High-Sensitivity Detection toward SARS-CoV-2 S1 Glycoprotein by Parallel Reaction Monitoring Mass Spectrometry.

The outbreak of coronavirus disease 2019 (COVID-19) has overwhelmed the global economy and human well-being. On account of the sharp increase in test demand, there is a need for an accurate and alternative diagnosis method for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, with the aim to specifically identify the trace SARS-CoV-2 S1 glycoprotein, we developed a high-sensitivity and high-selectivity diagnostic method based on the targeted parallel reaction monitoring (PRM) assay of eight selected peptides. This study emphasizes the outstanding detection sensitivity of 0.01 pg of the SARS-CoV-2 S1 glycoprotein even in the interference of other structural proteins, which to our knowledge is the current minimum limit of detection for the SARS-CoV-2 S1 glycoprotein. This technology could further identify 0.01 pg of the SARS-CoV-2 S1 glycoprotein in a spike pseudovirus, revealing its practical effectiveness. All our preliminary results throw light on the capability of the mass spectrometry-based targeted PRM assay to identify SARS-CoV-2 as a practicable orthogonal diagnostic tool. Furthermore, this technology could be extended to other pathogens (e.g., MERS-CoV S1 protein or SARS-CoV S1 protein) by quickly adjusting the targeted peptides of MS data acquisition. In summary, this strategy is universal and flexible and could be quickly adjusted to detect and discriminate different mutants and pathogens.

Inactivated SARS-CoV-2 vaccine does not increase the risk of relapse in patients with clinically inactive adult-onset Still's disease.

OBJECTIVE: A succession of cases have reported flares of adult-onset Still's disease (AOSD) after vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), raising concerns. We aimed to investigate the impact of inactivated SARS-CoV-2 vaccines on disease activity in patients with AOSD. METHODS: We prospectively enrolled clinically inactive AOSD patients visiting the outpatient clinics of our department. The patients received SARS-CoV-2 vaccines (BBIBPCorV, Sinopharm, Beijing, China) voluntarily. The occurrence of relapse in the participants was recorded during the follow-up period and a propensity score matching (PSM) method was used to compare the relapse rates between vaccinated and unvaccinated patients. Localized and systemic symptoms were assessed in the vaccinated patients. RESULTS: A total of 122 patients with inactive AOSD were included, of which 49.2% (n = 60) voluntarily received the inactivated SARS-CoV-2 vaccine. The relapse rate did not increase significantly in vaccinated patients in comparison with unvaccinated patients (after PSM: 6.8% versus 6.8%), and no relapse occurred within one month after vaccination. No obvious adverse reactions were reported in 75.0% of the participants, and none of the patients reported severe reactions. CONCLUSION: Increased disease activity or relapse following vaccination with inactivated SARS-CoV-2 were rare in patients with inactive AOSD. Local and systemic adverse reactions were found to be mild and self-limiting. These safety profiles of inactivated SARS-CoV-2 vaccines in patients with AOSD may assist in eliminating vaccine hesitancy and increase the vaccination rate against SARS-CoV-2.

A Comparison of Clinical Characteristics of Infections with SARS-CoV-2 Omicron Subvariants BF.7.14 and BA.5.2.48 - China, October-December 2022.

What is already known about this topic?: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve, the clinical manifestations resulting from different SARS-CoV-2 variants may demonstrate significant variation. What is added by this report?: We conducted a comparative analysis of the clinical features associated with SARS-CoV-2 Omicron subvariants BF.7.14 and BA.5.2.48 infections. The results of our study indicate that there are no substantial differences in clinical manifestations, duration of illness, healthcare-seeking behaviors, or treatment between these two subvariants. What are the implications for public health practice?: Timely identification of alterations in the clinical spectrum is crucial for researchers and healthcare practitioners in order to enhance their comprehension of clinical manifestations, as well as the progression of SARS-CoV-2. Furthermore, this information is beneficial for policymakers in the process of revising and implementing appropriate countermeasures.

Facilitators and barriers impacting in-hospital Trauma Quality Improvement Program (TQIP) implementation across country income levels: a scoping review.

