BACKGROUND Understanding a patient's clinical status and setting priorities for their care are two aspects of the constantly changing process of clinical decision-making.One analytical technique that can be helpfu...BACKGROUND Understanding a patient's clinical status and setting priorities for their care are two aspects of the constantly changing process of clinical decision-making.One analytical technique that can be helpful in uncertain situations is clinical judgment.Clinicians must deal with contradictory information,lack of time to make decisions,and long-term factors when emergencies occur.AIM To examine the ethical issues healthcare professionals faced during the coronavirus disease 2019(COVID-19)pandemic and the factors affecting clinical decision-making.METHODS This pilot study,which means it was a preliminary investigation to gather information and test the feasibility of a larger investigation was conducted over 6 months and we invited responses from clinicians worldwide who managed patients with COVID-19.The survey focused on topics related to their professional roles and personal relationships.We examined five core areas influencing critical care decision-making:Patients'personal factors,family-related factors,informed consent,communication and media,and hospital administrative policies on clinical decision-making.The collected data were analyzed using the χ^(2) test for categorical variables.RESULTS A total of 102 clinicians from 23 specialties and 17 countries responded to the survey.Age was a significant factor in treatment planning(n=88)and ventilator access(n=78).Sex had no bearing on how decisions were made.Most doctors reported maintaining patient confidentiality regarding privacy and informed consent.Approximately 50%of clinicians reported a moderate influence of clinical work,with many citing it as one of the most important factors affecting their health and relationships.Clinicians from developing countries had a significantly higher score for considering a patient's financial status when creating a treatment plan than their counterparts from developed countries.Regarding personal experiences,some respondents noted that treatment plans and preferences changed from wave to wave,and that there was a rapid turnover of studies and evidence.Hospital and government policies also played a role in critical decision-making.Rather than assessing the appropriateness of treatment,some doctors observed that hospital policies regarding medications were driven by patient demand.CONCLUSION Factors other than medical considerations frequently affect management choices.The disparity in treatment choices,became more apparent during the pandemic.We highlight the difficulties and contradictions between moral standards and the realities physicians encountered during this medical emergency.False information,large patient populations,and limited resources caused problems for clinicians.These factors impacted decision-making,which,in turn,affected patient care and healthcare staff well-being.展开更多
BACKGROUND The coronavirus disease 2019(COVID-19)pandemic had a profound societal impact in the United States which was associated with a decrease in overall life expectancy and an increase in substance abuse and fire...BACKGROUND The coronavirus disease 2019(COVID-19)pandemic had a profound societal impact in the United States which was associated with a decrease in overall life expectancy and an increase in substance abuse and firearm injury.Our under-standing of changes in mortality trends during the pandemic and its effect on organ availability for transplantation is limited.AIM To examine the trends of substance abuse and firearm injury fatalities during COVID-19 and a potential correlation with organ transplantation.METHODS Crude rates of population-based deaths among adults(18-75 years)from firearm injury and substance abuse from the period of 2014-2021 were obtained from centers of disease control wide-ranging online data for epidemiologic research database.Crude rates of causes of donor(18-75 years)deaths from 2014-2021 were obtained from the united network for organ sharing database.RESULTS Average annual percentage change(AAPC)deaths among the United States population were 16.4%from substance abuse and 3.4%from firearm injury.AAPC in cause of death among organ donors was 10.9%from drug intoxication and 2.1%from firearm injury.There was a significant(P<0.001)and progressive increase in mortality from both causes during the pandemic(2020-2021)and significant correlation(P<0.001)between population and donor causes of death.COVID-19 exacerbated trends in substance abuse and firearm mortality with a consequent increase in organ donation from donors who died from these two causes.CONCLUSION Identifying the socioeconomic and regional disparities associated with increase in deaths from substance abuse and firearms can help guide post-pandemic healthcare policies and mitigate their impact on organ transplantation.展开更多
The coronavirus disease(COVID-19)pandemic introduced significant psychosocial stressors for morticians in South Africa,yet their coping mechanisms remain underexplored.This study investigated how South African morticia...The coronavirus disease(COVID-19)pandemic introduced significant psychosocial stressors for morticians in South Africa,yet their coping mechanisms remain underexplored.This study investigated how South African morticians(N=10,Black males)coped with these stressors during the pandemic through semi-structured interviews.Interpretative phenomenological analysis(IPA)informed thematic analysis identifiedfive themes:(i)death overload distress associated with trauma and fear of exposure;(ii)insomnia due to worry,workload,and fear of infection;(iii)stigmatisation from community avoidance and negative perceptions;(iv)social isolation and anxiety related to emotional disconnection,personal protective equipment(PPE)shortages,and workload demands;and(v)adaptive coping mechanisms such as acceptance,resilience,external support,and religious faith,alongside less beneficial maladaptive strategies.Findings highlight the importance of targeted mental health services,psychoeducation,and social inclusion programmes to support morticians managing psychosocial stress during community health crises.展开更多
Background:Prosocial behavior plays a crucial role in improving interpersonal relationships and social well-being,especially in times of crisis.The COVID-19 pandemic caused a severe humanitarian crisis,prompting gover...Background:Prosocial behavior plays a crucial role in improving interpersonal relationships and social well-being,especially in times of crisis.The COVID-19 pandemic caused a severe humanitarian crisis,prompting governments to implement measures such as social confinement.The main objective of the study was to analyze the psychological and sociodemographic variables that may predict prosocial behavior during quarantine.Methods:The sample consisted of 172 participants from Spain,divided into two groups based on whether they reported an increase in prosocial behaviors during quarantine.An online survey was administered to analyze the psychological and sociodemographic variables.Results:Overall,results demonstrate that emotional regulation,morality and age may predict prosocial behavior.Conclusions:Understanding the predictors of prosocial behavior during social crises is crucial for devising effective policies aimed at fostering community resilience and support networks,with particular attention to factors such as the capacity to regulate emotions,morality,and age.展开更多
