Search

In this review, we successively present the methods for phenomenological modeling of the evolution of reported and unreported cases of COVID-19, both in the exponential phase of growth and then in a complete epidemic wave. After the case of an isolated wave, we present the modeling of several successive waves separated by endemic stationary periods. Then, we treat the case of multi-compartmental models without or with age structure. Eventually, we review the literature, based on 260 articles selected in 11 sections, ranging from the medical survey of hospital cases to forecasting the dynamics of new cases in the general population. This review favors the phenomenological approach over the mechanistic approach in the choice of references and provides simulations of the evolution of the number of observed cases of COVID-19 for 10 states (California, China, France, India, Israel, Japan, New York, Peru, Spain and United Kingdom). • Social changes influencing the contact rate transmission. • Phenomenological model and predictions for epidemic outbreaks. • Time-dependent parameters identification in epidemic models. • Environmental changes influencing the contact rate of transmission. • Public health policies and mutation dynamics changing the conditions of contagion. [ABSTRACT FROM AUTHOR]

Objective: We aimed to compare the demographic and clinical characteristics, perceptions of disease, stigma, social support levels and psychosocial adaptations of patients with COVID-19 and patients with chronic infections (TB, hepatitis, HIV) who were followed as inpatients. Methods: The cross-sectional and descriptive study was conducted with 100 patients receiving inpatient treatment between January 2021 and January 2022. Criteria for selecting patients were being able to understand and speak Turkish, being at least literate, having TB, hepatitis, HIV or severe COVID-19 disease, and being an adult (over 18 years old). Data were collected using a personal information form, "Psychosocial Adjustment to Illness Scale-Self-Report", "Revised Illness Perception Questionnaire", and "Multidimensional Perceived Social Support Scale". Results: We determined that there was a significant difference in terms of demographic characteristics (age, education, marital and employment status) and hospitalization duration of individuals with COVID-19 and chronic infections (TB, hepatitis, HIV) who received inpatient treatment. There was also a significant difference in personal and treatment control, illness coherence, emotional representation dimensions, and attributions towards possible causes of the disease, as well as feelings of stigma, social support perceptions, and psychosocial adaptation. Conclusion: This study not only underscores the need for a biopsychosocial approach to individuals with contagious infectious diseases but also provides practical insights for healthcare professionals. Addressing the patients' perception of their illness early on can significantly improve patient beliefs, leading to more effective patient-centered treatment outcomes. Moreover, supporting individuals with infectious diseases in biopsychosocial management can play a crucial role in reducing psychological morbidity. [ABSTRACT FROM AUTHOR]

Copyright of Forensische Psychiatrie, Psychologie, Kriminologie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The recent impact of COVID-19, as a contagious disease, led researchers to focus on designing and fabricating personal healthcare devices and systems. With the help of wearable sensors, sensing and communication technologies, and recommendation modules, personal healthcare systems were designed for ease of use. More specifically, personal healthcare systems were designed to provide recommendations for maintaining a safe distance and avoiding contagious disease spread after the COVID-19 pandemic. The personal recommendations are analyzed based on the wearable sensor signals and their consistency in sensing. This consistency varies with human movements or other activities that hike/cease the sensor values abruptly for a short period. Therefore, a consistency-focused recommendation system (CRS) for personal healthcare (PH) was designed in this research. The hardware sensing intervals for the system are calibrated per the conventional specifications from which abrupt changes can be observed. The changes are analyzed for their saturation and fluctuations observed from neighbors within the threshold distance. The saturation and fluctuation classifications are performed using random forest learning to differentiate the above data from the previously sensed healthy data. In this process, the saturated data and consistency data provide safety recommendations for the moving user. The consistency is verified for a series of intervals for the fluctuating sensed data. This alerts the user if the threshold distance for a contagious disease is violated. The proposed system was validated using a prototype model and experimental analysis through false rates, data analysis rates, and fluctuations. [ABSTRACT FROM AUTHOR]