OBJECTIVE: Trauma is a leading cause of mortality and morbidity globally, disproportionately affecting low/middle-income countries (LMICs). Understanding the factors determining implementation success for in-hospital Trauma Quality Improvement Programs (TQIPs) is critical to reducing the global trauma burden. We synthesised topical literature to identify key facilitators and barriers to in-hospital TQIP implementation across country income levels. DESIGN: Scoping review. DATA SOURCES: PubMed, Web of Science and Global Index Medicus databases were searched from June 2009 to January 2022. ELIGIBILITY CRITERIA: Published literature involving any study design, written in English and evaluating any implemented in-hospital quality improvement programme in trauma populations worldwide. Literature that was non-English, unpublished and involved non-hospital TQIPs was excluded. DATA EXTRACTION AND SYNTHESIS: Two reviewers completed a three-stage screening process using Covidence, with any discrepancies resolved through a third reviewer. Content analysis using the Consolidated Framework for Implementation Research identified facilitator and barrier themes for in-hospital TQIP implementation. RESULTS: Twenty-eight studies met the eligibility criteria from 3923 studies identified. The most discussed in-hospital TQIPs in included literature were trauma registries. Facilitators and barriers were similar across all country income levels. The main facilitator themes identified were the prioritisation of staff education and training, strengthening stakeholder dialogue and providing standardised best-practice guidelines. The key barrier theme identified in LMICs was poor data quality, while high-income countries (HICs) had reduced communication across professional hierarchies. CONCLUSIONS: Stakeholder prioritisation of in-hospital TQIPs, along with increased knowledge and consensus of trauma care best practices, are essential efforts to reduce the global trauma burden. The primary focus of future studies on in-hospital TQIPs in LMICs should target improving registry data quality, while interventions in HICs should target strengthening communication channels between healthcare professionals.

Measuring farmers' sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China.

In recent years, the sustainable livelihood of farmers has been threatened by various events such as the COVID-19 pandemic, which has significantly impacted efforts to alleviate poverty. Therefore, it is vitally important to increase farmers' sustainable livelihood resilience to enhance the stability and sustainability of poverty alleviation efforts. In this study, to scientifically measure and analyze farmers' sustainable livelihood resilience, we designed an analytical framework that captures the characteristics of farmers' sustainable livelihood resilience from the three dimensions of buffer capacity, self-organization capacity, and learning capacity. We then constructed an index system of farmers' sustainable livelihood resilience and a cloud-model-based multi-level fuzzy comprehensive evaluation model. Finally, the coupling coordination degree and decision tree methods were used to identify the level of development and relationships among the three abovementioned dimensions of farmers' sustainable livelihood resilience. A case study from Fugong County, Yunnan Province, China revealed that the spatial and temporal distributions of farmers' sustainable livelihood resilience were heterogeneous across various regions. Furthermore, the spatial distribution of the coordinated development level of farmers' sustainable livelihood resilience is similar to that of its overall level because the three dimensions of buffer capacity, self-organization capacity, and learning capacity interact with each other and develop synergistically, and the lack of any one of these affects the overall development of farmers' sustainable livelihood resilience. In addition, the sustainable livelihood resilience of farmers in various villages is in a state of stable promotion, benign promotion, stagnation, mild recession, severe recession, or chaotic period, indicating a lack of balance in terms of the state of development. However, sustainable livelihood resilience will gradually improve in response to targeted support policies formulated by the national or local governments.

Research on Resilience Evaluation of Coal Industrial Chain and Supply Chain Based on Interval Type-2F-PT-TOPSIS

As unexpected events such as natural disasters, the COVID-19 pandemic, and overseas containment have caused inevitable shocks to the energy industrial chain and supply chain, the current global energy crisis is intensifying, and different countries and regions have adopted different strategies according to the characteristics of their own national resource endowments in order to cope with energy security. Maintaining the security of the coal industrial chain and supply chain is a prerequisite for energy security to be effectively ensured, considering the main position of coal in China's energy. Therefore, in the face of multiple uncertain risk factors under today's momentous changes, this paper constructs an industrial coal chain and supply chain resilience evaluation indicator system from the perspective of resilience, based on four representational capabilities of resilience, namely preparedness, absorptive capacity, recovery capacity, and adaptability, in order to profoundly understand and enhance the resilience of the coal industrial chain and supply chain. An integrated method combining Interval Type-2 Fuzzy Prospect Theory and Technique for Order Preference by Similarity to an Ideal Solution (Interval Type-2F-PT-TOPSIS) is proposed for evaluating the resilience level of the coal industrial chain and supply chain. In the case of Shaanxi Province in China, it was found that the worst level of resilience of the coal industrial chain and supply chain in Shaanxi Province was in 2018, and the best was in 2021. Finally, based on the evaluation results, recommendations are provided to the key nodes of the industrial chain and supply chain in Shaanxi Province with a view to improving their resilience levels to cope with uncertain risks.

