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Background Individuals with autism spectrum disorder (ASD) and high autistic traits (ATs) are at a higher risk of developing post-traumatic stress disorder (PTSD) following exposure to social traumatic events. However, the association between ATs and PTSD symptoms following exposure to pathogen threat-related traumatic situations, the role of sex differences in this association, and the mediating mechanism are yet unexplored. This study explored the effects of ATs, sex, and their interaction on COVID-19-related PTSD symptoms, as well as the possible mediating role of anxiety sensitivity (AS) between ATs and PTSD symptoms. Method In total, six hundred ninety-six valid participants (379 women) completed questionnaires assessing their ATs, COVID-19-related PTSD symptoms, and AS. Generalized linear model and mediation effects analyses were conducted. Results Our results showed higher levels of COVID-19-related PTSD symptoms in the high ATs group, especially in women with high AT, compared to the low ATs group. ATs also exerts a significant indirect effect on COVID-19-related PTSD symptom through AS. Conclusions The results indicate an increased vulnerability of individuals with high ATs (especially females) to COVID-19-related PTSD and the mediating mechanism of the co-occurrence of ATs-PTSD. These findings have implications for PTSD interventions for individuals with high ATs and ASD in the current COVID-19 pandemic.
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Since the outbreak of coronavirus disease 2019 (COVID-19) epidemic, the geographic information system (GIS) has played an important role in explaining the epidemic distribution, characteristics of regional transmission, risk assessment, and early prediction and warning, which greatly helped the disease control and prevention. In this study, the application of GIS in COVID-19 prevention and control was reviewed, hoping to provide reference for future improvement in the prevention and control measures.
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Objective: To explore the temporal and spatial distribution characteristics of confirmed cases of coronavirus disease(COVID-19)in Zhejiang Province and to determine the correlation between number of confirmed cases and geographical demographic factors, so as to provide theoretical basis for the prevention and control of COVID-19.
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Objective: To analyze the epidemiological characteristics and spatial-temporal clustering of coronavirus disease 2019(COVID-19)in Hebei Province in order to provide scientific basis for the formulation of prevention and control measures.
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Objective: To analyze the epidemiological characteristics and incubation of coronavirus disease 2019(COVID-19)from Jan. 22 to Mar. 8, 2020 in Anhui Province, in order to provide the basis for further understanding of the transmission pattern of COVID-19 and formulating regional control measures.
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Objective: To explore the spatiotemporal distribution of COVID-19 in Wenzhou and to provide theoretical basis for the formulation of preventive and control measures.
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Objective: To explore the related influence factors of coronavirus diseases 2019(COVID-19)in Shandong Province and understand the regional distribution characteristics of the epidemic situation, and to provide a scientific basis for guiding prevention and control strategies.
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Objective: To explore the epidemic dynamics of coronavirus disease 2019(COVID-19)in Shandong Province, and to provide a scientific basis for the future prevention and control of new outbreaks of COVID-19 and other emerging infectious diseases.
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Objective: To explore epidemic dynamics of coronavirus disease 2019 (COVID-19) in Xinyang City so as to provide scientific basis for optimizing the prevention and control strategies and evaluating the effects of intervention.
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This study explores the relationship between adolescents’ perceptions of epidemic risk and their emotions through three follow-up surveys during the early stages of the COVID-19 pandemic on February 11th (T1), 18th (T2), and 25th (T3), 2020. Three hundred and four adolescents in different academic stages (junior high middle school, senior high middle school, and university) participated in the online survey, and cross-lag analysis was used to examine the causal relationship between epidemic risk perceptions and positive and negative emotions. The results found that the individual’s positive emotions were significantly higher than the negative emotions in T1, T2 and T3. Cross-lag analysis found that for positive emotions, T2 positive emotions could negatively predict T3 epidemic risk perceptions, and T2 epidemic risk perceptions could negatively predict the individual’s T3 positive emotions. For negative emotions, risk perceptions at T1 could positively predict negative emotions at T2, and at the same time, negative emotions at T1 could also positively predict epidemic risk perceptions at T2. This indicates that during the early stages of the COVID-19 pandemic, there was a causal relationship between the perceptions of epidemic risk and the emotions of adolescents, and this relationship had high stability among groups of different genders and academic stages.
