Skills Training of Infectious Diseases in the Community：a Survey Research of Questions

Background As the most basic unit of infectious disease prevention and control，community health service institutions are the frontline and important gateway for the prevention and control of infectious disease. Primary care physicians are responsible for epidemic surveillance，vaccination，health promotion and assistance to centers for disease control in investigating and disposing outbreaks and public health emergencies in their districts，and play an active role in disease prevention and control by groups，susceptible population protection，infectious source control and health education，as well as the effective prevention and control of infectious diseases. Objective To understand the ability of primary care physicians to diagnose and treat infectious diseases in the community，analyse their existing problems and shortcomings，design and conduct a series of intensive training related to infectious diseases for improving the capacity of infectious disease prevention and control at the primary level；To evaluate the effectiveness of online continuing medical education，so as to provide a reference for better continuing medical education on infectious diseases in the community. Methods All participants of the National Community Infectious Diseases Continuing Education Conference held by the Department of Family Medicine of the University of Hong Kong-Shenzhen Hospital in November 2021 were selected as research subjects from November 2021 to March 2022. The questionnaires were distributed to all registered attendees before and after the conference through the QR code of the questionnaire star，and the content of pre-conference questionnaire included demographic characteristics of the participants，participation in infectious disease training in the community since started working，diagnosis and treatment of infectious diseases in the community，subjective attitudes towards the prevention and control of infectious diseases in the community（willingness to manage infectious diseases in the community，satisfaction with their own infectious disease management skills），expertise in infectious disease prevention and control and knowledge related to conference content，attitude towards hepatitis B. The content of the post-conference questionnaire mainly included knowledge about the content of conference，attitude towards hepatitis B and satisfaction survey of this online conference. A total of 301 primary care physicians completed the questionnaire before and after the conference，and a total of 194 completed the questionnaire before and after the conference. Results Among all participants，166 （55.1%） had attended infectious disease training in the community，of whom 49（29.5%） were satisfied with their infectious disease diagnosis and treatment ability；135（44.8%） had not attended the training，of whom 22（16.3%） were satisfied with their infectious disease diagnosis and treatment ability. 143（86.1 %） of 166 participants who had attended infectious disease training in the community indicated their willingness to manage community infectious diseases，99（73.3%） of 135 participants who had not attended infectious disease training in the community indicated their willingness to manage community infectious diseases. 66（27.3%） of participants who were satisfied with their infectious disease diagnosis and treatment ability indicated their willingness to manage community infectious diseases. The top three infectious disease tests conducted by the institutions were hepatitis B，AIDS，and hepatitis C；the top three infectious diseases treated in the past six months were hepatitis B，influenza，hand，foot and mouth disease. Different self-evaluation and willingness to train may affect the willingness to manage community infectious diseases（P<0.05）. Among the participants who completed the questionnaire both before and after the conference，the highest correct answer rate for compulsory management of statutory infectious diseases before the conference was 89.7%，the owest accuracy rate for the type of disinfection of the COVID-19 infection was only 17.0%，the correct rates of other questions ranged from 34.0% to 40.7%. The correct rates of the questions after the conference were higher than those before the conference，and the correct rates ranged from 48.9% to 52.6%. The score of attitude towards hepatitis B after the conference was higher than that before the conference （P<0.05）. In terms of feedback after conference，254（98.1%） expressed satisfaction in the total of 259 questionnaires. In terms of suggestions for online conference，179（69.1%） and 174（67.2%） participants believed that online fluency and online interaction need to be improved. Conclusion The primary care physicians receive relatively less infectious diseases training in the community，inadequate infectious diseases training in the community can improve the confidence of self-competence，attitude of active management of infectious diseases and diagnosis and treatment ability in the primary care physicians. The future direction of continuing medical education should focus on the training of emerging infectious diseases and novel medical concepts，relevant experts should be invited to comment on the necessity and effectiveness of training in the community. © 2023 Chinese General Practice. All rights reserved.

