Article
Multidisciplinary Sciences
Bryant Ng, Herindita Puspitaningtyas, Juan Adrian Wiranata, Susanna Hilda Hutajulu, Irianiwati Widodo, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan
Summary: This study aimed to analyze the temporal and spatial variations of breast cancer incidence in Yogyakarta Province, Indonesia. The study found an increasing trend in breast cancer incidence and a higher proportion of late-stage diagnoses. Spatial clustering of breast cancer incidence was also identified, providing guidance for resource allocation and targeted prevention strategies.
Article
Management
Zeliha Cengiz, Kevser Isik, Zuleyha Gurdap, Emriye Hilal Yayan
Summary: In Turkey, nurses aged 41 and older, with diabetes, female, single professionals, and working in the pandemic department are more likely to take personal protective measures. The experiences of nurses during the pandemic mainly include psychological stress, personal protective equipment, and changes in professional values. To protect nurses, it is essential to provide psychosocial support, meet basic needs, and prevent complications due to increased workload.
JOURNAL OF NURSING MANAGEMENT
(2021)
Article
Public, Environmental & Occupational Health
Amanda M. Y. Chu, Jacky N. L. Chan, Jenny T. Y. Tsang, Agnes Tiwari, Mike K. P. So
Summary: This study used publicly available data to construct travel data records and illustrate pandemic connectedness through time-series plots and spatial-temporal maps. Analysis showed that network statistics can effectively identify communicable disease risks, and early signals can provide early warnings for outbreak detection.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2021)
Article
Urban Studies
Yixiong Xiao, Peng Gong
Summary: Analyzing urban scaling relations and incorporating spatial autocorrelation can help predict future city development and derive scale adjusted metropolitan indicators (SAMIs) for evaluating city performance. In this study, an eigenvector spatial filtering (ESF) model is proposed to capture the spatial effect in modeling the scaling relations of cities. Based on the residuals of the ESF model, a new set of urban indicators called spatial and scale adjusted metropolitan indicators (SSAMIs) is proposed to address the influence of spatial autocorrelation on SAMIs. The results from experiments in China and the United States show that the ESF model generates better-fitted results compared to non-spatial models, and using SSAMIs can avoid overestimations or underestimations of cities in different regions.
Article
Public, Environmental & Occupational Health
Mingma Li, Yuxiang Liu, Tao Yan, Chenghao Xue, Xiaoyue Zhu, Defu Yuan, Ran Hu, Li Liu, Zhiguo Wang, Yuanbao Liu, Bei Wang
Summary: This study aimed to describe the spatial epidemiological characteristics of mumps in Jiangsu, China. The findings showed a decline in mumps incidence with seasonal distribution in summer and winter. Children aged 5-10 years old were identified as the main risk group. Hot spots of mumps incidence were found to migrate over time from southeast to northwest.
EPIDEMIOLOGY AND INFECTION
(2022)
Article
Computer Science, Information Systems
Weifeng Shan, Zhihao Wang, Yuntian Teng, Maofa Wang
Summary: This study proposes a new method for analyzing the temporal and spatial evolution trends of earthquakes in California and Nevada from 1980 to 2019, revealing characteristics such as earthquake frequency, spatial distribution, movement patterns, and clustering distribution.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Multidisciplinary Sciences
Ting Cui, Peijiang Liu, Anwarud Din, Fawad Ali
Summary: In this article, a fractional epidemic model of coronavirus (COVID-19) with vaccination effects is proposed. The model analyzes the interaction among the human population and the external environmental factors of infected peoples, providing an additional description of the epidemic situation. The qualitative analysis and numerical solutions verify the proposed model and draw important conclusions that could contribute to in-depth studies of such epidemics.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Mehmet Hakan Taskin, Zafer Yazici, Gerald Barry
Summary: Healthcare workers have a higher risk of being infected with SARS-CoV-2 due to their frequent exposure to infected individuals. This study in Turkey found that approximately 23% of healthcare workers tested positive for anti-SARS-CoV-2 antibodies, and about 30% tested positive for the presence of SARS-CoV-2 RNA without exhibiting typical COVID-19 symptoms. These findings highlight the importance of regular testing for healthcare workers during periods of high community transmission to prevent the entry of the virus into healthcare settings.
Article
Mathematics
Tzung Hsuen Khoo, Dharini Pathmanathan, Sophie Dabo-Niang
Summary: This study investigates the spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries using the functional Moran's I statistic, classical PCA, and FASPCA. The research finds the presence of spatial autocorrelation among the stock exchanges during the 2015-2016 global market sell-off period. The stock exchange return data were converted into functional data for analysis.
Article
Psychiatry
Atahan Durbas, Hueseyin Karaman, Cagla Hamide Solman, Nisanur Kaygisiz, Ozdal Ersoy
Summary: The study showed that anxiety and stress levels among university students in Turkey during the COVID-19 pandemic are interrelated and influenced by factors such as gender, family member loss, and academic year. The biggest stressors for university students in Turkey were identified as danger factor and contamination fears, both categorized as moderate stressors. It is crucial to understand the long-term effects of COVID-19 and implement effective measures to support the mental and physical health of today's university students.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Green & Sustainable Science & Technology
Keqiang Dong, Liao Guo
Summary: This study aimed to identify the global transmission trend of COVID-19 using spatial correlation and spatial lag analysis. The findings showed that infection was aggregated during a specific period, and COVID-19 patients can infect others with a lag.