Political Economy of the COVID-19 Pandemic: How State Policies Shape County-Level Disparities in COVID-19 Deaths.

The authors examine how two state-level coronavirus disease 2019 (COVID-19) policy indices (one capturing economic support and one capturing stringency measures such as stay-at-home orders) were associated with county-level COVID-19 mortality from April through December 2020 and whether the policies were more beneficial for certain counties. Using multilevel negative binominal regression models, the authors found that high scores on both policy indices were associated with lower county-level COVID-19 mortality. However, the policies appeared to be most beneficial for counties with fewer physicians and larger shares of older adults, low-educated residents, and Trump voters. They appeared to be less effective in counties with larger shares of non-Hispanic Black and Hispanic residents. These findings underscore the importance of examining how state and local factors jointly shape COVID-19 mortality and indicate that the unequal benefits of pandemic policies may have contributed to county-level disparities in COVID-19 mortality.

Political Economy of the COVID-19 Pandemic: How State Policies Shape County-Level Disparities in COVID-19 Deaths

The authors examine how two state-level coronavirus disease 2019 (COVID-19) policy indices (one capturing economic support and one capturing stringency measures such as stay-at-home orders) were associated with county-level COVID-19 mortality from April through December 2020 and whether the policies were more beneficial for certain counties. Using multilevel negative binominal regression models, the authors found that high scores on both policy indices were associated with lower county-level COVID-19 mortality. However, the policies appeared to be most beneficial for counties with fewer physicians and larger shares of older adults, low-educated residents, and Trump voters. They appeared to be less effective in counties with larger shares of non-Hispanic Black and Hispanic residents. These findings underscore the importance of examining how state and local factors jointly shape COVID-19 mortality and indicate that the unequal benefits of pandemic policies may have contributed to county-level disparities in COVID-19 mortality.

COVID-19 vaccine affects neither prothrombotic antibody profile nor thrombosis in primary antiphospholipid syndrome: a prospective study.

OBJECTIVE: To explore whether inactivated COVID-19 vaccine influences the profile of prothrombotic autoantibodies and induces thrombotic events in primary antiphospholipid syndrome (APS) patients. METHODS: We enrolled 39 primary APS patients who received two doses of inactivated SARS-CoV-2 vaccine (BBIBPCorV, Sinopharm, Beijing, China) voluntarily in this prospective cohort. Prothrombotic autoantibodies were determined before vaccination and four weeks after the 2nd dose of vaccination. Thrombotic disorders were evaluated via hospital site visits and assessments. RESULTS: There was no significant difference in the presence of all eleven autoantibodies detected before and four weeks after vaccination: for aCL, IgG (14 vs. 16, P= 0.64), IgM (13 vs. 19, P= 0.34), IgA (2 vs. 3, P= 0.64); anti-ß2GP1, IgG (12 vs. 12, P= 1.00), IgM (5 vs. 8, P= 0.36), IgA (4 vs. 3, P= 0.69); aPS/PT IgG (13 vs. 16, P= 0.48), IgM (17 vs. 22, P= 0.26); LAC (22 vs. 28, P= 0.16); aPF4-heparin (0 vs. 0, P= 1.00), and antinuclear antibody (ANA) (23 vs. 26, P= 0.48). Notably, the distribution of aPL profile in pre- and post- vaccination cohort was not affected by SARS-CoV-2 vaccination: for patients with low-risk aPL profile (11 vs. 10, P= 0.799) and patients with high-risk aPL profile (28 vs. 29, P= 0.799), respectively. Furthermore, no case exhibited symptoms of the thrombotic disorder during a minimum follow-up period of 12 weeks. There was no adjustment to the ongoing treatment regimens following SARS-CoV-2 vaccination. CONCLUSIONS: Inactivated SARS-CoV-2 vaccine does not influence the profile of antiphospholipid antibodies and anti-PF4-heparin antibodies nor induces thrombotic events in primary APS patients.

Tetrahedral Framework Nucleic Acids: A Novel Strategy for Antibiotic Treating Drug-Resistant Infections.