Study on Infection Probabilities of COVID-19 by SIR Network

Severe Acute Respiratory Syndrome Coronavirus 2 Related Diseases (COVID-19) is now one of the most challenging and concerning epidemics, which has been affecting the world so much. After that, countries around the world have been actively developing vaccines to deal with the sudden disease. How to carry out more efficient epidemic prevention has also become a problem of our concern. Unlike traditional SIR disease transmission models, network percolation has unique advantages in disease immune modelling, which makes it closer to reality in the simulation. This article introduces the study of SIR percolation network on infection probabilities of COVID-19, and proposes a method to preventing the spread of disease. © 2022 IEEE.

The role of dorsolateral prefrontal cortex on placebo effect of regulating social pain: A TMS study

Under the influence of the novel coronavirus epidemic, some negative social events, such as separation of family or friends and home isolation have increased. These events can cause negative emotion experiences similar to physical pain, thus they are called social pain. Placebo effect refers to the positive response to the inert treatment with no specific therapeutic properties, which has been shown to be one of the effective ways to alleviate social pain. Studies have shown that the dorsolateral prefrontal cortex (DLPFC) plays a key role in placebo effect. Therefore, this study aimed to explore whether activating DLPFC by using transcranial magnetic stimulation (TMS) could improve the ability of placebo effects to regulate social pain. Besides, we also combined neuroimaging and neuromodulation techniques to provide bidirectional evidence for the role of the DLPFC on placebo effects. We recruited a total of 100 participants to finish the task of negative emotional rating of the social exclusion images. Among them, 50 participants were stimulated by TMS at the right DLPFC (rDLPFC), while the others were assigned to the sham group. This study contained two independent variables. The between-subject variable was TMS group (rDLPFC-activated group or sham group) and the within-subject variable was placebo type (no-placebo and placebo). All participants received nasal spray in two blocks. In the no-placebo condition, participants were instructed that they would receive a saline nasal spray which helped to improve physiological readings;in placebo block, participants were told to administrate an intranasal fluoxetine spray (saline nasal spray in fact) that could reduce unpleasantness within 10 minutes. To strengthen the expectation of intranasal fluoxetine, participants viewed a professional introduction to fluoxetine's clinical and academic usage including downregulating negative emotion, such as fear, anxiety, and disgust. Participants who received the placebo block first would be reminded that fluoxetine's effect was over before the next block to reduce the carry-over for the following block. Self-reported negative emotional and electroencephalogram data were recorded. There was a significant two-way interaction of TMS group and placebo type. Results showed that compared with the sham group, participants in the rDLPFC-activated group reported less negative emotional feeling and had a lower amplitude of the late positive potential (LPP) in placebo condition, a component that reflects the emotional intensity, suggesting that activating rDLPFC can improve the ability of placebo effect to regulate social pain. The above finding suggested that activating DLPFC can improve the placebo effect of regulating negative emotion. Moreover, this study is the first attempt to investigate the enhancement of placebo effects by using TMS on emotion regulation. The findings not only support the critical role of DLPFC on placebo effect using neuroimaging and neuromodulation techniques, but also provide a potential brain target for treating emotional regulation deficits in patients with psychiatric disorders. © 2023 WANG Mei.

