Analyzing and mapping the research status, hotspots, and frontiers of biological wound dressings: An in-depth data-driven assessment.

Wound dressings can be applied over the wound sites to provide long-lasting wound management and improve wound healing. Biological wound dressings are superior to synthetic materials due to biodegradability and biocompatibility. These biomaterials have demonstrated huge potential in the field of wound dressings. Applying bibliometric analysis combined with results-based descriptions to characterize the research status, hotspots, and cutting-edge topics, this study is the first in-depth qualitative, quantitative, data-driven overview of biological wound dressings research in recent decades. Filtered data were used to construct co-citation, heatmaps, bi-clustering, strategy maps, and other analyses and visualization. The results show that research on biological wound dressings has progressed considerably in the last 5 years with extensive global collaboration. A clear knowledge base has been developed. Chitosan hydrogels, bacterial cellulose, active agents (silver nanoparticles, growth factors, curcumin, etc.), and electrospinning fibers stand out as research hotspots. The research frontiers include novel starting materials, precise and controlled release systems, and clinical and regenerative medicine applications. We interpreted an overview of the excavated topics and expected the findings here to provide a guide and inspire innovations for developing the next generation wound dressings.

Associations between Public Fear of COVID-19 and Number of COVID-19 Vaccinations: A County-Level Longitudinal Analysis.

BACKGROUND AND PURPOSE: A large number of COVID-19 infections and deaths and the ensuing socioeconomic problems created widespread public fear around COVID-19. Fear around COVID-19 greatly influences people's attitudes towards receiving the COVID-19 vaccines. The purpose of this study is examining (a) the impact of the public fear of COVID-19 (PFC) on the number of COVID-19 vaccinations at the county level; (b) the interaction effect between the PFC and per capita income, unemployment rates, and COVID-19 vaccines incentive policies, on the number of COVID-19 vaccinations at the county level. METHOD: This is a longitudinal analysis across states in the U.S. by using county-level data of 2856 counties from 1 February to 1 July. Random-effects models were adopted to analyze the associations between the PFC and the number of COVID-19 vaccinations. RESULT: the PFC was positively associated with the number of COVID-19 vaccinations at county-level, as PFC increases from 0 to 300, the predicted vaccination number increases from 10,000 to 230,000. However, the associations were divergent when the PFC interacts with county-level per capita income, unemployment rates, and incentive policies. CONCLUSION: public fear is an important indicator for the county-level vaccination numbers of COVID-19. However, it is critical to consider public fear and socioeconomic factors when making policies that aim to increase COVID-19 vaccination rates.

Associations between Bonus and Lottery COVID-19 Vaccine Incentive Policies and Increases in COVID-19 Vaccination Rates: A Social Epidemiologic Analysis.

The objectives of this longitudinal study were to analyze the impact of COVID-19 vaccine incentive policies (e.g., bonuses and lottery entries) on county-level COVID-19 vaccination rates, and to examine the interactive effects between COVID-19 vaccine incentive policies and socioeconomic factors on COVID-19 vaccination rates. Using publicly available data, county-level COVID-19 vaccination rates and socioeconomic data between January 2021 and July 2021 were extracted and analyzed across counties in the United States (US)-an analysis of 19,992 observations over time. Pooled ordinary least squares (OLS) analysis was employed to longitudinally examine associations with COVID-19 vaccination rates, and four random-effects models were developed to analyze interaction effects. Bonus incentive policies were effective in counties with a high per capita income, high levels of education, and a high percentage of racial minorities, but not in counties with high unemployment. Lottery incentive policies were effective in counties with a high percentage of racial minorities, but not in counties with high per capita income, high levels of education, and high unemployment. County-level socioeconomic factors should be considered ahead of implementing incentive policies, versus a blanket approach, to avoid the unintentional misuse of economic resources for futile COVID-19 vaccination outcomes.