This study investigated the variations in summer and winter PM_(2.5)concentrations and chemical composition in urban Xi'an before and during the COVID-19 pandemic restrictions.During the pandemic restrictions,summ...This study investigated the variations in summer and winter PM_(2.5)concentrations and chemical composition in urban Xi'an before and during the COVID-19 pandemic restrictions.During the pandemic restrictions,summer daytime PM_(2.5)concentrations remained comparable to pre-pandemic levels,while a reduction was noted at nighttime.Conversely,winter experienced a significant increase in both daytime and nighttime PM_(2.5)concentrations.Chemical composition analysis revealed reductions in secondary inorganic ion concentrations but notable increases in crustal matter concentrations during the pandemic restrictions,particularly evident in winter.The reductions in secondary inorganic ion concentrations were likely due to decreased emissions of corresponding anthropogenic precursors in summer,while linked to reductions in transformation efficiencies in winter.The heightened crustal matter concentrations were likely attributed to increased contributions of long-range air mass transport from dusty regions,especially prevalent in winter.Source apportionment using positive matrix factorization analysis provided quantitative insights into the distinct source profiles contributing to PM_(2.5)before and during the pandemic restrictions,with secondary inorganic-rich sources decreasing and dust-related sources increasing during the pandemic restrictions.Additionally,combustion sources,primarily from coal and biomass burning,showed higher contributions during winter.In conclusion,this study underscores the complex interplay between anthropogenic and natural factors influencing PM_(2.5)levels in Xi'an.Efforts to mitigate PM_(2.5)pollution should prioritize reducing anthropogenic emissions and implementing measures to control dust emissions,particularly when dust-related sources significantly contribute to elevated PM_(2.5)concentrations.These findings provide valuable insights into developing effective strategies for addressing the PM_(2.5)pollution problem in Xi'an.展开更多
Mental health disorders have emerged as a critical global health challenge,profoundly impacting individuals,communities,and societies worldwide.The prevalence of mental health problems has been steadily increasing,wit...Mental health disorders have emerged as a critical global health challenge,profoundly impacting individuals,communities,and societies worldwide.The prevalence of mental health problems has been steadily increasing,with~1 in 8 people,equivalent to 970 million individuals suffering from a mental disorder in 2019(https://vizhub.healthdata.org/gbd-results).Anxiety and depressive disorders are predominant,contributing significantly to the burden of mental health issues,according to the World Health Organization.The COVID-19 pandemic has further exacerbated this situation.It led to a notable upsurge in anxiety and major depressive disorders in 2020.Estimates indicate a 26%rise in anxiety and a 28%increase in depression within that year(https://www.who.int/publications/i/item/WHO-2019-nCoVSci_Brief-Mental_health-2022.1)[1].展开更多
BACKGROUND In the initial stages of the coronavirus disease 2019(COVID-19)pandemic,healthcare workers(HCWs)who were immunologically naive to COVID-19,were exposed to a highly transmissible virus.AIM To compare infecti...BACKGROUND In the initial stages of the coronavirus disease 2019(COVID-19)pandemic,healthcare workers(HCWs)who were immunologically naive to COVID-19,were exposed to a highly transmissible virus.AIM To compare infection risk among HCWs in high-risk(HR)and low-risk(LR)areas.METHODS Data on reverse transcriptase-polymerase chain reaction confirmed clinical infection and samples for nucleocapsid,and spike protein antibodies were collected at five time-points(T1 to T5)from HCWs in the emergency department and intensive care unit(HR group)and pre-clinical and para-clinical areas(LR).For the sero-study,only participants who provided at least one baseline sample and one during the second wave(T4 or T5)were analysed.Since CovishieldTM elicits only spike protein antibodies,subclinical infection was diagnosed if asymptomatic unvaccinated and CovishieldTM vaccinated individuals tested positive for nucleocapsid antibody.RESULTS Overall,by T5,clinical infection rate was similar in the HR(120/366,32.8%)and LR(22/82,26.8%)groups(P=0.17).However,before vaccination(T3),more HCWs in the HR group developed COVID-19 infection(21.9%vs 8.8%,P=0.046).In the sero-study group,clinical infection occurred in 31.5%(45/143)and 23.7%(14/59)in the HR and LR groups respectively(P=0.23).Spike antibody was detected in 140/143(97.9%)and 56/59(94.9%)and nucleocapsid antibody was positive in 95/143(66.4%)and 35/59(59.3%)in the HR and LR groups respectively(P=0.34).Subclinical infection rate(HR 34.9%,LR 35.6%,P=0.37)and hospitalization rate were similar.There was no mortality.CONCLUSION Before vaccination,HCWs in HR areas had a higher risk of infection.Seroprevalence studies suggest that subclinical infection was not uncommon.展开更多
Coronavirus disease 2019 is caused by severe acute respiratory syndrome coronavirus 2 and emerged in Wuhan,China.It affects millions of people all over the world and has caused the deaths of thousands of people.Mortal...Coronavirus disease 2019 is caused by severe acute respiratory syndrome coronavirus 2 and emerged in Wuhan,China.It affects millions of people all over the world and has caused the deaths of thousands of people.Mortality rates were higher in transplant recipients and patients awaiting transplantation due to social and psychological issues.It also affected candidates who would be transplant providers and caused the transplant chain to be broken worldwide.The coronavirus disease 2019 pandemic has significantly affected solid organ transplantation procedures and led to various changes in protocols and practices to ensure patient safety and increase transplant success.These include challenges in screening protocols,prioritization of cases,telemedicine and virtual consultations,modified surgical procedures,immunosuppression management,updated research and guidelines,post-transplantation process and difficulties to control side effects,difficulties in organ procurement,and patient education/support.It requires a multidisciplinary approach,close collaboration between transplant teams,and adherence to strict infection control measures to ensure the safety of both transplant recipients and healthcare providers.In this article,we compiled the most important points in an overview of this process.展开更多
Objective Despite the global decrease in influenza infections during the coronavirus disease 2019(COVID-19)pandemic,seasonal influenza remains a significant health issue.South Korea,known for its robust pandemic respo...Objective Despite the global decrease in influenza infections during the coronavirus disease 2019(COVID-19)pandemic,seasonal influenza remains a significant health issue.South Korea,known for its robust pandemic response and high influenza vaccination rates,offers a unique context for examining changes in vaccination trends during the pandemic.Using nationally representative data,we aimed to understand the impact of the pandemic on influenza vaccination behavior over a 12-year period and to identify vulnerable groups.Methods We analyzed influenza vaccination rates in South Korea between 2011-2022,focusing on pandemic-related impacts.The data of 2,426,139 adults(≥19 years)from the Korea Community Health Survey were used to assess demographic and sociological factors influencing vaccination behaviors.Results We observed an increase in influenza vaccination rates during the pre-COVID-19 period from 2011-2013(weighted prevalence:46.68%[95%confidence interval(CI):46.55-46.82])to 2017-2019(weighted prevalence:52.50%[95%CI:52.38-52.63]).However,a significant decline was observed in 2022,the late-COVID-19 pandemic period(weighted prevalence:55.78%[95%CI:55.56-56.01]),compared with the mid-pandemic period in 2021(weighted prevalence:59.12%[95%CI:58.91-59.32]),particularly among populations traditionally prioritized for influenza vaccination,including older adults(≥65 years)and patients with chronic diseases and low educational and income levels.Conclusion The influenza vaccination rate in South Korea was significantly affected by the COVID-19 pandemic,showing a notable decrease among vulnerable demographic groups.This suggests the need for targeted public health strategies to address vaccine hesitancy and improve vaccination rates,particularly among high-risk populations.展开更多