COVID-19 associated severe mucocutaneous blistering eruptions: A case series

Introduction: Mucocutaneous eruptions are associated with many viral processes and present as erythema multiforme (EM), reactive infectious mucocutaneous eruption (RIME), Stevens Johnson syndrome (SJS) or toxic epidermal necrosis (TEN). Limited reports have described the association of COVID-19 and mucocutaneous eruptions in children and adults to date. Method(s): This was a multicenter descriptive case series performed at six tertiary medical centers. Inclusion required a clinical diagnosis of EM, RIME, SJS or TEN and a positive COVID-19 test (rapid antigen or PCR) less than 4 weeks prior to onset of dermatologic manifestation. Data was collected at time of each patient encounter. Result(s): A total of 7 patients met criteria and had a median age of 15 years for pediatric patients (<18 years of age) and 36 years for adult patients (>18 years of age). Patients were found to have a diagnosis of RIME in 85.7% of cases. Oral mucosal involvement was the most common clinical finding (100%), followed by ocular (57.1%), urogenital (57.1%) and skin (42.9%) involvement. 71.4% of cases required hospitalization for their cutaneous eruption. No patients died from their inflammatory condition. Discussion(s): This case series highlights the development of mucocutaneous eruptions in association with COVID-19 infection. Within our cohort, RIME was the most commonly identified COVID-associated eruption. These findings provide additional evidence that abnormalities in host immune response to viral pathogens play a role in severe mucocutaneous blistering conditions. Further investigation will aid our understanding of this disease to improve diagnostics and advance targeted treatments for patients in the future.

Under Pandemic: Assessment of Ventilation in Secondary Schools in The Netherlands

To investigate the sufficiency of ventilation during the COVID-19 pandemic for school children, a field study was conducted in 37 classrooms of 11 Dutch secondary schools between October 2020 and June 2021. All the classrooms were visited twice, before and after a three-month national lockdown, when different measures against COVID-19 were taken by the schools. For each visit, both CO2 concentrations and air temperature were measured during school hours, and detailed information on building/classroom characteristics, occupancy, and COVID-19 measures was collected. Results show that before the lockdown, CO2 concentrations in most classrooms exceeded the threshold levels of the Dutch Fresh Schools guidelines. The significantly lower CO2 concentrations measured after the lockdown, however, were mainly due to the decreased occupancy. Moreover, with windows and doors always being opened on purpose, the performance of different ventilation regimes could not be compared, while such behaviour may also lead to thermal discomfort for school children. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.

INTERNATIONAL RESPONSES TO GENDERED-BASED DOMESTIC VIOLENCE: Gender-Specific and Socio-Cultural Approaches

This edited volume represents a joint effort by international experts to analyze the prevalence and nature of gender-based domestic violence across the globe and how it is dealt with at both national and international levels. With studies being conducted in 20 different countries and 4 distinct regions, the contributors to this volume shed light on the ways in which contextual particularities shape the practices and strategies of addressing the socio-cultural and legal problem of gender-based domestic violence in the countries or regions where they do research. Special attention is devoted to developing countries where there is a lack of a consistent legal definition of gender-based domestic violence and where violence against women is widely considered a private matter. The authors of the chapters share a common goal of raising public awareness of the significance in nuanced local experiences of women and other individuals from gender and sexual minority groups facing gender-based violence. Furthermore, the authors attend, analytically, to the newly emerging, overlapping influences of COVID-19 and global warming. Their research findings acknowledge and provide a detailed account of how the two ecological and socio-economic crises can combine to produce economic devastation, disconnect victims from necessary social services and assistance, and create a large degree of panic and uncertainty. In addition, they intend to offer insights into next steps to not only adjust existing public policies, legislation, and social services to the ever-changing national and global contexts, but also to make new ones. The book is intended for a wide range of scholars (both professors and students) and practitioners in a large number of areas, including but not limited to criminal justice, criminology, law, human rights, social justice, social work, nursing, sociology, and political or public affairs. © 2023 selection and editorial matter, Dongling Zhang and Diana Scharff Peterson;individual chapters, the contributors.

Occupational stress and its influencing factors of primary health care workers during COVID-19.