An Epidemiologic Analysis of Associations between County-Level Per Capita Income, Unemployment Rate, and COVID-19 Vaccination Rates in the United States.

The purpose of this longitudinal study was to examine associations between per capita income, unemployment rates, and COVID-19 vaccination rates at the county-level across the United States (U.S.), as well as to identify the interaction effects between county-level per capita income, unemployment rates, and racial/ethnic composition on COVID-19 vaccination rates. All counties in the U.S. that reported COVID-19 vaccination rates from January 2021 to July 2021 were included in this longitudinal study (n = 2857). Pooled ordinary least squares (OLS) with fixed-effects were employed to longitudinally examine economic impacts on racial/ethnic disparities on county-level COVID-19 vaccination rates. County-level per capita income and county-level unemployment rates were both positively associated with county-level COVID-19 vaccination rates across the U.S. However, the associations were divergent in the context of race/ethnicity. Public health efforts to bolster COVID-19 vaccination rates are encouraged to consider economic factors that are associated with decreases in COVID-19 vaccination rates.

The complementary and substitutive value of online health information.

The Internet plays a significant role in health information searching, sharing and emotional support. However, scholars have devoted little attention to the complementary and substitute value of online health information from diseases, especially chronic diseases, health insurance, barriers to health resources and their interaction effects with income. This research uses data from the 2020 Health Information National Trends Survey (HINTS 2020), the latest HINTS survey that includes seeking online health information questions critical to this research. This paper proposes that the factors contributing to seeking online health information can be categorized into two modalities - complementary and substitutive. Concerning the complementary value, I argue that individuals with certain health conditions use online health information as a complementary health resource in addition to traditional health resources such as doctors to understand their health issues better. Online health information also functions as substitute information sources for individuals who have experienced more barriers to typical health information resources.

Death by political party: The relationship between COVID-19 deaths and political party affiliation in the United States.

This study explored social factors that are associated with the US deaths caused by COVID-19 after the declaration of economic reopening on May 1, 2020 by President Donald Trump. We seek to understand how county-level support for Trump interacted with social distancing policies to impact COVID-19 death rates. Overall, controlling for several potential confounders, counties with higher levels of Trump support do not necessarily experience greater mortality rates due to COVID-19. The predicted weekly death counts per county tended to increase over time with the implementation of several key health policies. However, the difference in COVID-19 outcomes between counties with low and high levels of Trump support grew after several weeks of the policy implementation as counties with higher levels of Trump support suffered relatively higher death rates. Counties with higher levels of Trump support exhibited lower percentages of mobile staying at home and higher percentages of people working part time or full time than otherwise comparable counties with lower levels of Trump support. The relative negative performance of Trump-supporting counties is robust after controlling for these measures of policy compliance. Counties with high percentages of older (aged 65 and above) persons tended to have greater death rates, as did more populous counties in general. This study indicates that policymakers should consider the risks inherent in controlling public health crises due to divisions in political ideology and confirms that vulnerable communities are at particularly high risk in public health crises.

A comprehensive assessment of genetic variation in serotonin transporter gene (5-HTTLPR+rs25531) and the response to dapoxetine in Chinese patients with premature ejaculation.

This study was to explore whether serotonin transporter gene-linked polymorphic region polymorphisms (5-HTTLPR+rs25531) influence the response to dapoxetine treatment in a Chinese population with premature ejaculation (PE). 112 patients with PE re-enrolled from our previous study received dapoxetine monotherapy. At the endpoint, patients with S'S' had a significant increased risk of nonresponse compared with L' carriers (p < .001). The improvement in S'S' genotype was significantly lower in premature ejaculation profile (PEP) items of 'control over ejaculation' (p = .035) and 'distress related to ejaculation' (p = .017) than that in L' carriers. As to clinical global impression of change (CGIC), results in S'S' subjects showed significantly lower scores (p = .008) and a less satisfaction rate reporting at least 'better' (p = .020) compared with L' carriers. Moreover, our findings suggested that patients with S'S' were more likely to develop adverse effects (AEs) compared with L' carriers (p = .040). This study suggests that PE patients bearing the S'S' genotype have an inferior comprehensive efficacy and safety of dapoxetine treatment, which consist of poorer response in IELTs, less improvement in patient-reported outcome (PRO) measures and greater incidence of AEs, than L' carriers. Variants of triallelic 5-HTTLPR may play a major role as a predictor of treatment response to dapoxetine.

