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Abstract Newcastle disease virus (NDV) is a significant member of the Paramyxoviridae family, known for causing epidemics and substantial economic losses in the poultry industry worldwide. The NDV RNA genome primarily encodes six structural proteins (N, P, M, F, HN, and L) and two non-structural proteins (V and W). Among these, the polymerase-associated proteins (N, P, and L) and the viral RNA (vRNA) genome form the ribonucleoprotein complex, which plays a crucial role in the synthesis and transcription of NDV vRNA. In the last two decades, numerous studies have demonstrated that the polymerase-associated proteins are linked to the virulence, pathotype, and thermostability of NDV. Additionally, the interactions between these polymerase-associated proteins and host proteins are closely related to the NDV’s replication and pathogenicity. Despite significant progress in understanding the unique and shared functions of NDV polymerase-associated proteins, research on these viral proteins’ structure and function is less comprehensive than other NDV proteins, and the available information is often scattered. Therefore, this article systematically summarises and reviews the research progress made in understanding the structural features, virulence, pathotype, and thermostability correlation of NDV polymerase-associated proteins, as well as the critical roles of interactions between polymerase-associated proteins and host proteins in NDV replication and pathogenicity. This review aims to enhance our understanding of the complex functions of polymerase-associated proteins in NDV replication and pathogenesis and to contribute to the development of more effective vaccines and antiviral drugs against NDV challenges.

Supergravity is a noncontact volumetric force; when there is a density difference between the two phases, supergravity can strengthen their separation. The removal of nonmetallic inclusions in steel by supergravity technology not only does not cause molten steel to stir back to the mixing but also promotes the rapid floating of inclusions and shortens their floating time in the molten steel. Small inclusions that are difficult to remove can be removed using a supergravity field. The shape of the inclusions affects their floating behavior in molten steel. To study this effect, this study uses the fluid–structure interaction method to track the computational fluid–solid interface state, constructs three inclusions with different aspect ratios in a two-dimensional longitudinal section, and performs simulation studies of the floating behavior of the inclusions in a supergravity field. The effects of the different initial angles of the inclusions on their floating behavior were also compared. The simulation results show that the floating velocity of the inclusions is related to their shape and floating angle, and the faster the floating velocity, the closer the aspect ratio is to 1, or the floating angle is too vertical. For a given length, inclusions with a larger equivalent diameter float faster. In the supergravity field of G = 1000, the inclusions with a length of 1 μm did not undergo rotation; the inclusions with lengths of 10 and 20 μm rotated from the initial angle (45°, 90°) to the horizontal and then floated steadily. The floating velocity of inclusions is related to the real-time angle of inclusions. The rotational state of the inclusions gradually decreases as the gravity coefficient decreases. When G = 50, the inclusions with a length of 20 μm (initial angle of 90°) fail to rotate completely, which also proves that the inclusions are more likely to rotate when initially inclined instead of vertically. In addition, it was concluded that supergravity does not cause anisotropy in steel properties and that the method of removing inclusions from steel by supergravity does not have a substantial negative effect on steel properties. Finally, this study noted that the prediction of the supergravity treatment time using this model should be based on the floating velocity of the inclusions in the horizontal state, and an approximate time for the floating removal of the inclusions is provided based on this conclusion.

Abstract Background Ischemic heart disease causes a high disease burden globally and numerous challenges in treatment, particularly in developing countries such as China. The National Chest Pain Centers Program (NCPCP) was launched in China as the first nationwide, hospital-based, comprehensive, continuous quality improvement (QI) program to improve early diagnosis and standardized treatment of acute coronary syndromes (ACS) and improve patients’ clinical outcomes. With implementation and scaling up of the NCPCP, we investigated barriers and enablers in the NCPCP implementation process and provided examples and ideas for overcoming such barriers. Methods We conducted a nationally representative survey in six cities in China. A total of 165 key informant interviewees, including directors and coordinators of chest pain centers (CPCs) in 90 hospitals, participated in semi-structured interviews. The interviews were transcribed verbatim, translated into English, and analyzed in NVivo 12.0. We used the Consolidated Framework for Implementation Research (CFIR) to guide the codes and themes. Results Barriers to NCPCP implementation mainly arose from nine CFIR constructs. Barriers included the complexity of the intervention (complexity), low flexibility of requirements (adaptability), a lack of recognition of chest pain in patients with ACS (patient needs and resources), relatively low government support (external policies and incentives), staff mobility in the emergency department and other related departments (structural characteristics), resistance from related departments (networks and communications), overwhelming tasks for CPC coordinators (compatibility), lack of available resources for regular CPC operations (available resources), and fidelity to and sustainability of intervention implementation (executing). Enablers of intervention implementation were inner motivation for change (intervention sources), evidence strength and quality of intervention, relatively low cost (cost), individual knowledge and beliefs regarding the intervention, pressure from other hospitals (peer pressure), incentives and rewards of the intervention, and involvement of hospital leaders (leadership engagement, engaging). Conclusion Simplifying the intervention to adapt routine tasks for medical staff and optimizing operational mechanisms between the prehospital emergency system and in-hospital treatment system with government support, as well as enhancing emergency awareness among patients with chest pain are critically important to NCPCP implementation. Clarifying and addressing these barriers is key to designing a sustainable QI program for acute cardiovascular diseases in China and similar contexts across developing countries worldwide. Trial registration This study was registered in the Chinese Clinical Trial Registry ( ChiCTR 2100043319 ), registered 10 February 2021.