[Background] Since the outbreak of COVID-19, primary health care workers have been facing un-precedented work pressure, and their occupational stress should be taken seriously. [Objective] To analyze the occupational stress situation and its influencing factors of primary health care workers in Guangdong Province, and to propose targeted interventions. [Methods] Using a multi-stage stratified random sampling method, each prefecture-level city in Guangdong Province was classified into "good", "medium", or "poor" category based on its gross domestic product (GDP) in 2019 released by the Guangdong Provincial Bureau of Statistics. In September 2021, four primary health care institutions were randomly selected from each stra-tum, and a total of 1 327 staff members were selected for the study. The Core Occupational Stress Scale (COSS) and a basic information questionnaire designed by the authors were used. Mann-Whitney U test was used to compare the means between two groups, and Kruskal-Walis H test was used to compare the means among multiple groups. The comparison of categorical data was performed by trend chi2 test or Pearson chi2 test;the analysis of factors influencing occupational stress was performed by dichotomous multiple logistic regression analysis. [Results] There were 365 health care workers reporting occupational stress in this survey, and the positive rate of occupational stress was 27.5%. The total occupational stress score in M (P25, P75) and the scores of social support, organization and reward, demand and effort, and control were 45.0 (40.0, 50.0), 20.0 (17.0, 21.0), 14.0 (12.0, 17.0), 12.0 (10.0, 15.0), and 5.0 (4.0, 6.0), re-spectively. The results of dichotomous multiple logistic regression analysis showed that high education, low income, doctor positions, long working hours in a day, and shift work were associated with the occurrence of reporting occupational stress (P < 0.05). [Conclusion] Education, average monthly income, job category, daily working hours, and shifts are factors influencing the occurrence of reporting occupational stress in primary health care workers;targeted interventions should be implemented to reduce their occupational stress levels.Copyright © 2023, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Value of Biofire Filmarray pneumonia panel in evaluating secondary infection in critically ill patients with Coronavirus disease 2019.

Objective To explore the application value of Biofire Filmarry pneumonia panel (PN) in detection of secondary and concomitant pathogen among critically ill patients with coronavirus disease 2019(COVID-19). Methods We consecutively included and analyzed the clinical data of critically ill patients with COVID-19 transferred to the ICU from February to April 2020 in the Sino-French Campus of Wuhan Tongji Hospital. Samples of Bronchoalveolar lavage fluid obtained by bedside bronchoscopy were sent for Biofire Filmarray PN and standard culture concomitantly. We compared the results of two methods and evaluated their concordance. Results In total, 21 critically ill patients with COVID-19 were included and 54 samples were tested, including 33 (61.1%) Biofire Filmarray PN tests (21 patients) and 21 (38.9%) standard cultures (14 patients), in which 19 pairs (38 samples) underwent both tests simultaneously. In Biofire Filmarray PN group, the turnaround time was about 1 hour. There were 74 positive results in 32 samples (97.0%) from 20 patients, including 29 cases(39.2%) of Acinetobacter baumannii complex, 21 cases (28.4%) of Pseudomonas aeruginosa, 16 cases (21.6%)of Klebsiella pneumoniae, 5 cases (6.8%) of Escherichia coli, 1 case (1.4%)each of Enterobacter cloacae, Haemophilus influenzae, and respiratory syncytial virus. In the standard culture group, the turnaround time was about 3 days. 19 positive results returned in 16 (76.2%) samples from 11 patients, including 8 cases (42.1%) of Pseudomonas aeruginosa, 6 cases (31.6%) of Acinetobacter baumannii, 4 cases (21.1%) of Stenotrophomonas malt and 1 case (5.3%) of Myxobacterium. Among the 19 pairs of "back-to-back" specimens, 15 pairs were concordant, and the agreement ratio was 78.9%. Conclusions Acinetobacter baumannii and Pseudomonas aeruginosa may be the common pathogens of secondary or concomitant infection in critically ill patients with COVID-19. Biofire Filmarray PN is a rapid diagnostic test and has application value in such patients;its sensitivity and accuracy require further investigation with larger sample sizes.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.

