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Healthcare systems are under increasing strain due to a myriad of factors, from a steadily ageing global population to the current COVID-19 pandemic. In a world where we have needed to be connected but apart, the need for enhanced remote and at-home healthcare has become clear. The Internet of Things (IoT) offers a promising solution. The IoT has created a highly connected world, with billions of devices collecting and communicating data from a range of applications, including healthcare. Due to these high volumes of data, a natural synergy with Artificial Intelligence (AI) has become apparent –big data both enables and requires AI to interpret, understand, and make decisions that provide optimal outcomes. In this extensive survey, we thoroughly explore this synergy through an examination of the field of the Artificial Intelligence of Things (AIoT) for healthcare. This work begins by briefly establishing a unified architecture of AIoT in a healthcare context, including sensors and devices, novel communication technologies, and cross-layer AI. We then examine recent research pertaining to each component of the AIoT architecture from several key perspectives, identifying promising technologies, challenges, and opportunities that are unique to healthcare. Several examples of real-world AIoT healthcare use cases are then presented to illustrate the potential of these technologies. Lastly, this work outlines promising directions for future research in AIoT for healthcare. IEEE
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Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children's NCP cases have gradually increased, and children's fever outpatient department has become the first strategic pass to stop the epidemic.Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis;triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children's fever in outpatient department during the novel coronavirus pneumonia epidemic period.Copyright © 2020 by the Chinese Medical Association.
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This paper aims to empirically substantiate the poverty-benefit effects of the integration of the three rural sector industries in China. The study results show that the integration of three rural industries has a significant poverty-benefiting impact. The heterogeneity analysis shows that the age, gender, education level, and region of the household head also have a certain degree of influence on the poverty-benefit effect of the integration of the three rural industries. The study of the poverty-benefit impacts of the integration of the three rural industries can provide theoretical support for China to consolidate its poverty-eradication achievements, promote the integration of the three rural industries, and comprehensively promote rural revitalization and accelerate agricultural and rural modernization. At the same time, China's experience also has implications for developing rural industrial integration in other countries.
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Objective Acute respiratory tract infection (ARTI) is one of the main diseases in childhood. This study aimed to monitor the distribution of respiratory tract viruses in children with ARTI in the impact of coronavirus disease 2019 (COVID-19). Methods We conducted surveillance of 2019 novel coronavirus, human metapneumovirus, respiratory syncytial virus, human adenovirus, human parainfluenza virus 1-3, and influenza A and B virus by using quantitative real-time polymerase chain reaction. Results During the winter of 2020 to 2021, among the 1,442 throat swabs we collected, 937 (64.98%, 937/1,442) were positive for respiratory viruses. Respiratory syncytial virus was the most frequently detected respiratory virus (34.12%, 492/1,442) and 2019 novel coronavirus and influenza A and B virus were not detected in the study period. Coinfection was observed in 156 positive samples including 149 samples of double infection and 7 of triple infection. The positive rate of viral respiratory tract infection in infants less than 6 months was the highest (72.95%) in the study period. Conclusion There are some differences in the distribution of respiratory viruses in children after the outbreak of COVID-19 in Hangzhou, China. © 2022 Georg Thieme Verlag. All rights reserved.
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This paper presents an empirical analysis of the relationship between human capital and rural laborers' willingness to return to their hometowns based on the moderating effect of identity in China. The results show that the level of human capital significantly affects the willingness of the mobile population to return to their hometowns, but this effect is reversed, i.e., the increase in the level of human capital reduces the willingness of rural laborers to return to their hometowns. The urban identity of rural laborers after flowing into cities has a significant positive moderating effect on their willingness to return to their hometowns. Improving the carrying capacity of economic development in rural areas, further strengthening infrastructure construction in rural areas to provide the material basis for rural revitalization and labor force return, and at the same time strengthening the education and training of farmers to enhance their main status is recommended.
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Purpose: The purpose of this paper is to quantify the evolutionary mechanism of coronavirus disease 2019 (COVID-19) impact on international construction multi-projects. Design/methodology/approach: From three concepts of complexity, stressor and detractor risks, a multi-project simulation model under COVID-19 outbreak is proposed to study the characteristics of contingency with three peaks of ordered and disordered states. Specially, COVID-19 brings forth mitigation fee, epidemic prevention fee, holdup fee and schedule delay fee of multi-projects. By integrating parametric model, Monte Carlo and chaos theory, a comparative analysis of its contingency with or without COVID-19 is conducted. Summarizing the simulated results, their total contingencies at certain risk tolerance are obtained at two status of static at one-time point and dynamic over time. Meanwhile, some major risks including detractors, complexities and stressors are screened out for mitigation, especially for epidemic prevention and control. Eventually, the real case is illustrated to demonstrate its validity. Findings: It provides a quantitative analysis framework for the impact of epidemic, a once-in-a-century black swan event with a long tail, on construction multi-projects. Practical implications: It conduct an effective model to quantify impacts of COVID-19 on international construction multi-projects for implementing effective counter-measures, which lay foundation for claims among different stakeholders. Originality/value: The term of detractor risk is applied to describe COVID-19 and quantify its impact upon international construction multi-projects. Further, a hybrid model by integrating parametric model and Monte Carlo in type I/II model is proposed to simulate their contingencies at disordered states. Finally, the simulated outcomes of these models are used to guide effective risk control to meet the requirements by the client. © 2022, Emerald Publishing Limited.