The diagnosis and treatment processes for long COVID have been relatively slow to develop for several reasons,such as a lack of consensus about its definition among medical professionals and researchers,and restricted...The diagnosis and treatment processes for long COVID have been relatively slow to develop for several reasons,such as a lack of consensus about its definition among medical professionals and researchers,and restricted access to knowledge from the relevant pandemics of the past.Legacies of viral pandemics unfortunately do not include sufficient research on how the acute symptoms of infection evolved into chronic health conditions.More so,the idea of surviving a viral pandemic with long-lasting symptoms is not new,yet it is curiously disjointed as a medical concept throughout documented histories on the subject.Individuals with long-term conditions that are rooted in acute viral infections,such as COVID-19,require a coordinated system of care that includes comprehensive rehabilitation.This commentary will discuss the philosophical underpinnings of the historical scarcity of documented incidences of individuals with chronic virus symptoms and the need for a shift in post-viral infection treatment approaches.展开更多
Forecasting future outbreaks can help in minimizing their spread.Influenza is a disease primarily found in animals but transferred to humans through pigs.In 1918,influenza became a pandemic and spread rapidly all over...Forecasting future outbreaks can help in minimizing their spread.Influenza is a disease primarily found in animals but transferred to humans through pigs.In 1918,influenza became a pandemic and spread rapidly all over the world becoming the cause behind killing one-third of the human population and killing one-fourth of the pig population.Afterwards,that influenza became a pandemic several times on a local and global levels.In 2009,influenza‘A’subtype H1N1 again took many human lives.The disease spread like in a pandemic quickly.This paper proposes a forecasting modeling system for the influenza pandemic using a feed-forward propagation neural network(MSDII-FFNN).This model helps us predict the outbreak,and determines which type of influenza becomes a pandemic,as well as which geographical area is infected.Data collection for the model is done by using IoT devices.This model is divided into 2 phases:The training phase and the validation phase,both being connected through the cloud.In the training phase,the model is trained using FFNN and is updated on the cloud.In the validation phase,whenever the input is submitted through the IoT devices,the system model is updated through the cloud and predicts the pandemic alert.In our dataset,the data is divided into an 85%training ratio and a 15%validation ratio.By applying the proposed model to our dataset,the predicted output precision is 90%.展开更多
Two years into the SARS-CoV-2 pandemic the shining light of hope has been the speed at which vaccines have been developed based on a new platform technology allowing breakthroughs with other novel, neglected and emerg...Two years into the SARS-CoV-2 pandemic the shining light of hope has been the speed at which vaccines have been developed based on a new platform technology allowing breakthroughs with other novel, neglected and emerging infectious diseases. Lurking in the shadows has been the various health care systems related to surveillance, data collection, access to basic health, fear, nationalism, government distrust, vaccine skepticism, global supply chain shortages, health worker shortages and misinformation. In this paper, I have tried to highlight the areas where lessons learned can make a difference for our response to the next pandemic at the local, state, national, regional, and global level.展开更多
The coronavirus disease 2019(COVID-19)pandemic has stretched our healthcare system to the brink,highlighting the importance of efficient resource utilization without compromising healthcare provider safety.While advan...The coronavirus disease 2019(COVID-19)pandemic has stretched our healthcare system to the brink,highlighting the importance of efficient resource utilization without compromising healthcare provider safety.While advanced imaging is a great resource for diagnostic purposes,the risk of contamination and infection transmission is high and requires extensive logistical planning for intrahospital patient transport,healthcare provider safety,and post-imaging decontamination.This dilemma has necessitated the transition to more bedside imaging.More so than ever,during the current pandemic,the clinical utility and importance of point-of-care ultrasound(POCUS)cannot be overstressed.It allows for safe and efficient beside procedural guidance and provides front line providers with valuable diagnostic information that can be acted upon in real-time for immediate clinical decision-making.The authors have been routinely using POCUS for the management of COVID-19 patients both in the emergency department and in intensive care units turned into“COVID-units.”In this article,we review the nuances of using POCUS in a pandemic situation and maximizing diagnostic output from this bedside technology.Additionally,we review various methods and diagnostic uses of POCUS which can replace conventional imaging and bridge current literature and common clinical practices in critically ill patients.We discuss practical guidance and pertinent review of the literature for the most relevant procedural and diagnostic guidance of respiratory illness,hemodynamic decompensation,renal failure,and gastrointestinal disorders experienced by many patients admitted to COVID-units.展开更多
Influenza is one of the oldest infectious diseases affecting humans. Every influenza pandemic in history has ended with disastrous outcomes regarding public health and the social economy. This year marks the 100th ann...Influenza is one of the oldest infectious diseases affecting humans. Every influenza pandemic in history has ended with disastrous outcomes regarding public health and the social economy. This year marks the 100th anniversary of the Spanish flu (H1N1) outbreak of 1918, which is recognized as the most lethal natural event in recent history.展开更多
Given the sudden outbreak of the COVID-19 pandemic,a timely study on the impacts of and policy response to the pandemic on rural poverty in China is critically important because China has aimed to completely eradicate...Given the sudden outbreak of the COVID-19 pandemic,a timely study on the impacts of and policy response to the pandemic on rural poverty in China is critically important because China has aimed to completely eradicate extreme poverty by the end of 2020.This paper uses data from the latest round of a nationally representative household panel survey to examine the impacts of the pandemic on rural poverty in China.Our data show that 11.9%of sample households were ever officially registered as poor households between 2013 and 2019,and this poverty incidence fell to 2.7%by the end of 2019.In the middle February of 2020,23%of the households who have graduated from poverty since 2013 perceived that they would fall back into poverty due to the COVID-19.Among those never poor households,7.1%perceived that they would possibly fall into poverty due to the pandemic.Results from both descriptive and multivariate analyses consistently show the interruptions that the pandemic caused in off-farm employment is an important channel that led households to perceive of falling back into or falling into poverty.We also find households in the bottom four quintiles when ranked in terms of household income per capita are much more likely to perceive themselves of falling back into or falling into poverty during this pandemic than those in the richest quintile.Meanwhile,our results show that the education and age of household heads,as well as being from Hubei Province matter in explaining household perception about falling back into or falling into poverty in some cases but not all.The paper concludes with a set of policy responses that China has taken to mitigate the impact of COVID-19 pandemic on poverty alleviation.展开更多