Antibiotic multiresistance (AMR) has emerged as a major threat to human health as millions of people die from AMR-related problems every year. As has been witnessed during the global COVID-19 pandemic, the significantly increased demand for antibiotics has aggravated the issue of AMR. Therefore, there is an urgent need to find ways to alleviate it. Tetrahedral framework nucleic acids (tFNAs) are novel nanomaterials that are often used as drug delivery platforms because of their structural diversity. This study formed a tFNAs-antibiotic compound (TAC) which has a strong growth inhibitory effect on Escherichia coli and methicillin-resistant Staphylococcus aureus (MRSA) in vitro owing to the increased absorption of antibiotics by bacteria and improved drug movement across cell membranes. We established a mouse model of systemic peritonitis and local wound infections. The TAC exhibited good biosafety and improved the survival rate of severely infected mice, promoting the healing of local infections. In addition to the better transport of antibiotics to the target, the TAC may also enhance immunity by regulating the differentiation of M1 and M2 macrophages, providing a new option for the treatment of infections.

Trimetallic Au@Pd@Pt nanozyme-enhanced lateral flow immunoassay for the detection of SARS-CoV-2 nucleocapsid protein.

The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seriously threatened global public health. Establishing a rapid and sensitive diagnostic test for early detection of the SARS-CoV-2 nucleocapsid protein is urgently required to defend against the pandemic. Herein, an enhanced lateral flow immunoassay (LFIA) was fabricated by trimetallic Au@Pd@Pt core-shell nanozymes for detection of the SARS-CoV-2 nucleocapsid protein. The Au@Pd@Pt nanozymes (Au@Pd@Pt NZs) synthesized via a one-pot method, with a dendrite morphology and uniform particle size, showed excellent peroxidase-like activity. Due to the perfect enzyme-like catalytic activity toward 3,3',5,5'-tetramethylbenzidine (TMB) in the presence of hydrogen peroxide (H2O2), the catalytic signal could be generated even by a tiny amount of Au@Pd@Pt NZs accumulated on the test strip. Therefore, rapid detection with higher sensitivity was achieved. The Au@Pd@Pt NZs-based LFIA provided a quantitative range of 0.05-100 ng mL-1 with a limit of detection of 0.037 ng mL-1, which was 17-fold lower than the LFIA without enhancement. The average recoveries from spiked samples were in the range of 92.5-107.9% with relative standard deviations all less than 4%, indicating the reliability and repeatability of the proposed LFIA. Additionally, the proposed LFIA could report results within 30 min using a microplate reader. In conclusion, the Au@Pd@Pt NZs-LFIA is a rapid, simple, and sensitive method for detecting the SARS-CoV-2 nucleocapsid protein.

Rural-urban and within-rural differences in COVID-19 vaccination rates.

PURPOSE: COVID-19 mortality rates are higher in rural versus urban areas in the United States, threatening to exacerbate the existing rural mortality penalty. To save lives and facilitate economic recovery, we must achieve widespread vaccination coverage. This study compared adult COVID-19 vaccination rates across the US rural-urban continuum and across different types of rural counties. METHODS: We retrieved vaccination rates as of August 11, 2021, for adults aged 18+ for the 2,869 counties for which data were available from the CDC. We merged these with county-level data on demographic and socioeconomic composition, health care infrastructure, 2020 Trump vote share, and USDA labor market type. We then used regression models to examine predictors of COVID-19 vaccination rates across the USDA's 9-category rural-urban continuum codes and separately within rural counties by labor market type. FINDINGS: As of August 11, 45.8% of adults in rural counties had been fully vaccinated, compared to 59.8% in urban counties. In unadjusted regression models, average rates declined monotonically with increasing rurality. Lower rural rates are explained by a combination of lower educational attainment and higher Trump vote share. Within rural counties, rates are lowest in farming and mining-dependent counties and highest in recreation-dependent counties, with differences explained by a combination of educational attainment, health care infrastructure, and Trump vote share. CONCLUSION: Lower vaccination rates in rural areas is concerning given higher rural COVID-19 mortality rates and recent surges in cases. At this point, mandates may be the most effective strategy for increasing vaccination rates.

Rural-urban and within-rural differences in COVID-19 mortality rates. (Special Issue: Space, place, and COVID-19.)