Following the recent pandemic of COVID-19, scientists have made many efforts to devise a workable solution for it, worldwide. However, it was shown that the protective effect of a well-conditioning system is as high as five times in comparison to the face-covering and other proposed procedures. In this context, the age of air and the type of filtration systems in closed spaces became the critical criteria for comparing the capability of ventilation systems. In this paper, a validated numerical model for the perforated duct diffusers is used to study the behaviour of the local age of air at the full-scale office with 8 feet (2.44 [m]) height, under various initial conditions like initial velocity and air change per hour. Also, different geometries for the ducts have been investigated under the same initial condition, as well as the effect of direction, ventilation effectiveness, and flow pattern. Finally, the volume average of the age of air at different zones has been nominated to perform the sensitivity analysis of each variable based on the variation of the airflow. The results show that diffusers with vertical perforations would be more effective during the pandemic than the other types in airborne mitigation. Moreover, the highest available airflow shall be set until such time there is no windy area in the breathing zone. Within these modifications, the residence time of the infectious nuclei in the breathing zone may decrease by up to 30%.

Introduction: Tuberculosis (TB) is a contagious disease and is one of the leading causes of death worldwide. TB is primarily caused by Mycobacterium Tuberculosis (MTB) and the percentage of Multi-Drug Resistance TB (MDR-TB) and Extensively Drug Resistance TB (XDR-TB) is increasing daily in many developing countries. Aim: To summarise different High-performance Liquid Chromatography (HPLC)-based methods for checking treatment adherence and drug monitoring of patients by estimating the amount of Anti-tubercular (Anti-TB) drugs in urine samples. Materials and Methods: The authors conducted a search and screened various databases (PubMed, Scopus, Web of Science, Google Scholar) using different keywords between April 2023 and June 2023. The authors included original research articles, clinical trials, and observational studies that focused on estimating anti-TB drugs in urine samples using HPLC. The authors excluded articles that employed methods other than HPLC for drug estimation in urine samples. A total of 13 articles were included in this review. Results: The authors identified 296 articles from different electronic databases and four articles from other sources (Google Scholar, ResearchGate, etc.). Ultimately, 13 articles were included describing HPLC-based methods for determining anti-TB drugs in urine samples. Data was extracted focusing on mobile phases and sample preparation/extraction procedures. Two articles of 2004 and 2014 reported simple mobile phases and sample preparation methods for estimating rifampicin and isoniazid. Additionally, articles published in the last five years have employed simple mobile phases with minimal or no extraction procedures. Conclusion: The present review summarises various HPLCbased methods reported in the literature, as it is considered the gold standard method for checking treatment adherence in TB patients. Urine samples were chosen for ease of collection, particularly from patients of different age groups, including the paediatric population. This review highlights the need for more HPLC-based methods with simple mobile phases and extraction procedures for early detection of anti-TB drugs in resource-poor settings.

Introduction: Tuberculosis (TB) is a contagious disease and is one of the leading causes of death worldwide. TB is primarily caused by Mycobacterium Tuberculosis (MTB) and the percentage of Multi-Drug Resistance TB (MDR-TB) and Extensively Drug Resistance TB (XDR-TB) is increasing daily in many developing countries. Aim: To summarise different High-performance Liquid Chromatography (HPLC)-based methods for checking treatment adherence and drug monitoring of patients by estimating the amount of Anti-tubercular (Anti-TB) drugs in urine samples. Materials and Methods: The authors conducted a search and screened various databases (PubMed, Scopus, Web of Science, Google Scholar) using different keywords between April 2023 and June 2023. The authors included original research articles, clinical trials, and observational studies that focused on estimating anti-TB drugs in urine samples using HPLC. The authors excluded articles that employed methods other than HPLC for drug estimation in urine samples. A total of 13 articles were included in this review. Results: The authors identified 296 articles from different electronic databases and four articles from other sources (Google Scholar, ResearchGate, etc.). Ultimately, 13 articles were included describing HPLC-based methods for determining anti-TB drugs in urine samples. Data was extracted focusing on mobile phases and sample preparation/extraction procedures. Two articles of 2004 and 2014 reported simple mobile phases and sample preparation methods for estimating rifampicin and isoniazid. Additionally, articles published in the last five years have employed simple mobile phases with minimal or no extraction procedures. Conclusion: The present review summarises various HPLCbased methods reported in the literature, as it is considered the gold standard method for checking treatment adherence in TB patients. Urine samples were chosen for ease of collection, particularly from patients of different age groups, including the paediatric population. This review highlights the need for more HPLC-based methods with simple mobile phases and extraction procedures for early detection of anti-TB drugs in resource-poor settings. [ABSTRACT FROM AUTHOR]