Background: Global spread and impact of the coronavirus disease 2019 (COVID-19) pandemic are determined to a large extent, by resistance to the pandemic and public response of all countries in the world; while a country's resistance and response are in turn determined by its political and socio economic conditions. To inform future disease prevention and control, we analyzed global data to exam the relationship between state vulnerabilities and COVID-19 incidences and deaths. Methods: Vulnerability was measured using the Fragile States Index (FSI). FSI is created by the Fund for Peace to assess levels of fragility for individual countries. Total FSI score and scores for 12 specific indicators were used as the predictor variables. Outcome variables were national cumulative COVID-19 cases and deaths up to September 16, 2020, derived from the World Health Organization. Cumulative incidence rates were computed using 2019 National population derived from the World Bank, and case fatality rates were computed as the ratio of deaths/COVID-19 cases. Countries with incomplete data were excluded, yielding a final sample of 146 countries. Multivariate regression was used to examine the association between the predictor and the outcome measures. Results: There were dramatic cross-country variations in both FSI and COVID-19 epidemiological measurements. FSI total scores were negatively associated with both COVID-19 cumulative incidence rates (β = −0.0135, P < 0.001) and case fatality rates (β = −0.0147, P < 0.05). Of the 12 FSI indicators, three negatively associated with COVID-19 incidences were E1(Economic Decline and Poverty), E3 (Human Flight and Brain Drain), and S2 (Refugees and Internally Displaced Persons); two positively associated were P1 (State Legitimacy) and X1 (External Intervention). With regard to association with case fatality rates, C1 (Security Apparatus) was positive, and P3 (Human Rights and Rule of Law) and X1 was negative. Conclusion: With FSI measures by the Fund of Peace, overall, more fragile countries are less likely to be affected by the COVID-19 pandemic, and even if affected, death rates were lower. However, poor in state legitimacy and lack of external intervention are risk for COVID-19 infection and lack of security apparatus is risky for COVID-19 death. Implications of the study findings are discussed and additional studies are needed to examine the mechanisms underpinning these relationships.

Objective: A resilient health system plays a crucial role in pandemic preparedness and response. Although the World Health Organization (WHO) has required all states parties to strengthen core capacities to respond to public health emergencies under the International Health Regulations (2005), the actions of most countries to combating coronavirus disease 2019 (COVID-19) has showed that they are not well-prepared. This cross-sectional study aimed to examine the health system resilience of selected countries and analyze their strategies and measures in response to the COVID-19 pandemic. Methods: This study selected five countries including the Iran, Japan, Republic of Korea (South Korea), the U.K., and the U.S., based on the severity of the national epidemic, the geographical location, and the development level. Cumulative number of death cases derived from WHO COVID-19 dashboard was used to measure the severity of the impact of the pandemic in each country; WHO State Parties Self-Assessment Annual Reporting (SPAR) Scores and Global Health Security (GHS) Index were applied to measure the national health system resilience; and research articles and press materials were summarized to identify the strategies and measures adopted by countries during response to COVID-19. This study applied the resilient health systems framework to analyze health system resilience in the selected countries from five dimensions, including awareness, diversity, self-regulation, integration and adaptation. Results: The SPAR Scores and GHS Index of the four developed countries, Japan, South Korea, the U.K. and the U.S. were above the global and regional averages; the SPAR Scores of Iran were above the global average while the GHI Index lain below the global average. In terms of response strategies, Japan, the U.K. and the U.S. invested more health resources in the treatment of severe patients, while South Korea and Iran had adopted a strategy of extensive testing and identification of suspected patients. In terms of specific measures, all the five countries adopted measures such as restrictions on entry and international travel, closure of schools and industries, lockdown and quarantine. Nevertheless, the effectiveness of implementing these measures varied across countries, based on the response strategies. Conclusion: Although SPAR Scores and GHS Index have evaluated the national core capacities for preparedness and response, the actions to cope with the COVID-19 pandemic has revealed the fact that most countries still do not build resilient health systems in response to public health emergencies. Health system strengthening and health security efforts should be pursued in tandem, as part of the same mutually reinforcing approach to developing resilient health systems.