Decomposition and decoupling analysis of carbon dioxide emissions from economic growth in the context of China and the ASEAN countries.

China and the Association of Southeast Asian Nations (ASEAN), as the engine of world economic development, are facing tremendous challenges concerning the balance between economic growth and low-carbon development. Nevertheless, previous studies on the relationship between economic growth and carbon emissions have seldom been contextualized in this region. The paper analyses the decoupling elasticity between carbon dioxide (CO2), the gross domestic product (GDP) and energy consumption in China and the ASEAN countries over the period 1990-2014. Based on the Log-Mean Divisia Index (LMDI), it explores the effect of four factors on the total changes in CO2 emissions, namely the carbon density effect, energy intensity effect, economic effect in terms of per capita GDP and population effect. The study shows that the economic effect in terms of per capita GDP is the dominant driving force for the increase in CO2 emissions. The carbon density and population effects also play a role in this regard. Energy intensity has contributed significantly to the decrease in CO2 emissions in most of the examined countries. To decouple economic growth from environmental pressure, energy policies in China and the ASEAN countries need to scale up the share of renewable energy, increase the efficiency of energy use and implement green development as long-term targets in the region.

Quantity⁻Quality Trade-Off and Early Childhood Development in Rural Family: Evidence from China's Guizhou Province.

This paper empirically investigates the causal effect of having siblings on the cognitive, language, motor, and social-emotional skills of infants under the age of 2 in rural families in Guizhou Province in China. The results are based on data from a survey conducted in 2017. To effectively relieve the endogeneity induced by selection bias, we applied the matching-smoothing (MS) method to evaluate the effects of having siblings. The results show that, first, having siblings produces significant negative impacts on an infant's cognitive, language, and social-emotional skills; second, intrahousehold resource allocation is the mechanism behind the Quantity-Quality (Q-Q) trade-off, and it exerts its effects through two key identified channels-the home environment and parental warmth. By spreading the parents' investment among siblings in terms of both the home environment and parental warmth, having siblings hinders infants' early development. Our findings provide new evidence for the relation between the Q-Q trade-off and early childhood development in rural families in western China.

Application of the WEAP model in strategic environmental assessment: Experiences from a case study in an arid/semi-arid area in China.

This article investigated how the use of a water resources assessment model contributed to one of the first strategic environmental assessments (SEA) conducted for arid/semi-arid regions in China. The study was based on the SEA of a coal industry development plan in Ordos, an arid/semi-arid region of northwest China, where a temporally and spatially simplified version of the WEAP (Water Evaluation And Planning System) model was applied for assessing the impact of the planned activities on local water resource system. Four scenarios were developed to simulate various alternatives using a diverse range of water utilisation measures such as irrigation efficiency, treatment and the reuse of water. The WEAP model itself was found to be a useful tool for efficient water resources assessment in SEA: 1) WEAP provides built-in simulation modules for water assessment, which improve the SEA's efficiency significantly; 2) WEAP temporally has the flexibility in both delivering information on a reasonably aggregated level by evaluating water resource on an annual time step, which fits most SEA cases, and being possible to take a finer time step analysis monthly, weekly even daily; 3) Spatially, WEAP has advantage in dealing with distributed demand sites in large spatial scale. However, although WEAP appears as a useful tool in providing support for decision-making, in this SEA case we experienced difficulty in building a feasible scenario to mitigate the impact of the proposed activities on the local water system, so that solution had to be found outside of the assessed scenarios - which led to the discussion on the fact that the proposed activities in SEA cases are rarely regarded as an uncertainty. Therefore future research on the scope of SEA scenarios could be valuable.