The COVID-19 outbreak has shocked the world’s economies in the year of 2020.As this pandemic spreads around the globe,many experts feared that the global food supplies might start running short,especially if supply c...The COVID-19 outbreak has shocked the world’s economies in the year of 2020.As this pandemic spreads around the globe,many experts feared that the global food supplies might start running short,especially if supply chains were disrupted.COVID-19 also added to the uncertainty of the business operation.Therefore,it is critical to understand how COVID-19 pandemic affected global food supply and market.In this study,we investigate the impact of COVID-19 on agricultural export companies in China using a unique firm-level survey data.We found that although on average agricultural businesses experienced declines in the exports,exports of some agricultural products especially grain and oil held strong and even increased,implying the essential demand for staple food during the pandemic.Not surprisingly,exports of medicinal herb also increased significantly during the pandemic.However,exports of goods such as edible fungus and horticultural products sharply decreased.Our results also showed that in general,impact of COVID-19 on smaller firms was more severe than that on larger firms.The results of this study can provide useful guidance and implications for agricultural businesses and policy makers on their COVID-19 mitigation efforts to navigate this global pandemic.展开更多
The COVID-19 pandemic has raised awareness about various environmental issues,includ-ing PM_(2.5) pollution.Here,PM_(2.5) pollution during the COVID-19 lockdown was traced and an-alyzed to clarify the sources and fact...The COVID-19 pandemic has raised awareness about various environmental issues,includ-ing PM_(2.5) pollution.Here,PM_(2.5) pollution during the COVID-19 lockdown was traced and an-alyzed to clarify the sources and factors influencing PM_(2.5) in Guangzhou,with an emphasis on heavy pollution.The lockdown led to large reductions in industrial and traffic emissions,which significantly reduced PM_(2.5) concentrations in Guangzhou.Interestingly,the trend of PM_(2.5) concentrations was not consistent with traffic and industrial emissions,as minimum concentrations were observed in the fourth period(3/01-3/31,22.45 μg/m^(3))of the lockdown.However,the concentrations of other gaseous pollutants,e.g.,SO_(2),NO_(2) and CO,were corre-lated with industrial and traffic emissions,and the lowest values were noticed in the sec-ond period(1/24-2/0_(3))of the lockdown.Meteorological correlation analysis revealed that the decreased PM_(2.5) concentrations during COVID-19 can be mainly attributed to decreased in-dustrial and traffic emissions rather than meteorological conditions.When meteorological factors were included in the PM_(2.5) composition and backward trajectory analyses,we found that long-distance transportation and secondary pollution offset the reduction of primary emissions in the second and third stages of the pandemic.Notably,industrial PM_(2.5) emis-sions from western,southern and southeastern Guangzhou play an important role in the formation of heavy pollution events.Our results not only verify the importance of control-ling traffic and industrial emissions,but also provide targets for further improvements in PM_(2.5) pollution.展开更多
Travel restrictions and physical distancing have been implemented across the world to mitigate the coronavirus disease 2019(COVID-19)pandemic,but studies are needed to understand their effectiveness across regions and...Travel restrictions and physical distancing have been implemented across the world to mitigate the coronavirus disease 2019(COVID-19)pandemic,but studies are needed to understand their effectiveness across regions and time.Based on the population mobility metrics derived from mobile phone geolocation data across 135 countries or territories during the first wave of the pandemic in 2020,we built a metapopulation epidemiological model to measure the effect of travel and contact restrictions on containing COVID-19 outbreaks across regions.We found that if these interventions had not been deployed,the cumulative number of cases could have shown a 97-fold(interquartile range 79–116)increase,as of May 31,2020.However,their effectiveness depended upon the timing,duration,and intensity of the interventions,with variations in case severity seen across populations,regions,and seasons.Additionally,before effective vaccines are widely available and herd immunity is achieved,our results emphasize that a certain degree of physical distancing at the relaxation of the intervention stage will likely be needed to avoid rapid resurgences and subsequent lockdowns.展开更多
The COVID-19 pandemic has stalled and rolled back progress on Sustainable Development Goals(SDGs).Ecosys-tem services(ESs),defined as the contributions of ecosystems to human well-being,underpin the achievement of SDG...The COVID-19 pandemic has stalled and rolled back progress on Sustainable Development Goals(SDGs).Ecosys-tem services(ESs),defined as the contributions of ecosystems to human well-being,underpin the achievement of SDGs.To promote SDG achievement in post-pandemic era,we teased out the links between ESs and SDGs while examining the impact of COVID-19.We found that ESs benefited all SDGs,yet man-made pressures led to degra-dation of ecosystems and their services.There is broad consensus that the virus lurks in degraded ecosystems and generates spillover due to human interference.The pandemic and global lockdown/restriction disrupted the flow of ESs and altered human ESs demand,threatening the efforts for the SDGs.We suggested:1)to study the association and traceability of ESs-SDGs under the pandemic;2)to prioritize pressing issues such as health care,livelihood,and resource security and in the long run,we should promote human-nature harmony to achieve the SDGs;and 3)to enhance ESs and to promote the SDGs through local community efforts,ESs accounting,and ecosystem restoration.This paper provides insights into the importance of ESs to the SDGs and the ways to integrate ESs into socio-economic development to promote the SDG achievement after the pandemic.展开更多
Accurate origin–destination(OD)demand prediction is crucial for the efficient operation and management of urban rail transit(URT)systems,particularly during a pandemic.However,this task faces several limitations,incl...Accurate origin–destination(OD)demand prediction is crucial for the efficient operation and management of urban rail transit(URT)systems,particularly during a pandemic.However,this task faces several limitations,including real-time availability,sparsity,and high-dimensionality issues,and the impact of the pandemic.Consequently,this study proposes a unified framework called the physics-guided adaptive graph spatial–temporal attention network(PAG-STAN)for metro OD demand prediction under pandemic conditions.Specifically,PAG-STAN introduces a real-time OD estimation module to estimate real-time complete OD demand matrices.Subsequently,a novel dynamic OD demand matrix compression module is proposed to generate dense real-time OD demand matrices.Thereafter,PAG-STAN leverages various heterogeneous data to learn the evolutionary trend of future OD ridership during the pandemic.Finally,a masked physics-guided loss function(MPG-loss function)incorporates the physical quantity information between the OD demand and inbound flow into the loss function to enhance model interpretability.PAG-STAN demonstrated favorable performance on two real-world metro OD demand datasets under the pandemic and conventional scenarios,highlighting its robustness and sensitivity for metro OD demand prediction.A series of ablation studies were conducted to verify the indispensability of each module in PAG-STAN.展开更多