An Intelligent Classification Diagnosis Based on Blood Oxygen Saturation Signals for Medical Data Security Including COVID-19 in Industry 5.0

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is gradually valued due to its high prevalence, high risk, and high mortality. Alternative to the polysomnography (PSG) diagnosis, the proposed method assesses the subject's degree of illness considering the supply chain and Industry 5.0 requirement efficiently and accurately. This article uses the blood oxygen saturation (SpO(2)) signal count of the number of apnea or hypoventilation events during the sleep of the subject, calculating the apnea-hypopnea index (AHI) and the subject's disease level. SpO(2) signals are used to extract 35-D features based on the time domain, including approximate entropy, central tendency measure, and Lempel-Ziv complexity to accelerate the diagnosis process in supply chains. The feature selection process is reduced from 35 to 7 dimensions that benefits to the implementation in the practical supply chains in Industry 5.0 by extracting the extracted features. This article applies Pearson correlation coefficient selection, based on minimum redundancy-maximum correlation algorithm selection, and a wrapper based on the backward search algorithm. The accuracy rate is 86.92%, and the specificity is 90.7% under the selected random forest classifier. A random forest classifier was used to calculate the AHI index, and a linear regression analysis was performed with the AHI index obtained from the PSG. The result reaches a 92% accuracy rate in assessing the prevalence of OSAHS, satisfying the industrial deployment.

Ensemble Learning for Interpretable Concept Drift and Its Application to Drug Recommendation

During the COVID-19 epidemic, the online prescription pattern of Internet healthcare pro-vides guarantee for the patients with chronic diseases and reduces the risk of cross-infection, but it also raises the burden of decision-making for doctors. Online drug recommendation system can effectively assist doctors by analysing the electronic medical records (EMR) of patients. Unlike commercial recommendations, the accuracy of drug recommendations should be very high due to their relevance to patient health. Besides, concept drift may occur in the drug treatment data streams, handling drift and location drift causes is critical to the accuracy and reliability of the rec-ommended results. This paper proposes a multi-model fusion online drug recommendation system based on the association of drug and pathological features with online-nearline-offline architecture.The system transforms drug recommendation into pattern classification and adopts interpretable concept drift detection and adaptive ensemble classification algorithms. We apply the system to the Percutaneous Coronary Intervention (PCI) treatment process. The experiment results show our system performs nearly as good as doctors, the accuracy is close to 100%.

One-step and wash-free multiplexed immunoassay platform based on bioinspired photonic barcodes

Multiplex, rapid and accurate virus quantification plays a great value in biomedical detection. Here, a novel one step, wash-free immunoassay platform based bioinspired PhC barcodes for multiplexed virus quantification was explored. PhC barcodes were decorated with PDA by self-polymerization of DA, thus this nanocomposite hybridized PhC barcodes facilitated the adsorption of FITC labelled antibodies and quenched itself photoluminescent, allowing a fast responsive composite platform. In the presence of target analyte, the FITC-labelled detection antibody was released from the surface of PDA decorated microcarrier to specifically bind to the target analyte, thus recovered the photoluminescence. In addition, the PhC microcarrier was enabled to carry out various color barcode for different targets detection though tuning internal periodic structures. Based on these excellent performances of the nanocomposite barcode, this method can not only capture H1N1, H5N1, SARS-CoV-2 simultaneously with rapid, accuracy but also accomplish multiplex quantification detection with high-sensitivity. Furthermore, our developed platform was also achieved with high-sensitivity and high-specificity through the verification of clinical samples, thus laying out a new avenue for multiplex virus detection in clinical diagnosis. © 2023

From Small to Big: Smartwatch Use in Mitigating COVID-19 - Understanding User Experience from Social Media Content Analysis

Smartwatches offer both functions and convenience that can have great potentials for technological interventions. Despite widespread discussion of technological interventions for COVID-19, smartwatch use has received little attention in the literature. This research aims to fill the literature gap by providing a broad understanding of smartwatch use for COVID-19 mitigation. We investigate smartwatch use through content analysis of the data collected from two social media platforms. The method allows us to draw on user experience beyond technological features and functions. In addition to functions, we also identified the concerns of using smartwatches for mitigating COVID-19. Furthermore, we uncovered both similarities and differences between the different social media platforms in terms of functions and concerns of smartwatch use. Our findings have implications for various stakeholders of the smartwatch technology and for mitigating the impact of the pandemic. © 2022 IEEE Computer Society. All rights reserved.