Optimizing adaptive design for Phase 2 dose-finding trials incorporating long-term success and financial considerations: A case study for neuropathic pain.

In this paper, we propose an adaptive randomization design for Phase 2 dose-finding trials to optimize Net Present Value (NPV) for an experimental drug. We replace the traditional fixed sample size design (Patel, et al., 2012) by this new design to see if NPV from the original paper can be improved. Comparison of the proposed design to the previous design is made via simulations using a hypothetical example based on a Diabetic Neuropathic Pain Study.

Indicators' role: How do they influence Strategic Environmental Assessment and Sustainable Planning - The Chinese experience.

As an information carrier and communication medium, indicators provide useful decision-making assistance in setting process goals and effectively reaching the goals. The main focus of this article is to investigate indicators' role in influencing planning through Strategic Environmental Assessment (SEA) especially related to Chinese experiences. From the perspective of planning and decision-making theory, the influence on planning is studied as influence of planning structure and influence of planning actors. Such a conceptual framework is applied in order to demonstrate how the use of indicators can influence planning through a SEA process. The study holds two empirical levels. On a general level, based on an online survey, this article investigates SEA practitioners' experiences in using indicators. On a case level, two urban plans are selected to provide more detailed experiences. The case level investigation is based on a documentary study and individual interviews with SEA practitioners/planners. By exploring how indicators influence planning through the structure of and the actors within SEA, this study tries to provide an overview of indicators' role in SEA. The results indicate that indicators are perceived as a useful tool in the Chinese SEA system. By improving and simplifying the procedures of SEA, the indicators exert more structural influence on SEA and on plan making. On the other hand, indicators are also shown to have more influence through political actors than found among technical actors.

Pharmacoeconomic analysis of palifermin to prevent mucositis among patients undergoing autologous hematopoietic stem cell transplantation.

Trials have shown benefits of palifermin in reducing the incidence and severity of oral mucositis in patients with hematological malignancies undergoing autologous hematopoietic stem cell transplantation (HSCT) with total body irradiation (TBI)-based conditioning regimens. Similar outcome data are lacking for patients receiving non-TBI-based regimens. We performed a retrospective evaluation on the pharmacoeconomic benefit of palifermin in the setting of non-TBI-based conditioning and autologous HSCT. Between January 2002 and December 2010, 524 patients undergoing autologous HSCT for myeloma (melphalan 200 mg/m²) and lymphoma (high-dose busulfan, cyclophosphamide, and etoposide) as preparative regimen were analyzed. Use of patient-controlled analgesia (PCA) was significantly lower in the palifermin-treated groups (myeloma: 13% versus 53%, P < .001; lymphoma: 46% versus 68%, P < .001). Median total transplant charges were significantly higher in the palifermin-treated group, after controlling for inflation (myeloma: $167,820 versus $143,200, P < .001; lymphoma: $168,570 versus $148,590, P < .001). Palifermin treatment was not associated with a difference in days to neutrophil engraftment, length of stay, and overall survival and was associated with an additional cost of $5.5K (myeloma) and $14K (lymphoma) per day of PCA avoided. Future studies are suggested to evaluate the cost-effectiveness of palifermin compared with other symptomatic treatments to reduce transplant toxicity using validated measures for pain and quality of life.

A practical and green approach toward synthesis of 2,4,5-trisubstituted imidazoles without adding catalyst.

A simple, efficient, and inexpensive procedure has been developed for the synthesis of 2,4,5-triaryl imidazoles by a three-component, one-pot condensation of benzyl, aldehydes, and ammonium acetate in refluxing ethanol without adding catalyst. The "catalyzed-by-itself" approach shows a new direction in green synthesis of the title products.