文摘BACKGROUND Understanding a patient's clinical status and setting priorities for their care are two aspects of the constantly changing process of clinical decision-making.One analytical technique that can be helpful in uncertain situations is clinical judgment.Clinicians must deal with contradictory information,lack of time to make decisions,and long-term factors when emergencies occur.AIM To examine the ethical issues healthcare professionals faced during the coronavirus disease 2019(COVID-19)pandemic and the factors affecting clinical decision-making.METHODS This pilot study,which means it was a preliminary investigation to gather information and test the feasibility of a larger investigation was conducted over 6 months and we invited responses from clinicians worldwide who managed patients with COVID-19.The survey focused on topics related to their professional roles and personal relationships.We examined five core areas influencing critical care decision-making:Patients'personal factors,family-related factors,informed consent,communication and media,and hospital administrative policies on clinical decision-making.The collected data were analyzed using the χ^(2) test for categorical variables.RESULTS A total of 102 clinicians from 23 specialties and 17 countries responded to the survey.Age was a significant factor in treatment planning(n=88)and ventilator access(n=78).Sex had no bearing on how decisions were made.Most doctors reported maintaining patient confidentiality regarding privacy and informed consent.Approximately 50%of clinicians reported a moderate influence of clinical work,with many citing it as one of the most important factors affecting their health and relationships.Clinicians from developing countries had a significantly higher score for considering a patient's financial status when creating a treatment plan than their counterparts from developed countries.Regarding personal experiences,some respondents noted that treatment plans and preferences changed from wave to wave,and that there was a rapid turnover of studies and evidence.Hospital and government policies also played a role in critical decision-making.Rather than assessing the appropriateness of treatment,some doctors observed that hospital policies regarding medications were driven by patient demand.CONCLUSION Factors other than medical considerations frequently affect management choices.The disparity in treatment choices,became more apparent during the pandemic.We highlight the difficulties and contradictions between moral standards and the realities physicians encountered during this medical emergency.False information,large patient populations,and limited resources caused problems for clinicians.These factors impacted decision-making,which,in turn,affected patient care and healthcare staff well-being.
文摘BACKGROUND The coronavirus disease 2019(COVID-19)pandemic had a profound societal impact in the United States which was associated with a decrease in overall life expectancy and an increase in substance abuse and firearm injury.Our under-standing of changes in mortality trends during the pandemic and its effect on organ availability for transplantation is limited.AIM To examine the trends of substance abuse and firearm injury fatalities during COVID-19 and a potential correlation with organ transplantation.METHODS Crude rates of population-based deaths among adults(18-75 years)from firearm injury and substance abuse from the period of 2014-2021 were obtained from centers of disease control wide-ranging online data for epidemiologic research database.Crude rates of causes of donor(18-75 years)deaths from 2014-2021 were obtained from the united network for organ sharing database.RESULTS Average annual percentage change(AAPC)deaths among the United States population were 16.4%from substance abuse and 3.4%from firearm injury.AAPC in cause of death among organ donors was 10.9%from drug intoxication and 2.1%from firearm injury.There was a significant(P<0.001)and progressive increase in mortality from both causes during the pandemic(2020-2021)and significant correlation(P<0.001)between population and donor causes of death.COVID-19 exacerbated trends in substance abuse and firearm mortality with a consequent increase in organ donation from donors who died from these two causes.CONCLUSION Identifying the socioeconomic and regional disparities associated with increase in deaths from substance abuse and firearms can help guide post-pandemic healthcare policies and mitigate their impact on organ transplantation.
文摘The coronavirus disease(COVID-19)pandemic introduced significant psychosocial stressors for morticians in South Africa,yet their coping mechanisms remain underexplored.This study investigated how South African morticians(N=10,Black males)coped with these stressors during the pandemic through semi-structured interviews.Interpretative phenomenological analysis(IPA)informed thematic analysis identifiedfive themes:(i)death overload distress associated with trauma and fear of exposure;(ii)insomnia due to worry,workload,and fear of infection;(iii)stigmatisation from community avoidance and negative perceptions;(iv)social isolation and anxiety related to emotional disconnection,personal protective equipment(PPE)shortages,and workload demands;and(v)adaptive coping mechanisms such as acceptance,resilience,external support,and religious faith,alongside less beneficial maladaptive strategies.Findings highlight the importance of targeted mental health services,psychoeducation,and social inclusion programmes to support morticians managing psychosocial stress during community health crises.
基金supported by the Ministry of Education,Culture and Sport(Predoctoral Contract University Faculty Training Program:FPU15/04335)later by the Spanish Public Administration“Ministerio de Universidades”and the European Union through the“NextGeneration EU”(Postdoctoral contract Margarita Salas).
文摘Background:Prosocial behavior plays a crucial role in improving interpersonal relationships and social well-being,especially in times of crisis.The COVID-19 pandemic caused a severe humanitarian crisis,prompting governments to implement measures such as social confinement.The main objective of the study was to analyze the psychological and sociodemographic variables that may predict prosocial behavior during quarantine.Methods:The sample consisted of 172 participants from Spain,divided into two groups based on whether they reported an increase in prosocial behaviors during quarantine.An online survey was administered to analyze the psychological and sociodemographic variables.Results:Overall,results demonstrate that emotional regulation,morality and age may predict prosocial behavior.Conclusions:Understanding the predictors of prosocial behavior during social crises is crucial for devising effective policies aimed at fostering community resilience and support networks,with particular attention to factors such as the capacity to regulate emotions,morality,and age.
基金supported by the Natural Science Basic Research Program of Shaanxi(No.2023-JC-QN-0141)the Qinchuanyuan introducing high-level innovation and entrepreneurship talent program(No.QCYRCXM-2022-363)the“Young Talent Support Plan”of Xi'an Jiaotong University(No.ND6J027).