Copyright of Jangwa Pana is the property of Revista Jangwa Pana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this review, we elaborate the post-COVID-19 challenges, and also, the lesson learned out of this crisis. With over 700 million people affected worldwide and nearly 6 million deaths, COVID-19 pandemic is of unprecedented nature ever witnessed by the human race. Besides health-care challenges, there were socioeconomic consequences that still have its footprints affecting life of the citizens. We summarized these challenges, addressing the lacunae in terms of enhancing our infrastructure, logistics, and knowledge, not only about this disease, but also to adequately prepare for future pandemic of this proportion.

Brucellosis is considered one of the most hazardous zoonotic diseases all over the world. It causes formidable economic losses in developed and developing countries. Despite the significant attempts to get rid of Brucella pathogens in many parts of the world, the disease continues to spread widely. Recently, many attempts proved to be effective for the prevention and control of highly contagious bovine brucellosis, which could be followed by others to achieve a prosperous future without rampant Brucella pathogens. In this study, the updated view for worldwide Brucella distribution, possible predisposing factors for emerging Brucella pathogens, immune response and different types of Brucella vaccines, genomics and proteomics approaches incorporated recently in the field of brucellosis, and future perspectives for prevention and control of bovine brucellosis have been discussed comprehensively. So, the current study will be used as a guide for researchers in planning their future work, which will pave the way for a new world without these highly contagious pathogens that have been infecting and threatening the health of humans and terrestrial animals.

Several repercussions of the COVID‐19 pandemic and its subsequent isolation period have been reported worldwide. In this paper, we analyze the behavioral and emotional effects of 1 year of coronavirus‐related lockdown in Colombia. A cross‐sectional correlational design was used on a sample of 1853 participants from different regions, and with different levels of education, income, and employment situations. We applied the fear of coronavirus scale, the use of preventive behaviors scale, and a scale to measure pleasant and unpleasant emotions based on the circumplex model of affect. Our data shows that women, participants who were unemployed during the lockdown, and participants that study or work in legal, computational, or related fields, have been more affected in terms of unpleasant emotions. In addition, we observed a trend towards a relation between higher income and educational levels with lower degrees of fear, higher degrees of pleasant emotions, and a greater use of preventive behaviors related to the pandemic. [ABSTRACT FROM AUTHOR]

Purpose --The main purpose of this research work is to evaluate the efforts of TVET efforts' in developing and transferring useful technologies in Addis-Ababa, Ethiopia. TVET Institutions are engaged in developing and transferring technologies like hand washing devices, sanitizer sprayers, ventilators, beds, disinfection devices, sanitizers, antiviral finish fabrics, masks and hand-free devices that is used to prevent contamination of the human body while working with materials of different kinds. These equipment's posse's characteristic simple operational and quality properties like usability, functionality, efficiency, etc. The evaluation of these developed and transferred technologies help to prevent transmission of COVID-19 at community level. Design/methodology/approach -- The methodology used in this research was descriptive and purposive sampling type. The sample pool consisted of 5 TVET institutions. 40 respondents participated in this questionnaire study. The response was recorded through interview questionnaires based on the 5-point Likert Scale. Data analysis and Cronbach's alpha reliability tests were computed using SPSS and Minitab software. Practical Implications: The coronavirus is the deadly pandemic and highly contagious disease the human mankind has witnessed since 1918 flue pandemic. However, the coronavirus spread in Ethiopia at the community level has prompted many TVET (Technical Vocational and Education Training) institutions and universities to ramp up their efforts to develop and transfer technologies. Hence TVET organizations need therefore to develop and transfer technologies that are useful to prevent the spread of COVID-19. This research will help to gather the technical information pertaining to design, quality and performance of Hand washing equipment's, face masks, Hand sanitizers and other equipment's. Findings - The results prove TVET Institutions' efforts were successful in developing and transferring the technologies required to combating COVID-19. Cronbach's alpha (reliability test) value is 0.77 for the TVET colleges, indicating the data is excellent, unique and consistent. The position of the TVET institution is excellent as regards to the efforts put in developing and transferring technologies used for combating COVID-19 in and around Addis Ababa. The responses received were unique in nature. Originality/value -- COVID-19 has posed many challenges to public and has resulted in many deaths in Addis Ababa and entire Ethiopia. This work is unique and would make valuable contribution and gather information on the design and technical aspects of developed and transferred technologies by TVET Institutions used for combating COVID-19. [ABSTRACT FROM AUTHOR]