Unwarranted Exclusion of Intermediate Lineage A-B SARS-CoV-2 Genomes Is Inconsistent with the Two-Spillover Hypothesis of the Origin of COVID-19

Pekar et al. (2022) propose that SARS-CoV-2 was a zoonotic spillover that first infected humans in the Huanan Seafood Market in Wuhan, China. They propose that there were two separate spillovers of the closely related lineages A and lineage B in a short period of time. The two lineages are differentiated by two SNVs;hence, a single-SNV A-B intermediate must have occurred in an unsampled animal host if the two-spillover hypothesis is correct. Consequently, confirmation of the existence of an intermediate A-B genome from humans would falsify their hypothesis of two spillovers. Pekar et al. identified and excluded 20 A-B intermediate genomes from their analysis. A variety of exclusion criteria were applied, including low read depth and the assertion of repeated erroneous base calls at lineage-defining positions 8782 and 28144. However, data from GISAID show that most of the genomes were sequenced to high average sequencing depth, appearing inconsistent with these criteria. The decision to exclude the majority of genomes was based on personal communications, with raw data unavailable for inspection. Multiple errors, biases, and inconsistencies were observed in the exclusion process. For example, 12 intermediate genomes from one study were excluded;however, 54 other genomes from the same study were included, indicating selection bias. Puzzlingly, two intermediate genomes from Beijing were discarded despite an average sequencing depth of 2175X;however, four genomes from the same sequencing study were included in the analysis. Lastly, we discuss 14 additional possible intermediate genomes not discussed by Pekar et al. and note that genome sequence filtration is inappropriate when considering the presence or absence of a specific SNV pair in an outbreak. Consequently, we find that the exclusion of many of the intermediate genomes is unfounded, leaving the conclusion of two natural zoonoses unsupported.Copyright © 2023 by the authors.

Extended reality for patient recovery and wellness

The healthcare sector is undergoing rapid change using information and communication technologies (E-Health). E-Health enables faster access to patient records and effective diagnosis and opens new areas of technology curated treatments. The unprecedented situation of the COVID pandemic faced by the world population has shifted greater focus toward healthcare and remote care systems, which have given rise to technological innovations in healthcare systems, including advancements in immersive extended reality (XR). Virtual reality, augmented reality, and mixed reality are together referred to as XR or immersive XR. Immersive XR also refers to all real-and-virtual collaborative environments and human–machine interactions. The characteristics of XR, such as integrating real and virtual environments and user interaction facilitation by utilizing past data, have promoted the application of immersive XR in many healthcare domains, including psychotherapy, patient recovery, wellness, etc. Poststroke motor recovery and neurorehabilitation are some examples that utilize XR-enabled platforms. Thus, this chapter will focus on mapping current research and development of immersive XR in patient recovery and wellness in the context of trivial and emerging nontrivial applications. This chapter will also involve systematic exploration of the available academic manuscripts, global patent grants, and emerging technical standards to compare the current academic and commercial developments to extend immersive XR in the field of patient recovery and wellness. © 2023 Elsevier Inc. All rights reserved.