文摘This study investigated the variations in summer and winter PM_(2.5)concentrations and chemical composition in urban Xi'an before and during the COVID-19 pandemic restrictions.During the pandemic restrictions,summer daytime PM_(2.5)concentrations remained comparable to pre-pandemic levels,while a reduction was noted at nighttime.Conversely,winter experienced a significant increase in both daytime and nighttime PM_(2.5)concentrations.Chemical composition analysis revealed reductions in secondary inorganic ion concentrations but notable increases in crustal matter concentrations during the pandemic restrictions,particularly evident in winter.The reductions in secondary inorganic ion concentrations were likely due to decreased emissions of corresponding anthropogenic precursors in summer,while linked to reductions in transformation efficiencies in winter.The heightened crustal matter concentrations were likely attributed to increased contributions of long-range air mass transport from dusty regions,especially prevalent in winter.Source apportionment using positive matrix factorization analysis provided quantitative insights into the distinct source profiles contributing to PM_(2.5)before and during the pandemic restrictions,with secondary inorganic-rich sources decreasing and dust-related sources increasing during the pandemic restrictions.Additionally,combustion sources,primarily from coal and biomass burning,showed higher contributions during winter.In conclusion,this study underscores the complex interplay between anthropogenic and natural factors influencing PM_(2.5)levels in Xi'an.Efforts to mitigate PM_(2.5)pollution should prioritize reducing anthropogenic emissions and implementing measures to control dust emissions,particularly when dust-related sources significantly contribute to elevated PM_(2.5)concentrations.These findings provide valuable insights into developing effective strategies for addressing the PM_(2.5)pollution problem in Xi'an.
基金supported by the National Natural Science Foundation of China(T2241028)STI2030-Major Projects[2021ZD0203000(2021ZD0203003)].
文摘Mental health disorders have emerged as a critical global health challenge,profoundly impacting individuals,communities,and societies worldwide.The prevalence of mental health problems has been steadily increasing,with~1 in 8 people,equivalent to 970 million individuals suffering from a mental disorder in 2019(https://vizhub.healthdata.org/gbd-results).Anxiety and depressive disorders are predominant,contributing significantly to the burden of mental health issues,according to the World Health Organization.The COVID-19 pandemic has further exacerbated this situation.It led to a notable upsurge in anxiety and major depressive disorders in 2020.Estimates indicate a 26%rise in anxiety and a 28%increase in depression within that year(https://www.who.int/publications/i/item/WHO-2019-nCoVSci_Brief-Mental_health-2022.1)[1].
基金Supported by Internal Institutional Research Fund.
文摘BACKGROUND In the initial stages of the coronavirus disease 2019(COVID-19)pandemic,healthcare workers(HCWs)who were immunologically naive to COVID-19,were exposed to a highly transmissible virus.AIM To compare infection risk among HCWs in high-risk(HR)and low-risk(LR)areas.METHODS Data on reverse transcriptase-polymerase chain reaction confirmed clinical infection and samples for nucleocapsid,and spike protein antibodies were collected at five time-points(T1 to T5)from HCWs in the emergency department and intensive care unit(HR group)and pre-clinical and para-clinical areas(LR).For the sero-study,only participants who provided at least one baseline sample and one during the second wave(T4 or T5)were analysed.Since CovishieldTM elicits only spike protein antibodies,subclinical infection was diagnosed if asymptomatic unvaccinated and CovishieldTM vaccinated individuals tested positive for nucleocapsid antibody.RESULTS Overall,by T5,clinical infection rate was similar in the HR(120/366,32.8%)and LR(22/82,26.8%)groups(P=0.17).However,before vaccination(T3),more HCWs in the HR group developed COVID-19 infection(21.9%vs 8.8%,P=0.046).In the sero-study group,clinical infection occurred in 31.5%(45/143)and 23.7%(14/59)in the HR and LR groups respectively(P=0.23).Spike antibody was detected in 140/143(97.9%)and 56/59(94.9%)and nucleocapsid antibody was positive in 95/143(66.4%)and 35/59(59.3%)in the HR and LR groups respectively(P=0.34).Subclinical infection rate(HR 34.9%,LR 35.6%,P=0.37)and hospitalization rate were similar.There was no mortality.CONCLUSION Before vaccination,HCWs in HR areas had a higher risk of infection.Seroprevalence studies suggest that subclinical infection was not uncommon.
文摘Coronavirus disease 2019 is caused by severe acute respiratory syndrome coronavirus 2 and emerged in Wuhan,China.It affects millions of people all over the world and has caused the deaths of thousands of people.Mortality rates were higher in transplant recipients and patients awaiting transplantation due to social and psychological issues.It also affected candidates who would be transplant providers and caused the transplant chain to be broken worldwide.The coronavirus disease 2019 pandemic has significantly affected solid organ transplantation procedures and led to various changes in protocols and practices to ensure patient safety and increase transplant success.These include challenges in screening protocols,prioritization of cases,telemedicine and virtual consultations,modified surgical procedures,immunosuppression management,updated research and guidelines,post-transplantation process and difficulties to control side effects,difficulties in organ procurement,and patient education/support.It requires a multidisciplinary approach,close collaboration between transplant teams,and adherence to strict infection control measures to ensure the safety of both transplant recipients and healthcare providers.In this article,we compiled the most important points in an overview of this process.
基金supported by the Basic Science Research Program through the National Research Foundation of Korea,funded by the Ministry of Education(RS-2024-00460379).
文摘Objective Despite the global decrease in influenza infections during the coronavirus disease 2019(COVID-19)pandemic,seasonal influenza remains a significant health issue.South Korea,known for its robust pandemic response and high influenza vaccination rates,offers a unique context for examining changes in vaccination trends during the pandemic.Using nationally representative data,we aimed to understand the impact of the pandemic on influenza vaccination behavior over a 12-year period and to identify vulnerable groups.Methods We analyzed influenza vaccination rates in South Korea between 2011-2022,focusing on pandemic-related impacts.The data of 2,426,139 adults(≥19 years)from the Korea Community Health Survey were used to assess demographic and sociological factors influencing vaccination behaviors.Results We observed an increase in influenza vaccination rates during the pre-COVID-19 period from 2011-2013(weighted prevalence:46.68%[95%confidence interval(CI):46.55-46.82])to 2017-2019(weighted prevalence:52.50%[95%CI:52.38-52.63]).However,a significant decline was observed in 2022,the late-COVID-19 pandemic period(weighted prevalence:55.78%[95%CI:55.56-56.01]),compared with the mid-pandemic period in 2021(weighted prevalence:59.12%[95%CI:58.91-59.32]),particularly among populations traditionally prioritized for influenza vaccination,including older adults(≥65 years)and patients with chronic diseases and low educational and income levels.Conclusion The influenza vaccination rate in South Korea was significantly affected by the COVID-19 pandemic,showing a notable decrease among vulnerable demographic groups.This suggests the need for targeted public health strategies to address vaccine hesitancy and improve vaccination rates,particularly among high-risk populations.