(1) Background: Tuberculosis (TB) is an infectious disease that seriously endangers health and restricts economic and social development. Shandong Province has the second largest population in China with a high TB burden. This study aimed to detect the epidemic characteristics and spatio-temporal pattern of reported TB incidence in Shandong Province and provide a scientific basis to develop more effective strategies for TB prevention and control. (2) Methods: The age, gender, and occupational distribution characteristics of the cases were described. The Seasonal-Trend LOESS decomposition method, global spatial autocorrelation statistic, local spatial autocorrelation statistics, and spatial-temporal scanning were used to decompose time series, analyze the spatial aggregation, detect cold and hot spots, and analyze the spatio-temporal aggregation of reported incidence. (3) Results: A total of 135,185 TB cases were reported in Shandong Province during the five years 2016–2020. Men and farmers are the main populations of TB patients. The time-series of reported tuberculosis incidence had a long-term decreasing trend with clear seasonality. There was aggregation in the spatial distribution, and the areas with a high reported incidence of TB were mainly clustered in the northwest and southeast of Shandong. The temporal scan also yielded similar results. (4) Conclusions: Health policy authorities should develop targeted prevention and control measures based on epidemiological characteristics to prevent and control TB more effectively.

(1) Objectives: Inequality in the global distribution of COVID-19 vaccines has brought about great challenges in terms of resolving the pandemic. Although vaccine manufacturers are undoubtedly some of the most influential players, studies on their role in global vaccine distribution have been scarce. This study examined whether the pharmaceutical industry is acting according to the principles of corporate social responsibility (CSR) during the pandemic. (2) Methods: Three categories were used to analyze the CSR of vaccine developers. The first was research and development: effectiveness, funding, and profits were measured. The second was transparency and accountability: the transparency of clinical trials and vaccine contracts was analyzed. The final was vaccine delivery: the status of the provision of vaccines to COVAX and lower-income countries, intellectual property management, manufacturing agreements, and equitable pricing were measured. (3) Results: Vaccine developers have acquired large profits. The vaccine delivery category faces the most challenges. Participation of pharmaceutical companies through COVAX was significantly low, and most vaccine supply agreements were secretive, bilateral deals. It was not clear if companies were maintaining equitable pricing. The evaluation indicated that the companies’ CSR practices have differed during the pandemic. (4) Conclusions: Our study contributes to the methodology of assessing the CSR of vaccine developers. This would help understand the current COVID-19 vaccine distribution inequality and propose that pharmaceutical companies re-examine their roles and social responsibilities.

Inequity in the access to and deployment of the coronavirus disease 2019 (COVID-19) vaccines has brought about great challenges in terms of resolving the pandemic. Aiming to analyze the association between country income level and COVID-19 vaccination coverage and explore the mediating role of vaccination policy, we conducted a cross-sectional ecological study. The dependent variable was COVID-19 vaccination coverage in 138 countries as of May 31, 2021. A single-mediator model based on structural equation modeling was developed to analyze mediation effects in different country income groups. Compared with high-income countries, upper-middle- (β = −1.44, 95% CI: −1.86–−1.02, p < 0.001), lower-middle- (β = −2.24, 95% CI: −2.67–−1.82, p < 0.001), and low- (β = −4.05, 95% CI: −4.59–−3.51, p < 0.001) income countries had lower vaccination coverage. Vaccination policies mediated 14.6% and 15.6% of the effect in upper-middle- (β = −0.21, 95% CI: −0.39–−0.03, p = 0.020) and lower-middle- (β = −0.35, 95% CI: −0.56–−0.13, p = 0.002) income countries, respectively, whereas the mediation effect was not significant in low-income countries (β = −0.21, 95% CI: −0.43–0.01, p = 0.062). The results were similar after adjusting for demographic structure and underlying health conditions. Income disparity remains an important cause of vaccine inequity, and the tendency toward “vaccine nationalism” restricts the functioning of the global vaccine allocation framework. Stronger mechanisms are needed to foster countries’ political will to promote vaccine equity.

Background: This study investigated socioeconomic inequalities in premature cancer mortality by cancer types, and evaluated the associations between socioeconomic status (SES) and premature cancer mortality by cancer types. Methods: Using multiple databases, cancer mortality was linked to SES and other county characteristics. The outcome measure was cancer mortality among adults ages 25-64 years in 3,028 U.S. counties, from 1999 to 2018. Socioeconomic inequalities in mortality were calculated as a concentration index (CI) by income (annual median household income), educational attainment (% with bachelor's degree or higher), and unemployment rate. A hierarchical linear mixed model and dominance analyses were used to investigate SES associated with county-level mortality. The analyses were also conducted by cancer types. Results: CIs of SES factors varied by cancer types. Low-SES counties showed increasing trends in mortality, while high-SES counties showed decreasing trends. Socioeconomic inequalities in mortality among high-SES counties were larger than those among low-SES counties. SES explained 25.73% of the mortality. County-level cancer mortality was associated with income, educational attainment, and unemployment rate, at -0.24 [95% (CI): -0.36 to -0.12], -0.68 (95% CI: -0.87 to -0.50), and 1.50 (95% CI: 0.92-2.07) deaths per 100,000 population with one-unit SES factors increase, respectively, after controlling for health care environment and population health. Conclusions: SES acts as a key driver of premature cancer mortality, and socioeconomic inequalities differ by cancer types. Impact: Focused efforts that target socioeconomic drivers of mortalities and inequalities are warranted for designing cancer-prevention implementation strategies and control programs and policies for socioeconomically underprivileged groups. [ABSTRACT FROM AUTHOR]