This study examines how public perception of threat and efficacy (on self and others) influence their tendency to take preventive action against the Zika virus by surveying 1,152 U.S. adults in Texas and Florida. Findings show that individuals were likely to take protective actions when they: (1) saw a high risk of the disease (high threat) and were confident about their ability to reduce the danger (high efficacy); and (2) perceived others as having a high risk (high threat), but lacked the ability to reduce the danger (low efficacy). Further, the study discusses practical implications for the design of public health campaigns. [ABSTRACT FROM AUTHOR]

ABSTRACT The aim of this study was to evaluate the health situation of chukar partridges through several diagnostic methods. We investigated a total of 224 birds in eighteen populations throughout Turkey, fourteen wild and four captive. The molecular sexing method was used for gender identification. Clinically, traumatic lesions and inflammatory reactions were the most commonly observed in the eyes and extremities of the Chukar Partridges in the breeding stations. At necropsy, the most common findings were enteritis and liver lesions. At the histopathological examination, pneumonia, anthracosis, and inflammatory changes in the digestive system were among the common findings. Interestingly, liver parasites were found in wild samples. At the immunohistochemical examinations, the tissues were evaluated for Marek’s disease (MD), Adenovirus, Avian mycobacteriosis (AMB), and Aspergillosis. While MD and AMB were not found in breeding stations, we determined them from wild populations. Aspergillus was found in both wild and captive populations; Adenovirus antigens were found only in breeding stations. When the captive and wild populations were evaluated together, MD 1.3%, AMB 0.9%, Aspergillosis 1.3%, Adenovirus 1.8% were found. The relation between sex and diseases was also examined. As a result, the data of this study showed that chukar partridges from both breeding stations and wild populations are not an important source of diseases, but especially released partridges from breeding stations may carry some microorganisms. For that reason, captive populations should be regularly monitored for contagious diseases.

Social animals are particularly exposed to infectious diseases. Pathogen-driven selection pressures have thus favoured the evolution of behavioural adaptations to decrease transmission risk such as the avoidance of contagious individuals. Yet, such strategies deprive individuals of valuable social interactions, generating a cost–benefit trade-off between pathogen avoidance and social opportunities. Recent studies revealed that hosts differ in these behavioural defences, but the determinants driving such inter-individual variation remain understudied. Using 6 years of behavioural and parasite data on a large natural population of mandrills (Mandrillus sphinx), we showed that, when parasite prevalence was high in the population, females avoided grooming their conspecifics' peri-anal region (PAR), where contagious gastro-intestinal parasites accumulate. Females varied, however, in their propensity to avoid this risky body region: across years, some females consistently avoided grooming it, while others did not. Interestingly, hygienic females (i.e. those avoiding the PAR) were less parasitized than non-hygienic females. Finally, age, dominance rank and grooming frequency did not influence a female's hygiene, but both mother–daughter and maternal half-sisters exhibited similar hygienic levels, whereas paternal half-sisters and non-kin dyads did not, suggesting a social transmission of this behaviour. Our study emphasizes that the social inheritance of hygiene may structure behavioural resistance to pathogens in host populations with potential consequences on the dynamics of infectious diseases. [ABSTRACT FROM AUTHOR]