Since late-2020, COVID-19 mortality rates have been higher in rural than in urban America, but there has also been substantial within-rural heterogeneity. Using CDC data, we compare COVID-19 mortality rates across the rural-urban continuum as well as within rural counties across different types of labor markets and by metropolitan adjacency. As of October 1, 2021, the cumulative COVID-19 mortality rate was 247.0 per 100,000 population in rural counties compared to 200.7 in urban counties. Higher COVID-19 mortality rates in rural counties are explained by lower average educational attainment and lower median household income. Within rural counties, mortality rates have been highest in farming-dependent counties and lowest in recreation-dependent counties. Those differences are similarly explained by differences in educational attainment and median household income. Our findings have implications for ongoing COVID-19 prevention and vaccination efforts as well as for informing preparation efforts for future infectious disease outbreaks.

Clinical outcomes of ICU patients with COVID-19-associated pulmonary aspergillosis: a systematic review and meta-analysis

OBJECTIVE: To systematically describe the outcomes of patients with COVID-19-associated pulmonary aspergillosis (CAPA). METHODS: All of the researches covering the clinical outcomes of CAPA were retrieved from databases such as ScienceDirect, PubMed, CNKI and MEDLINE (OVID) from Dec 31, 2019 to Dec 1, 2021. The literatures were screened out based on inclusion and exclusion criteria by 2 writers, the data were extracted, the quality of the literatures was evaluated, and meta-analysis was performed. RESULTS: Totally 14 cohort studies were included in this study, with 2 056 severe COVID-19 patients involved, including 338 CAPA patients and 1 718 non-CAPA patients. The incidence rate of CAPA was 16.4% among the ICU patients. As compared with the non-CAPA patients, the mortality rate of the CAPA patients was increased by 21% [risk difference (RD)]=0.21, 95% CI:0.15-0.27, (I-2=0%). No heterogeneity or publication bias was detected (t=1.98, P=0.069). Among the patients with underlying diseases, the patients with chronic obstructive pulmonary disease (COPD) were 2.37 times the risk of CAPA as high as the patients of the non-CAPA group (95% CI: 1.15-4.88, P=0.020). The creatinine level of the CAPA patients was higher than that of the non-CAPA patients (33.32 micro mol/L, 95% CI: 6.81-59.83, P=0.014). As compared with the non-CAPA patients, the patients who received renal replacement therapy were 2.33 times the risk of CAPA (95% CI: 1.43-3.80, P=0.001). CONCLUSION: 16.4% of the severe COVID-19 patients have CAPA, the mortality rate is high. COPD, serum creatinine and renal replacement therapy may remarkably increase the risk of CAPA, and it is suggested that a prospective screening of CAPA should be carried out for the severe COVID-19 patients.

Rural-Urban Differences in the Associations Between Aging and Disability Services and COVID-19 Vaccination Rates Among Older Adults.

Aging services were poised to play an important role in supporting the COVID-19 vaccination rollout for older adults. In this study, we use ordinary least squares regression models of county-level data (N = 3086) to examine if density of aging and disability services is associated with COVID-19 vaccination rates for older adults in rural and urban areas of the United States. We find that net of compositional characteristics, county-level density of aging and disability services is associated with higher older adult vaccination rates. However, in the rural-urban stratified models, this only remained consistently true for rural counties. Given higher risk of COVID-19 mortality for older adults and larger relative shares of older adults in rural areas, rural counties with low vaccination rates should invest in supporting and/or expanding older adult services to facilitate vaccination.

DDX5: an expectable treater for viral infection- a literature review.

Background and Objective: DEAD-box protein (DDX)5 plays important roles in multiple aspects of cellular processes that require modulating RNA structure. Alongside the canonical role of DDX5 in RNA metabolism, many reports have shown that DDX5 influences viral infection by directly interacting with viral proteins. However, the functional role of DDX5 in virus-associated cancers, as well as the identity of DDX5 in virus infection-associated signaling pathways, has remained largely unexplained. Here, we further explore the precise functions of DDX5 and its potential targets for antiviral treatment. Methods: We searched the PubMed and PMC databases to identify studies on role of DDXs, especially DDX5, during various viral infection published up to May 2022. Key Content and Findings: DDX5 functions as both a viral infection helper and inhibitor, which depends on virus type. DDXs proteins have been identified to play roles on multiple aspects covering RNA metabolism and function. Conclusions: DDX5 influences viral pathogenesis by participating in viral replication and multiple viral infection-related signaling pathways, it also plays a double-edge sword role under different viral infection conditions. Deep investigation into the mechanism of DDX5 modulating immune response in host cells revealed that it holds highly potential usage for future antiviral therapy. We reviewed current studies to provide a comprehensive update of the role of DDX5 in viral infection.