Impact of short-term ambient air pollution exposure on the risk of severe COVID-19

Ecological studies suggested a link between air pollution and severe COVID-19 outcomes, while studies accounting for individual-level characteristics are limited. In the present study, we aimed to investigate the impact of short-term ambient air pollution exposure on disease severity among a cohort of 569 laboratory confirmed COVID-19 patients admitted to designated hospitals in Zhejiang province, China, from January 17 to March 3, 2020, and elucidate the possible biological processes involved using transcriptomics. Compared with mild cases, severe cases had higher proportion of medical conditions as well as unfavorable results in most of the laboratory tests, and manifested higher air pollution exposure levels. Higher exposure to air pollutants was associated with increased risk of severe COVID-19 with odds ratio (OR) of 1.89 (95% confidence interval (CI): 1.01, 3.53), 2.35 (95% CI: 1.20, 4.61), 2.87 (95% CI: 1.68, 4.91), and 2.01 (95% CI: 1.10, 3.69) for PM2.5, PM10, NO2 and CO, respectively. OR for NO2 remained significant in two-pollutant models after adjusting for other pollutants. Transcriptional analysis showed 884 differentially expressed genes which mainly were enriched in virus clearance related biological processes between patients with high and low NO2 exposure levels, indicating that compromised immune response might be a potential underlying mechanistic pathway. These findings highlight the impact of short-term air pollution exposure, particularly for NO2, on COVID-19 severity, and emphasize the significance in mitigating the COVID-19 burden of commitments to improve air quality. © 2022

Variations of air pollutant response to COVID-19 lockdown in cities of the Tibetan Plateau

Coronavirus Disease 2019 (COVID-19) accidentally appeared in Tibet on August 7, 2022, and broke the 920 consecutive epidemic-free days. The cities in Tibet completely kept lockdown to restrict the public to homes. It provided a valuable opportunity for understanding how variations of urban air pollutants responded to the COVID-19 lockdown in the special highland cities of the third polar. Compared with the global COVID-19 restrictions in 2020, a slightly negative O3 anomaly and greater PM2.5 and NO2 reductions were found. The study showed PM10 (−65%) < NO2 (−53%) < PM2.5 (−52%) < O3 (−15%) < CO (−11%) < SO2 (10%) in the Tibetan Lockdown 2022. The total gaseous oxidant (Ox = NO2 + O3) decreased 18% in the Tibetan Lockdown 2022, but showed a limited change in the Lockdown 2020. Moreover, the diurnal profiles of NO2 and PM10 disappeared and the diurnal profiles of Ox, PM2.5, and PM2.5/CO became weakened. Via the random forest model-based weather normalization technique, we obtained the decoupled meteorological effects 1.3 ± 0.6 times higher than the net emission reduction due to the Tibetan Lockdown 2022. Meanwhile, we found that the deweathered PM2.5 was mainly from residential combustion emissions due to the weak industrialization in Tibet. Here we roughly estimated that vehicle-related sources can contribute about 28% and 29% to PM2.5 and NO2 in urban cities of Tibet respectively. For eco-vulnerability protection and sustainable development in Tibet, more attention should be paid to reducing the more intensive local pollutant emissions from vehicles and residential combustion of urban cities. © 2023 The Royal Society of Chemistry.

Emergent Research Themes on Sustainability in the Beef Cattle Industry in Brazil: An Integrative Literature Review

Brazil is one of the world's biggest beef producers and its largest exporter. However, beef cattle ranching is a leading cause of deforestation and habitat conversion in the Brazilian Amazon, which challenges sustainable development. We adopted the triple bottom line (TBL) as a guiding theory of sustainability and assumed the necessity of a production system-specific approach. Based on an integrative literature analysis, we aimed to assess sustainability pillars in beef cattle production. The Web of Science, Scopus and Science Direct databases were searched for studies on mitigating the adverse impacts of beef cattle production before the COVID-19 pandemic outbreak. We found 108 references in these databases, 46 of which met the criteria for eligibility assessment, and ten studies were selected for textual cluster analysis and thematic synthesis. The review shows emergent research themes on sustainability in beef cattle production. It also elaborates a conceptual model of the sustainability pillars in the technique, science, and social aspects of the beef cattle sector that may guide the managerial and political strategies for the beef cattle supply chain in Brazil and other emerging markets. This study indicates that sustainable beef cattle development requires new digital technologies and ideas about sustainable supply chain management, which provides human, environmental, and animal welfare. © 2023 by the authors.