The recent impact of COVID-19, as a contagious disease, led researchers to focus on designing and fabricating personal healthcare devices and systems. With the help of wearable sensors, sensing and communication technologies, and recommendation modules, personal healthcare systems were designed for ease of use. More specifically, personal healthcare systems were designed to provide recommendations for maintaining a safe distance and avoiding contagious disease spread after the COVID-19 pandemic. The personal recommendations are analyzed based on the wearable sensor signals and their consistency in sensing. This consistency varies with human movements or other activities that hike/cease the sensor values abruptly for a short period. Therefore, a consistency-focused recommendation system (CRS) for personal healthcare (PH) was designed in this research. The hardware sensing intervals for the system are calibrated per the conventional specifications from which abrupt changes can be observed. The changes are analyzed for their saturation and fluctuations observed from neighbors within the threshold distance. The saturation and fluctuation classifications are performed using random forest learning to differentiate the above data from the previously sensed healthy data. In this process, the saturated data and consistency data provide safety recommendations for the moving user. The consistency is verified for a series of intervals for the fluctuating sensed data. This alerts the user if the threshold distance for a contagious disease is violated. The proposed system was validated using a prototype model and experimental analysis through false rates, data analysis rates, and fluctuations.

Objective: The objective of this article is to develop a robust method for forecasting the transition from endemic to epidemic phases in contagious diseases using COVID-19 as a case study. Methods: Seven indicators are proposed for detecting the endemic/epidemic transition: variation coefficient, entropy, dominant/subdominant spectral ratio, skewness, kurtosis, dispersion index and normality index. Then, principal component analysis (PCA) offers a score built from the seven proposed indicators as the first PCA component, and its forecasting performance is estimated from its ability to predict the entrance in the epidemic exponential growth phase. Results: This score is applied to the retro-prediction of endemic/epidemic transitions of COVID-19 outbreak in seven various countries for which the first PCA component has a good predicting power. Conclusion: This research offers a valuable tool for early epidemic detection, aiding in effective public health responses.

In this review, we elaborate the post-COVID-19 challenges, and also, the lesson learned out of this crisis. With over 700 million people affected worldwide and nearly 6 million deaths, COVID-19 pandemic is of unprecedented nature ever witnessed by the human race. Besides health-care challenges, there were socioeconomic consequences that still have its footprints affecting life of the citizens. We summarized these challenges, addressing the lacunae in terms of enhancing our infrastructure, logistics, and knowledge, not only about this disease, but also to adequately prepare for future pandemic of this proportion. [ABSTRACT FROM AUTHOR]

In this paper, the effect of dangerous contagious diseases on the ability and acts and rituals of Hajj is studied. This library research concludes that if the contagious disease is dangerous and deprives the affected person from the opportunity to perform the rituals until the last possible time, he would lose the ability and in the case that his financial ability remains, he should take action in the next year. However, if he is healthy and is afraid of contracting a contagious disease existing in Saudi Arabia, if the conjecture of contracting the disease is strong and rational, the fear of contracting the disease prevents the obligation of Hajj and in case he knows or it seems strongly probable to him that preventive and appropriate measures will be taken against the spread of the disease in Saudi Arabia, such a fear does not prevent the obligation of Hajj. In that case, if, despite precautionary and preventive measures, he contacts a contagious disease and at the same time, following a physician's instructions, he is able to complete his acts and rituals before the time expires, even if he confines himself to performing the minimum obligations and rituals, his Hajj is sufficient (Mujzi). Otherwise, illness and failure to perform the acts indicate his inability in that year. [ABSTRACT FROM AUTHOR]

Copyright of Selcuk University Social Sciences Institute Journal is the property of Selcuk University Social Sciences Institute Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Pandemics disrupt the global economy. Understanding the transmission pattern of pandemics informs policies to prevent or reduce the catastrophic consequences associated with pandemics. In this study, we applied the gravity model of trade to investigate the transmission pattern of the coronavirus disease 2019 (COVID-19) across countries. The results suggest an outbreak in a country is likely to spread faster (slower) from a shrinking (booming) economy to a booming (shrinking) economy.