文摘The diagnosis and treatment processes for long COVID have been relatively slow to develop for several reasons,such as a lack of consensus about its definition among medical professionals and researchers,and restricted access to knowledge from the relevant pandemics of the past.Legacies of viral pandemics unfortunately do not include sufficient research on how the acute symptoms of infection evolved into chronic health conditions.More so,the idea of surviving a viral pandemic with long-lasting symptoms is not new,yet it is curiously disjointed as a medical concept throughout documented histories on the subject.Individuals with long-term conditions that are rooted in acute viral infections,such as COVID-19,require a coordinated system of care that includes comprehensive rehabilitation.This commentary will discuss the philosophical underpinnings of the historical scarcity of documented incidences of individuals with chronic virus symptoms and the need for a shift in post-viral infection treatment approaches.
基金Data and Artificial Intelligence Scientific Chair at UmmAlQura University.
文摘Forecasting future outbreaks can help in minimizing their spread.Influenza is a disease primarily found in animals but transferred to humans through pigs.In 1918,influenza became a pandemic and spread rapidly all over the world becoming the cause behind killing one-third of the human population and killing one-fourth of the pig population.Afterwards,that influenza became a pandemic several times on a local and global levels.In 2009,influenza‘A’subtype H1N1 again took many human lives.The disease spread like in a pandemic quickly.This paper proposes a forecasting modeling system for the influenza pandemic using a feed-forward propagation neural network(MSDII-FFNN).This model helps us predict the outbreak,and determines which type of influenza becomes a pandemic,as well as which geographical area is infected.Data collection for the model is done by using IoT devices.This model is divided into 2 phases:The training phase and the validation phase,both being connected through the cloud.In the training phase,the model is trained using FFNN and is updated on the cloud.In the validation phase,whenever the input is submitted through the IoT devices,the system model is updated through the cloud and predicts the pandemic alert.In our dataset,the data is divided into an 85%training ratio and a 15%validation ratio.By applying the proposed model to our dataset,the predicted output precision is 90%.
文摘Two years into the SARS-CoV-2 pandemic the shining light of hope has been the speed at which vaccines have been developed based on a new platform technology allowing breakthroughs with other novel, neglected and emerging infectious diseases. Lurking in the shadows has been the various health care systems related to surveillance, data collection, access to basic health, fear, nationalism, government distrust, vaccine skepticism, global supply chain shortages, health worker shortages and misinformation. In this paper, I have tried to highlight the areas where lessons learned can make a difference for our response to the next pandemic at the local, state, national, regional, and global level.
文摘The coronavirus disease 2019(COVID-19)pandemic has stretched our healthcare system to the brink,highlighting the importance of efficient resource utilization without compromising healthcare provider safety.While advanced imaging is a great resource for diagnostic purposes,the risk of contamination and infection transmission is high and requires extensive logistical planning for intrahospital patient transport,healthcare provider safety,and post-imaging decontamination.This dilemma has necessitated the transition to more bedside imaging.More so than ever,during the current pandemic,the clinical utility and importance of point-of-care ultrasound(POCUS)cannot be overstressed.It allows for safe and efficient beside procedural guidance and provides front line providers with valuable diagnostic information that can be acted upon in real-time for immediate clinical decision-making.The authors have been routinely using POCUS for the management of COVID-19 patients both in the emergency department and in intensive care units turned into“COVID-units.”In this article,we review the nuances of using POCUS in a pandemic situation and maximizing diagnostic output from this bedside technology.Additionally,we review various methods and diagnostic uses of POCUS which can replace conventional imaging and bridge current literature and common clinical practices in critically ill patients.We discuss practical guidance and pertinent review of the literature for the most relevant procedural and diagnostic guidance of respiratory illness,hemodynamic decompensation,renal failure,and gastrointestinal disorders experienced by many patients admitted to COVID-units.
基金supported by the National Key Research and Development Program of China (grant 2017YFC1200202)the Major Special Projects for Infectious Disease Research of China (grant 2016ZX10004222003)+1 种基金the National Natural Science Foundation of China (grants 81401312 and 81373141)supported by the Excellent Young Scientist Program of the NSFC (81822040)
文摘Influenza is one of the oldest infectious diseases affecting humans. Every influenza pandemic in history has ended with disastrous outcomes regarding public health and the social economy. This year marks the 100th anniversary of the Spanish flu (H1N1) outbreak of 1918, which is recognized as the most lethal natural event in recent history.
基金We would like to thank all the farmers,village leaders,and enumerators for their participation in this studyacknowledge the financial supports of the National Social Science Foundation of China(19ZDA002)the National Natural Science Foundation of China(71742002,71861147003,71925009,and 71934003).
文摘Given the sudden outbreak of the COVID-19 pandemic,a timely study on the impacts of and policy response to the pandemic on rural poverty in China is critically important because China has aimed to completely eradicate extreme poverty by the end of 2020.This paper uses data from the latest round of a nationally representative household panel survey to examine the impacts of the pandemic on rural poverty in China.Our data show that 11.9%of sample households were ever officially registered as poor households between 2013 and 2019,and this poverty incidence fell to 2.7%by the end of 2019.In the middle February of 2020,23%of the households who have graduated from poverty since 2013 perceived that they would fall back into poverty due to the COVID-19.Among those never poor households,7.1%perceived that they would possibly fall into poverty due to the pandemic.Results from both descriptive and multivariate analyses consistently show the interruptions that the pandemic caused in off-farm employment is an important channel that led households to perceive of falling back into or falling into poverty.We also find households in the bottom four quintiles when ranked in terms of household income per capita are much more likely to perceive themselves of falling back into or falling into poverty during this pandemic than those in the richest quintile.Meanwhile,our results show that the education and age of household heads,as well as being from Hubei Province matter in explaining household perception about falling back into or falling into poverty in some cases but not all.The paper concludes with a set of policy responses that China has taken to mitigate the impact of COVID-19 pandemic on poverty alleviation.