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Paper-based microfluidic devices have undergone rapid development and offered a promising low-cost platform for disease diagnostics in poor-resource areas. Recently, paper-hybrid microfluidic devices have attracted much attention and been applied in various low-cost point-of-care testings, due to multiple merits derived from both paper and other substrates. This chapter summarizes the recent progress of low-cost paper and paper-hybrid microfluidic devices for rapid diagnostics of human diseases. The commonly used fabrication techniques are first introduced, and the applications of numerous paper and paper-hybrid microfluidic devices are then elaborated with an emphasis on rapid disease diagnostics in terms of the nature of biomolecules in three major categories, namely, protein-, gene-, and cell-based diagnostics. Both advantages and disadvantages of using these devices are discussed, followed by the perspectives for broad applications in low-cost diagnostics.
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Public health can impact transportation significantly. The ongoing COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is one of such serve cases, which has resulted in a 96% reduction in air travelers from April to July 2020. Instant early detection of coronavirus on the go can prevent the wide spread of COVID-19 in public transportation vehicles, thus improving transportation health and safety. Therefore, this project aims to develop an “on-the-Go” COVID-19 quantitative diagnostic microdevice integrated with reverse transcription–LAMP (RT-LAMP) for instant early detection of COVID-19 in public transportation vehicles to improve transportation safety.
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Background: Novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), is now sweeping across the world. A substantial proportion of infections only lead to mild symptoms or are asymptomatic, but the proportion and infectivity of asymptomatic infections remains unknown. In this paper, we proposed a model to estimate the proportion and infectivity of asymptomatic cases, using COVID-19 in Henan Province, China, as an example. Methods: We extended the conventional susceptible-exposed-infectious-recovered model by including asymptomatic, unconfirmed symptomatic, and quarantined cases. Based on this model, we used daily reported COVID-19 cases from January 21 to February 26, 2020, in Henan Province to estimate the proportion and infectivity of asymptomatic cases, as well as the change of effective reproductive number, R t . Results: The proportion of asymptomatic cases among COVID-19 infected individuals was 42% and the infectivity was 10% that of symptomatic ones. The basic reproductive number R 0 = 2.73, and R t dropped below 1 on January 31 under a series of measures. Conclusion: The spread of the COVID-19 epidemic was rapid in the early stage, with a large number of asymptomatic infected individuals having relatively low infectivity. However, it was quickly brought under control with national measures.
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Background: The asymptomatic proportion is a critical epidemiological characteristic that modulates the pandemic potential of emerging respiratory virus, which may vary depending on the nature of the disease source, population characteristics, source-host interaction, and environmental factors. Methods: We developed a simple likelihood-based framework to estimate the instantaneous asymptomatic proportion of infectious diseases. Taking the COVID-19 epidemics in Hong Kong as a case study, we applied the estimation framework to estimate the reported asymptomatic proportion (rAP) using the publicly available surveillance data. We divided the time series of daily cases into four stages of epidemics in Hong Kong by examining the persistency of the epidemic and compared the rAPs of imported cases and local cases at different stages. Results: As of July 31, 2020, there were two intermittent epidemics in Hong Kong. The first one was dominated by imported cases, accounting for 63.2% of the total cases, and the second one was dominated by local cases, accounting for 86.5% of the total cases. The rAP was estimated at 23.1% (95% CI: 10.8-39.7%) from January 23 to July 31, and the rAPs were estimated at 22.6% (95% CI: 11.1-38.9%) among local cases and 38.7% (95% CI: 9.0-72.0%) among imported cases. Our results showed that the rAPs of local cases were not significantly different between the two epidemics, but increased gradually during the first epidemic period. In contrast, the rAPs of imported cases in the latter epidemic period were significantly higher than that in the previous epidemic period. Conclusion: Hong Kong has a high rAP of imported COVID-19 cases and should continue to strengthen the detection and isolation of imported individuals to prevent the resurgence of the disease.