Respiratory tract infections (RTIs) caused by contagious viruses are common among patients presenting to the emergency department (ED). Early detection of these viruses can help prevent nosocomial transmission. To investigate the efficacy of three rapid molecular methods, namely FilmArray® Pneumonia Panel plus (FAP plus), ID NOW™ Influenza A and B 2 (ID NOW2) point-of-care test, and an in-house real-time polymerase chain reaction (RT-PCR) test, to identify patients with viral RTIs requiring isolation in an emergency setting. We included a FilmArray® Pneumonia Panel plus in the initial workup of patients with suspected RTIs during a flu season. The RT-PCR and the influenza point-of-care test were performed as part of routine diagnostics, on demand from the treating physicians. We compared viral detections and compared time to positive test results for each method. The FAP plus significantly reduced the turnaround time and was able to identify 95% patients with potential contagious viral RTI. Routine diagnostics ordered by the treating physician had a turnaround time of a median 22 h and detected 87% of patients with potential contagious viral RTI. In patients that had all three tests, the ID NOW2 detected 62% of patients with influenza. The FAP plus was able to rapidly and reliably identify patients with potential contagious viral RTIs; its use was feasible in the ED setting. Failing to test patients with viral RTI and using tests with long turnaround time may lead to nosocomial transmission of viral infections and adverse patient outcomes. [ABSTRACT FROM AUTHOR]

The National Assembly of the Republic of Serbia has adopted changes and ammendments to the Law on Protection of the Population from Contagious Diseases twice in the year 2020. The main goal of the author is to demonstrate that the adopted changes and ammendments are a "clear indicator" that certain measures adopted in order to stop and slow the spread of the contagious disease COVID-19 were without legal basis.

Background: Predicting the endemic/epidemic transition during the temporal evolution of a contagious disease., Methods: Indicators for detecting the transition endemic/epidemic, with four scalars to be compared, are calculated from the daily reported news cases: coefficient of variation, skewness, kurtosis, and entropy. The indicators selected are related to the shape of the empirical distribution of the new cases observed over 14 days. This duration has been chosen to smooth out the effect of weekends when fewer new cases are registered. For finding a forecasting variable, we have used the principal component analysis (PCA), whose first principal component (a linear combination of the selected indicators) explains a large part of the observed variance and can then be used as a predictor of the phenomenon studied (here the occurrence of an epidemic wave)., Results: A score has been built from the four proposed indicators using the PCA, which allows an acceptable level of forecasting performance by giving a realistic retro-predicted date for the rupture of the stationary endemic model corresponding to the entrance in the epidemic exponential growth phase. This score is applied to the retro-prediction of the limits of the different phases of the COVID-19 outbreak in successive endemic/epidemic transitions for three countries, France, India, and Japan., Conclusion: We provided a new forecasting method for predicting an epidemic wave occurring after an endemic phase for a contagious disease., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.)

The present work is oriented to review research related to social skills developed by university students in times of covid-19 pandemic. Understanding the management and development of social skills in the process of social interaction is relevant in the university environment to obtain an adequate professional performance. Within the framework of the results, subcategories such as strategies for the development of social skills, interpersonal relationships, collaborative work and self-esteem emerged; all of them revealing that there are, visibly, young people with social deficiencies vulnerable to depressive states or lack of self-esteem. Among the conclusions it is highlighted that, as long as an efficient social development is achieved, at the same time, the student's integral growth will be reinforced; only in this way, the deficiencies in social skills will be overcome. [ABSTRACT FROM AUTHOR]

