dynamics and causes much difficulties in eliminating the infectious diseases. We then investigated the dynamics of the system with only saturated media impact and concluded that saturated media impact hardly induces the complicated dynamics. Further, we parameterized the proposed model on the basis of the COVID-19 case data in mainland China and data related to news items, and estimated the basic reproduction number to be 2.86. Sensitivity analyses were carried out to quantify the relative importance of parameters in determining the cumulative number of infected individuals at the end of the first month of the outbreak. Combining with numerical analyses, we suggested that providing adequate medical resources and improving media response to infection or individuals\' response to mass media may reduce the cumulative number of the infected individuals, which mitigates the transmission dynamics during the early stage of the COVID-19 pandemic.

UNASSIGNED: Social media is increasingly used in the dissemination of medical research. Traditional measures of the impact of a paper do not account for this. Altmetrics are a measure of the dissemination of a publication via social media websites. The purpose of this study is to ascertain if the altmetric attention score of an article is a reliable measure of the impact it has in the field of critical care medicine. To this end, we investigated if a correlation exists between future citation count and altmetric attention score.
UNASSIGNED: The top nine journals by impact factor in the field of critical care medicine were identified for 2014 and 2015. The 100 most cited articles from these journals were recorded to form the Scientific Impact Group, i.e. those with the greatest impact on the scientific community. The altmetric attention score was recorded for each article. The top 100 articles by altmetric attention score were also identified to form the Media Impact Group, i.e. those that generated the most online attention. Their citation counts\' were recorded. Statistical analysis was performed on each group to identify a correlation between altmetric attention score and citation count.
UNASSIGNED: There was a moderately positive correlation in the Scientific Impact Group, with a Spearman r score of 0.4336 (P = 0.0001). A weakly positive correlation was found in the Media Impact Group, with a Spearman r score of 0.3033 (P = 0.002).
UNASSIGNED: There is a positive correlation between traditional bibliographic metrics and altmetrics in the field of critical care medicine. Highly cited papers are more likely to generate online attention. However, papers that generate a lot of online attention are less likely to have a high citation count. Therefore, altmetric attention score is not a reliable predictor of future citation count in critical care medicine.

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We develop a three dimensional compartmental model to investigate the impact of media coverage to the spread and control of infectious diseases (such as SARS) in a given region/area. Stability analysis of the model shows that the disease-free equilibrium is globally-asymptotically stable if a certain threshold quantity, the basic reproduction number (), is less than unity. On the other hand, if , it is shown that a unique endemic equilibrium appears and a Hopf bifurcation can occur which causes oscillatory phenomena. The model may have up to three positive equilibria. Numerical simulations suggest that when and the media impact is stronger enough, the model exhibits multiple positive equilibria which poses challenge to the prediction and control of the outbreaks of infectious diseases.

A functional differential model of SEIS-M type with two time delays, representing the response time for mass media to cover the current infection and for individuals\' behavior changes to media coverage, was proposed to examine the delayed media impact on the transmission dynamics of emergent infectious diseases. The threshold dynamics were established in terms of the basic reproduction number [Formula: see text]. When there are no time delays, we showed that if the media impact is low, the endemic equilibrium is globally asymptotically stable for [Formula: see text], while the endemic equilibrium may become unstable and Hopf bifurcation occurs for some appropriate conditions by taking the level of media impact as bifurcation parameter. With two time delays, we comprehensively investigated the local and global bifurcation by considering the summation of delays as a bifurcation parameter, and theoretically and numerically examined the onset and termination of Hopf bifurcations from the endemic equilibrium. Main results show that either the media described feedback cycle, from infection to the level of mass media and back to disease incidence, or time delays can induce Hopf bifurcation and result in periodic oscillations. The findings indicate that the delayed media impact leads to a richer dynamics that may significantly affect the disease infections.

We proposed a delay differential model, associated with the response time for individuals to the current infection, to examine the media impact on the transmission dynamics of infectious diseases. We investigated the global bifurcation by considering the delay as a bifurcation parameter and examined the onset and termination of Hopf bifurcations from a positive equilibrium. Numerical studies to identify ranges of parameters for coexisting multiple periodic solutions are guided by the bifurcation analysis and the Matlab package DDE-BIFTOOL developed by Engelborghs et al. Further, we parameterized the proposed model on the basis of the 2009 A/H1N1 pandemic influenza data in Shaanxi province, China, and estimated the basic reproduction number to be 1.79 [95% CI (1.77-1.80)] and the time delay to be 2.94 days [95% CI (2.56-3.24)]. Our main results indicated that media impact with time delay significantly influenced the transmission dynamics of infectious diseases.

Multiple epidemiological models have been developed to model the transmission dynamics of Ebola virus (EBOV) disease in West Africa in 2014 because the severity of the epidemic is commonly overestimated. A compartmental model that incorporates the media impact and the effect of infected bats was constructed and calibrated using data reported until the end of 2014. The final cumulative number of deaths and confirmed cases were estimated to be 1.0921×104 (95% CI 9.7706×103-1.2072×104) and 1.5193×104 (95% CI 1.3593×104-1.6795×104), respectively. The epidemic was estimated to end on June 2015, which was similar to the data reported by the World Health Organization. A sensitivity analysis indicated that an increase of either the media impact or the number of infectious bats that are captured daily can increase the cumulative number of confirmed cases/deaths. Of the considered epidemiological parameters, only the media coverage can significantly reduce both the peak time and the value of the cumulative confirmed cases/deaths. Thus, we propose \'the cumulative confirmed cases and deaths\' as another media mechanism. In conclusion, the media impact contributed to the control of the 2014 Ebola outbreak, and infectious bats may be a potential source of the epidemic.