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To investigate the impact of COVID-19 traffic control policies on population flow in Changsha, this paper divided the prevention and traffic control policies into different stages corresponding to the real-time epidemic situation in Changsha. Based on Baidu migration big data, the difference- in- difference model was used to identify different stages of traffic prevention and control policies and quantify the effect of prevention. With the traffic control policy implemented during COVID-19, the average inflow intensity of Changsha City decreased by 83.68%, the average outflow intensity decreased by 69.24% and the internal travel intensity respectively, decreased by 59.74%. After the end of the traffic control policies, the population flow intensity of Changsha City gradually rebounded, and the urban internal travel intensity basically recovered to the same level as in 2019. The results indicated the effectiveness of the traffic control policies on the limitation of population flow and epidemic spread. The results also provide reference for making effective prevention and control policies for the normalized COVID-19 epidemic situations. Copyright © 2021 by Science Press.
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Affected by the COVID-19 epidemic, a series of lockdown control measures adopted by various regions have reduced the emission intensity of air pollutants. Taking Chengdu as an example, this study analyzed the meteorological conditions and pollution concentration characteristics in the first half of 2020 and focused on a detailed analysis of variations in ozone (O3) concentration. The results showed that: ①Compared with 2019, except for O3, all five pollutants in Chengdu showed a decreased trend, and the concentrations of NO2, CO, SO2, PM10 and PM2.5 decreased by 13.60%, 8.96%, 6.30%, 4.56%, 1.80%, respectively. On the contrary, O3 concentration increased abnormally, with the largest increase in February (35.1%) and May (36.1%). ②During the first half of 2020, the high O3 concentration level appeared earlier than in previous years (2015-2019). Meteorological conditions were more supportive to the generation of O3 also. The geopotential heights of 100 hPa and 500 hPa showed positive anomalies, the temperature and sunshine duration was higher than in previous years, and the relative humidity as well as precipitation were lower with a quiet breeze. ③The O3 formation process lasted a long time from April 25th to May 6th, mainly due to the increased emissions of O3 precursors during this period and the relatively stable weather situation, which kept the Chengdu area exposed to unfavorable weather conditions of high temperature (average temperature>30℃), low humidity (40%~60%), and quiet breeze (1.3 m•s-1) for a long time. The backward trajectories and potential sources of air pollution showed that the air quality was affected by the short-distance transportation of high-polluted air masses from the East of Chengdu and southern Sichuan. © 2021, Science Press. All right reserved.
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OBJECTIVE: To summarize the experience of three Chinese cities (Wuhan, Shanghai and Haikou) and provide a reference for global efforts to combat COVID-19 spread among children. MATERIALS AND METHODS: Through collecting the measures and outcomes of preventing and controlling COVID-19 in China's three hospitals, we compared the effect of different strategies. RESULTS: From January to March 2020, the number of suspected and confirmed COVID-19 cases in Wuhan increased exponentially, and Wuhan Children's Hospital as a whole was transformed into a designated quarantine and treatment facility, which is the "Wuhan Model". Shanghai has more children's hospitals with better capabilities to tackle public health emergency. Besides, it is far away from Wuhan and had a small caseload. Children's Hospital of Fudan University, a facility in Shanghai to treat pediatric infectious diseases, is famous for its well-equipped building for infectious disease treatment and professional medical team, and therefore no major transformation was required. That is the "Shanghai Model". Haikou is located on an island. Amid the outbreak, large numbers of tourists and travelers from Hubei had already arrived in Haikou. Hainan Women and Children's Medical Center, as the only pediatric care hospital in Hainan Province, did not have a separate building for infectious disease treatment. After a citywide survey of the medical resources and facilities available, a temporarily idle hospital 3 kilometers away from Hainan Women and Children's Medical Center was requisitioned as the quarantine and treatment facility for pediatric cases. That is the "Hainan Model". The three models enabled the treatment of all suspected and confirmed cases and no fatality was reported. CONCLUSIONS: The COVID-19 coping strategies for children should be designed according to the existing conditions of the local children's hospitals and the risk levels of the epidemic.