BackgroundSince humans are social animals, social relations are incredibly important. However, in cases of contagious diseases such as the flu, social contacts also pose a health risk. According to prominent health behavior change theories, perceiving a risk for one’s health motivates precautionary behaviors. The “behavioral immune system” approach suggests that social distancing might be triggered as a precautionary, evolutionarily learned behavior to prevent transmitting contagious diseases through social contact. This study examines the link between personal risk perception for an infectious disease and precautionary behavior for disease-prevention in the context of social relationships.MethodsAt 2-week intervals during the first semester, 100 Psychology freshmen indicated their flu risk perception, whether they had been ill during the previous week, and their friendships within their freshmen network for eight time points.ResultsSocial network analysis revealed that participants who reported a high flu risk perception listed fewer friends (B = −0.10, OR = 0.91, p = 0.026), and were more likely to be ill at the next measuring point (B = 0.26, OR = 1.30, p = 0.005). Incoming friendship nominations increased the likelihood of illness (B = 0.14, OR = 1.15, p = 0.008), while the reduced number of friendship nominations only marginally decreased this likelihood (B = −0.07, OR = 0.93, p = 0.052).ConclusionIn accordance with the concept of a “behavioral immune system,” participants with high flu risk perception displayed a social precautionary distancing even when in an environment, in which the behavior was ineffective to prevent an illness.

We conducted two studies to investigate the effects of the threat of a contagious disease on people's tendency to engage in risk-taking behaviors that are not directly related to the disease, such as investment decisions. In Study 1 we demonstrated that individual differences in germ aversion influenced risk-taking tendency. Participants with relatively high germ aversion were less likely than were those with relatively low germ aversion to engage in risk-taking behaviors encompassing the ethical, investment, gambling, recreational, health, and social domains. In Study 2 we replicated the results of Study 1 in a different setting and examined the underlying process by which perceived disease threat inhibits risk taking. The findings suggest that the threat of disease-induced negative affect decreased risk-taking tendencies. This implies that precautionary behavior activated by disease-threat salience can extend beyond the health domain to a broader range of situations. [ABSTRACT FROM AUTHOR]

Background: Since humans are social animals, social relations are incredibly important. However, in cases of contagious diseases such as the flu, social contacts also pose a health risk. According to prominent health behavior change theories, perceiving a risk for one's health motivates precautionary behaviors. The "behavioral immune system" approach suggests that social distancing might be triggered as a precautionary, evolutionarily learned behavior to prevent transmitting contagious diseases through social contact. This study examines the link between personal risk perception for an infectious disease and precautionary behavior for disease-prevention in the context of social relationships. Methods: At 2-week intervals during the first semester, 100 Psychology freshmen indicated their flu risk perception, whether they had been ill during the previous week, and their friendships within their freshmen network for eight time points. Results: Social network analysis revealed that participants who reported a high flu risk perception listed fewer friends (B = −0.10, OR = 0.91, p = 0.026), and were more likely to be ill at the next measuring point (B = 0.26, OR = 1.30, p = 0.005). Incoming friendship nominations increased the likelihood of illness (B = 0.14, OR = 1.15, p = 0.008), while the reduced number of friendship nominations only marginally decreased this likelihood (B = −0.07, OR = 0.93, p = 0.052). Conclusion: In accordance with the concept of a "behavioral immune system," participants with high flu risk perception displayed a social precautionary distancing even when in an environment, in which the behavior was ineffective to prevent an illness. [ABSTRACT FROM AUTHOR]

The National Assembly of the Republic of Serbia has adopted changes and ammendments to the Law on Protection of the Population from Contagious Diseases twice in the year 2020. The main goal of the author is to demonstrate that the adopted changes and ammendments area „clear indicator” that certain measures adopted in order to stop and slow the spread of the contagious disease COVID-19 were without legal basis. [ABSTRACT FROM AUTHOR]