Exploring the Impacts of Urban Community Leisure on Subjective Well-Being during COVID-19: A Mixed Methods Case Study.

Participating in community leisure activities has become an important way for the public to pursue good health and a high quality of life. However, few studies have focused on the health and welfare effects of participating in urban leisure activities during the COVID-19 pandemic. In response to this gap in the literature, this study drew on the stimulus-organism-response (SOR) theory to examine the effects of community leisure on subjective well-being during the pandemic from the perspective of urban residents. A sample of 1041 urban residents in Beijing, China, was empirically analyzed by applying partial least squares structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). The PLS-SEM results revealed the net effects of the pandemic influence, leisure satisfaction, leisure environment, and community identity on subjective well-being. The fsQCA provided causal methods for realizing subjective well-being and a necessary condition analysis supplemented the necessary antecedents. The results showed that (1) higher levels of pandemic influence and leisure environment increased leisure satisfaction; (2) pandemic influence, leisure environment, and leisure satisfaction had a positive effect on community identity; (3) pandemic influence, leisure satisfaction, and community identity also combined with leisure environment and leisure time to positively influence subjective well-being; and (4) leisure satisfaction and community identity mediated the impacts of pandemic influence and leisure environment on subjective well-being. This paper contributes not only to empirical evidence but also to theory by constructing and enriching the research models of community leisure and subjective well-being. The practical implications for the public, community managers, and policymakers are also discussed.

The Synergy Green Innovation Effect of Green Innovation Subsidies and Carbon Taxes

The economic uncertainty caused by COVID-19 has led governments around the world to attach more importance to green innovation to accomplish their carbon reduction schemes. To improve the green innovation encouraging effect of an environmental policy system, this study introduces a unit progressive carbon tax on the basis of a green innovation subsidy to discuss the synergy green innovation effect between them. We set up a dynamic evolutionary game model to analyze the respective influences of green innovation subsidies and an environmental policy system containing a unit progressive carbon tax on Low Carbon Technology (LCT) heterogeneous enterprises' endogenous green innovation strategies. The Evolutionary Stable Strategy analysis of dynamic game models demonstrate that there does exist a synergy green innovation effect between green innovation subsidies and unit carbon taxes. The numerical simulation shows that the synergy green innovation effect of green innovation subsidies and carbon taxes contains both an overlapping policy effect and a more significant green innovation stimulating effect on enterprises with high LCT. Additionally, the introduction of a carbon tax will increase enterprises' affordability on the green innovation cost coefficient. Furthermore, introducing a unit progressive carbon tax would also create additional stimulation for enterprises to pursue a larger carbon reduction amount for the carbon emission cost-saving advantage. Based on the synergy green innovation effect mentioned above, we also investigate the policy implications of varying the tax rate and subsidy proportion in different situations.

Rapid visual detection of porcine reproductive and respiratory syndrome virus via recombinase polymerase amplification combined with a lateral flow dipstick.

Porcine reproductive and respiratory syndrome (PRRS) is one of the most economically devastating infectious diseases in the global swine industry. A rapid and sensitive on-site detection method for PRRS virus (PRRSV) is critically important for diagnosing PRRS. In this study, we established a method that combines reverse transcription recombinase polymerase amplification (RT-RPA) with a lateral flow dipstick (LFD) for detecting North American PRRSV (PRRSV-2). The primers and probe were designed based on the conserved region of all complete PRRSV-2 genomic sequences available in China (n = 512) from 1996 to 2020. The detection limit of the assay was 5.6 × 10-1 median tissue culture infection dose (TCID50) per reaction within 30 min at 42 °C, which was more sensitive than that of reverse transcription polymerase chain reaction (RT-PCR) (5.6 TCID50 per reaction). The assay was highly specific for the epidemic lineages of PRRSV-2 in China and did not cross-react with pseudorabies virus, porcine circovirus 2, classical swine fever virus, or porcine epidemic diarrhea virus. The assay performance was evaluated by testing 179 samples and comparing the results with those of quantitative RT-PCR (RT-qPCR). The results showed that the detection coincidence rate of RT-RPA and RT-qPCR was 100% when the cycle threshold values of RT-qPCR were < 32. The assay provides a new alternative for simple and reliable detection of PRRSV-2 and has great potential for application in the field.