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COVID-19 , Hong Kong/epidemiology , Humans , Likelihood Functions , Pandemics , SARS-CoV-2ABSTRACT
Identifying the susceptibility factors of the emotional response to COVID-19 is highly significant for the psychological epidemic-crisis intervention, and autistic-related traits (ATs) is likely to be one of the candidate factors. The current study explored the relationships between ATs, emotional response to COVID-19, and the behavioural immune system (BIS) measured by trait pathogen avoidance and COVID-19 risk perception in the general population. The results showed that ATs predicted increased negative emotions directly and indirectly by enhancing the activation tendency of BIS and COVID-19 risk perception. The findings provide a candidate hypothesis for the reaction characteristics to pathogen threats in individuals with ASD and expand the understanding of individual differences in response to COVID-19.
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Autistic Disorder/psychology , COVID-19/psychology , Emotions/physiology , Perception , Adolescent , Adult , Female , Humans , Immune System , Individuality , Male , Young AdultABSTRACT
The ongoing pandemic of 2019 novel coronavirus disease (COVID-19) is challenging global public health response system. We aim to identify the risk factors for the transmission of COVID-19 using data on mainland China. We estimated attack rate (AR) at county level. Logistic regression was used to explore the role of transportation in the nationwide spread. Generalized additive model and stratified linear mixed-effects model were developed to identify the effects of multiple meteorological factors on local transmission. The ARs in affected counties ranged from 0.6 to 9750.4 per million persons, with a median of 8.8. The counties being intersected by railways, freeways, national highways or having airports had significantly higher risk for COVID-19 with adjusted odds ratios (ORs) of 1.40 (p = 0.001), 2.07 (p < 0.001), 1.31 (p = 0.04), and 1.70 (p < 0.001), respectively. The higher AR of COVID-19 was significantly associated with lower average temperature, moderate cumulative precipitation and higher wind speed. Significant pairwise interactions were found among above three meteorological factors with higher risk of COVID-19 under low temperature and moderate precipitation. Warm areas can also be in higher risk of the disease with the increasing wind speed. In conclusion, transportation and meteorological factors may play important roles in the transmission of COVID-19 in mainland China, and could be integrated in consideration by public health alarm systems to better prevent the disease.
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COVID-19 , Humans , Meteorological Concepts , Pandemics , SARS-CoV-2 , TemperatureABSTRACT
BACKGROUND: The ongoing pandemic of novel coronavirus disease 2019 (COVID-19) is challenging the global public health system. Sex differences in infectious diseases are a common but neglected problem. METHODS: We used the national surveillance database of COVID-19 in mainland China to compare gender differences in attack rate (AR), proportion of severe and critical cases (PSCC), and case fatality rate (CFR) in relation to age, affected province, and onset-to-diagnosis interval. RESULTS: The overall AR was significantly higher in females than in males (63.9 vs 60.5 per 1 million persons; P Ë .001). In contrast, PSCC and CFR were significantly lower among females (16.9% and 4.0%) than among males (19.5% and 7.2%), with odds ratios of 0.87 and 0.57, respectively (both P Ë .001). The female-to-male differences were age dependent, and were significant among people aged 50-69 years for AR and in patients aged 30 years or older for both PSCC and CFR (all P ≤ .001). The AR, PSCC, and CFR varied greatly from province to province. However, female-to-male differences in AR, PSCC, and CFR were significant in the epicenter, Hubei province, where 82.2% confirmed cases and 97.4% deaths occurred. After adjusting for age, affected province, and onset-to-diagnosis interval, the female-to-male difference in AR, PSCC, and CFR remained significant in multivariate logistic regression analyses. CONCLUSIONS: We elucidate an age-dependent gender dimorphism for COVID-19, in which females have higher susceptibility but lower severity and fatality. Further epidemiological and biological investigations are required to better understand the sex-specific differences for effective interventions.