Background: Varicella is a mild, self-limited disease caused by varicella-zoster virus (VZV) infection. Recently, the disease burden of varicella has been gradually increasing in China; however, the epidemiological characteristics of varicella have not been reported for Anhui Province., Objective: The aim of this study was to analyze the epidemiology of varicella in Anhui from 2012 to 2021, which can provide a basis for the future study and formulation of varicella prevention and control policies in the province., Methods: Surveillance data were used to characterize the epidemiology of varicella in Anhui from 2012 to 2021 in terms of population, time, and space. Spatial autocorrelation of varicella was explored using the Moran index (Moran I). The Kulldorff space-time scan statistic was used to analyze the spatiotemporal aggregation of varicella., Results: A total of 276,115 cases of varicella were reported from 2012 to 2021 in Anhui, with an average annual incidence of 44.8 per 100,000, and the highest incidence was 81.2 per 100,000 in 2019. The male-to-female ratio of cases was approximately 1.26, which has been gradually decreasing in recent years. The population aged 5-14 years comprised the high-incidence group, although the incidence in the population 30 years and older has gradually increased. Students accounted for the majority of cases, and the proportion of cases in both home-reared children (aged 0-7 years who are not sent to nurseries, daycare centers, or school) and kindergarten children (aged 3-6 years) has changed slightly in recent years. There were two peaks of varicella incidence annually, except for 2020, and the incidence was typically higher in the winter peak than in summer. The incidence of varicella in southern Anhui was higher than that in northern Anhui. The average annual incidence at the county level ranged from 6.61 to 152.14 per 100,000, and the varicella epidemics in 2018-2021 were relatively severe. The spatial and temporal distribution of varicella in Anhui was not random, with a positive spatial autocorrelation found at the county level (Moran I=0.412). There were 11 districts or counties with high-high clusters, mainly distributed in the south of Anhui, and 3 districts or counties with high-low or low-high clusters. Space-time scan analysis identified five possible clusters of areas, and the most likely cluster was distributed in the southeastern region of Anhui., Conclusions: This study comprehensively describes the epidemiology and changing trend of varicella in Anhui from 2012 to 2021. In the future, preventive and control measures should be strengthened for the key populations and regions of varicella., (©Kun Xuan, Ning Zhang, Tao Li, Xingya Pang, Qingru Li, Tianming Zhao, Binbing Wang, Zhenqiu Zha, Jihai Tang. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 05.04.2024.)

Many public health ethics debates are construed as the rights of the collective versus the rights of the individual. This essay demonstrates that in the context of diseases which are transmitted by healthy carriers, the issue is more complex than this. Instead of arguing about competing rights, this essay argues that such debates are first about competing visions of reality, in which the individual is asked to substitute a collective understanding of their body for their own personal experience of their body. Understanding this first layer of the ethics debate in such healthy carrier situations allows us to redirect persuasive energies, moving away from a beginning-point of compliance to one of understanding, which may ultimately find a more willing public audience. [ABSTRACT FROM AUTHOR]

Copyright of Études Caribéennes is the property of Etudes Caribeennes and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Therapeutic strategies for severe hand, foot, and mouth disease (HFMD) are currently either inconsequent or deficient in evidence. We retrospectively surveyed HFMD outbreaks in Xiangyang from June 2008 to December 2013. HFMD is staged from I to V according to clinical severity. Severe HFMD is defined as a case involving the central nervous system (CNS). We analyzed risk factors for fatality of severe cases and compared the efficiency and outcome of some therapies by binary logistic regression. The overall HFMD cases included 637 (1.26%) severe cases and 38 fatalities (0.075%). Analyses indicate that age (40 mg/L), and cardiac troponin I (>0.04 ng/ml) are risk factors for fatality (all P < 0.05). Intravenous immunoglobulin (IVIG) and mechanical ventilation applied only in early stage IV significantly improved HFMD progression (both P < 0.05) with odds ratios of 0.24 (95% CI: 0.10–0.57) and 0.01 (95% CI: 0.00–0.10), respectively. Neither methylprednisolone nor milrinone administered in any stage made any significant difference on mortality (all P > 0.05). Precise recognition of the severe HFMD cases in early stage IV and prompt IVIG and mechanical ventilation application may reduce mortality. Mechanical ventilation training programs and dispatch of specialists to hospitals where there is no chance of transferring critical cases to the severe HFMD designated hospitals are two key measures to reduce fatality.

Copyright of Law & Justice Review is the property of Justice Academy of Turkey and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Global health geographic observation can provide valuable information regarding mortality rate, consequences and complications of new diseases for the epidemiologists while emerging epidemic diseases. This observation requires information resources which makes the information regarding the diseases accessible at no cost. ProMED is an immediate reporting system for diseases outbreak and it can provide the information at no cost for epidemiologists at global dimensions. This information source, which is a basis for numerous researchers worldwide, has not been used by Iranian researchers due to their unfamiliarity with it. [ABSTRACT FROM AUTHOR]