基金Dr.Lin Benxi is supported by the Ministry of Agriculture and Rural Affairs of China(Project on“Agricultural Trade Monitoring and Early Warning of Key Commodities for Fujian Province”)for this study.
文摘The COVID-19 outbreak has shocked the world’s economies in the year of 2020.As this pandemic spreads around the globe,many experts feared that the global food supplies might start running short,especially if supply chains were disrupted.COVID-19 also added to the uncertainty of the business operation.Therefore,it is critical to understand how COVID-19 pandemic affected global food supply and market.In this study,we investigate the impact of COVID-19 on agricultural export companies in China using a unique firm-level survey data.We found that although on average agricultural businesses experienced declines in the exports,exports of some agricultural products especially grain and oil held strong and even increased,implying the essential demand for staple food during the pandemic.Not surprisingly,exports of medicinal herb also increased significantly during the pandemic.However,exports of goods such as edible fungus and horticultural products sharply decreased.Our results also showed that in general,impact of COVID-19 on smaller firms was more severe than that on larger firms.The results of this study can provide useful guidance and implications for agricultural businesses and policy makers on their COVID-19 mitigation efforts to navigate this global pandemic.
基金This work was supported by the National Natural Science Foundation of China(Nos.21806025 and 91843301)the Natural Science Foundation of Guangdong Province(No.2019A1515011294)+1 种基金the Science and Technology Planning Project of Guangdong Province(No.2020B1212030008)the National Key Research and Development Project(No.2019YFC1804604).
文摘The COVID-19 pandemic has raised awareness about various environmental issues,includ-ing PM_(2.5) pollution.Here,PM_(2.5) pollution during the COVID-19 lockdown was traced and an-alyzed to clarify the sources and factors influencing PM_(2.5) in Guangzhou,with an emphasis on heavy pollution.The lockdown led to large reductions in industrial and traffic emissions,which significantly reduced PM_(2.5) concentrations in Guangzhou.Interestingly,the trend of PM_(2.5) concentrations was not consistent with traffic and industrial emissions,as minimum concentrations were observed in the fourth period(3/01-3/31,22.45 μg/m^(3))of the lockdown.However,the concentrations of other gaseous pollutants,e.g.,SO_(2),NO_(2) and CO,were corre-lated with industrial and traffic emissions,and the lowest values were noticed in the sec-ond period(1/24-2/0_(3))of the lockdown.Meteorological correlation analysis revealed that the decreased PM_(2.5) concentrations during COVID-19 can be mainly attributed to decreased in-dustrial and traffic emissions rather than meteorological conditions.When meteorological factors were included in the PM_(2.5) composition and backward trajectory analyses,we found that long-distance transportation and secondary pollution offset the reduction of primary emissions in the second and third stages of the pandemic.Notably,industrial PM_(2.5) emis-sions from western,southern and southeastern Guangzhou play an important role in the formation of heavy pollution events.Our results not only verify the importance of control-ling traffic and industrial emissions,but also provide targets for further improvements in PM_(2.5) pollution.
文摘Travel restrictions and physical distancing have been implemented across the world to mitigate the coronavirus disease 2019(COVID-19)pandemic,but studies are needed to understand their effectiveness across regions and time.Based on the population mobility metrics derived from mobile phone geolocation data across 135 countries or territories during the first wave of the pandemic in 2020,we built a metapopulation epidemiological model to measure the effect of travel and contact restrictions on containing COVID-19 outbreaks across regions.We found that if these interventions had not been deployed,the cumulative number of cases could have shown a 97-fold(interquartile range 79–116)increase,as of May 31,2020.However,their effectiveness depended upon the timing,duration,and intensity of the interventions,with variations in case severity seen across populations,regions,and seasons.Additionally,before effective vaccines are widely available and herd immunity is achieved,our results emphasize that a certain degree of physical distancing at the relaxation of the intervention stage will likely be needed to avoid rapid resurgences and subsequent lockdowns.
基金funded by the National Natural Science Foundation of China(Grant No.41861134038,Grant No.41771197)Norwegian Research Council(Grant No.286773)the Fundamental Research Funds for the Central Universities.
文摘The COVID-19 pandemic has stalled and rolled back progress on Sustainable Development Goals(SDGs).Ecosys-tem services(ESs),defined as the contributions of ecosystems to human well-being,underpin the achievement of SDGs.To promote SDG achievement in post-pandemic era,we teased out the links between ESs and SDGs while examining the impact of COVID-19.We found that ESs benefited all SDGs,yet man-made pressures led to degra-dation of ecosystems and their services.There is broad consensus that the virus lurks in degraded ecosystems and generates spillover due to human interference.The pandemic and global lockdown/restriction disrupted the flow of ESs and altered human ESs demand,threatening the efforts for the SDGs.We suggested:1)to study the association and traceability of ESs-SDGs under the pandemic;2)to prioritize pressing issues such as health care,livelihood,and resource security and in the long run,we should promote human-nature harmony to achieve the SDGs;and 3)to enhance ESs and to promote the SDGs through local community efforts,ESs accounting,and ecosystem restoration.This paper provides insights into the importance of ESs to the SDGs and the ways to integrate ESs into socio-economic development to promote the SDG achievement after the pandemic.
基金supported by the National Natural Science Foundation of China(72288101,72201029,and 72322022).
文摘Accurate origin–destination(OD)demand prediction is crucial for the efficient operation and management of urban rail transit(URT)systems,particularly during a pandemic.However,this task faces several limitations,including real-time availability,sparsity,and high-dimensionality issues,and the impact of the pandemic.Consequently,this study proposes a unified framework called the physics-guided adaptive graph spatial–temporal attention network(PAG-STAN)for metro OD demand prediction under pandemic conditions.Specifically,PAG-STAN introduces a real-time OD estimation module to estimate real-time complete OD demand matrices.Subsequently,a novel dynamic OD demand matrix compression module is proposed to generate dense real-time OD demand matrices.Thereafter,PAG-STAN leverages various heterogeneous data to learn the evolutionary trend of future OD ridership during the pandemic.Finally,a masked physics-guided loss function(MPG-loss function)incorporates the physical quantity information between the OD demand and inbound flow into the loss function to enhance model interpretability.PAG-STAN demonstrated favorable performance on two real-world metro OD demand datasets under the pandemic and conventional scenarios,highlighting its robustness and sensitivity for metro OD demand prediction.A series of ablation studies were conducted to verify the indispensability of each module in PAG-STAN.