Article
Geosciences, Multidisciplinary
Shaghayegh Jabalameli, Yanqing Xu, Sujata Shetty
Summary: This study provides a detailed spatial-temporal analysis of Twitter online discourse during the early stage of vaccination rollout in Ohio and Michigan. It explores people's feelings about the pandemic, the most frequent topics of discussion, and the spatial distribution of these topics. Natural Language Processing using the LDA method is used to identify 11 topics and 8 sub-topics. The temporal analysis shows the sensitivity of online discourse to important news and government responses, while the spatial distribution analysis reveals concentrations in urban areas with high COVID-19 cases.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Virology
Jiaofeng Huang, Haicong Wu, Su Lin, Lingling Lu, Jiaolong Zheng, Bang Liu, Rahul Kumar, Dongliang Li
Summary: This study aims to describe the spatial and temporal variation of HIV/AIDS and syphilis in mainland China from 2007 to 2017. The study found that HIV and syphilis infection had similar incidence trends according to age and time stratification. New HIV infections were mainly reported in Xinjiang and southwestern China, while syphilis infections were highest in Xinjiang and southeast coastal areas (Zhejiang). Gross domestic product per capita was significantly positively correlated with syphilis infection, but not associated with HIV infection.
JOURNAL OF MEDICAL VIROLOGY
(2022)
Article
Geography
Jie Lin
Summary: This article compares multivariate spatial analysis methods that consider both multivariate covariance and explicit spatial dependence. The study extends two univariate autocorrelation measures and finds that the standard Moran component analysis is preferable for summarizing multivariate spatial structures. However, the generalized Geary principal component analysis performs as well as, if not better than, its counterpart. The choice of the appropriate tool depends on the correlation and variance of the spatial multivariate data in detecting subtle spatial structures.
GEOGRAPHICAL ANALYSIS
(2023)
Article
Environmental Sciences
Xing Wang, Dequn Zhou, Sahin Telli
Summary: This study investigates the nonlinearity and spatial transmission mechanism between financial development and pollutant emissions across regions in China. The results show spatial spillover effects on pollutant emissions, with financial development reducing SO2 emissions in a particular region but significantly increasing them in surrounding regions. However, financial development significantly decreases SW emissions in a particular region without significant impact on its surrounding regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Geography
Nese Aral, Hasan Bakir
Summary: This study evaluates the clusters of Covid-19 among the provinces in Turkey and examines the change in clustering pattern after the implementation of the country's lockdown strategy. The findings show that the complete lockdown in Turkey has been highly effective in mitigating Covid-19, and the importance of spatial relations in preventing the spread of the disease has been demonstrated.
Article
Construction & Building Technology
Gabriele Bernardini, Tiago Miguel Ferreira, Pilar Baquedano Julia, Rafael Ramirez Eudave, Enrico Quagliarini
Summary: This research offers a methodology for combined spatiotemporal flood risk assessment, considering hazard, physical vulnerability, user exposure, and vulnerability. It adopts a mesoscale approach and investigates indoor and outdoor users' exposure and vulnerability, using the Analytical Hierarchy Process to combine risk factors.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ying Liu, Chunli Chu, Ruijun Zhang, Shaoqing Chen, Chao Xu, Dongliang Zhao, Chunchun Meng, Meiting Ju, Zhi Cao
Summary: This study investigates the effects of increasing road, wall, and roof albedo on mitigating the urban heat island (UHI) effect in different areas of Tianjin. The results reveal that increasing road albedo is more effective in fringe areas, while increasing wall and roof albedo is more effective in central areas. The temperature changes induced by albedo changes also show seasonal characteristics.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Xisheng Lin, Yunfei Fu, Daniel Z. Peng, Chun-Ho Liu, Mengyuan Chu, Zengshun Chen, Fan Yang, Tim K. T. Tse, Cruz Y. Li, Xinxin Feng
Summary: This study employed computational fluid dynamics and neural network models to investigate and predict pollutant dispersion in urban environments, providing valuable insights for designing effective strategies to mitigate the impacts of hazardous pollutants.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Dipanjan Nag, Arkopal Kishore Goswami
Summary: Future-oriented urban planning should continue to focus on the principles of accessible and walkable cities. The perception of people is crucial for developing better urban walking infrastructure, but current evaluation tools often neglect the "perceived" features of the walking network. This study used conjoint analysis to evaluate users' perception of link and network attributes, revealing the importance of considering both in improving the walking environment.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yongxin Su, Tao Zhang, Mengyao Xu, Mao Tan, Yuzhou Zhang, Rui Wang, Ling Wang
Summary: This study proposes an optimization method for household integrated demand response (HIDR) by combining rough knowledge and a dueling deep Q-network (DDQN), aiming to address uncertainties in a household multi-energy system (HMES). The simulation results demonstrate that the proposed method outperforms rule-based methods and DDQN in terms of energy cost savings.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Sijia Sun, S. F. A. Batista, Monica Menendez, Yuanqing Wang, Shuang Zhang
Summary: This paper comprehensively analyzes the energy consumption characteristics of electric buses (EBs) and diesel buses (DBs) on different bus lane configurations and operational conditions. The study shows that EBs consume less energy in suburban areas when using regular lanes, while both EBs and DBs save substantial energy when operating on dedicated bus lanes in downtown areas. Notably, shared-use bus lanes have the highest energy consumption.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shangshang Shen, Dan Yan, Xiaojie Liu
Summary: This study developed a comprehensive theoretical framework for evaluating, diagnosing, and optimizing multi-functional urban agriculture. The framework was applied in Xiamen, China to identify the obstacles that impede its coordinated development and propose optimized modes for its development. Results showed that urban agriculture in Xiamen exhibits sound social function, moderate economic function, and poor ecological function.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Oluwafemi E. Adeyeri, Akinleye H. Folorunsho, Kayode I. Ayegbusi, Vishal Bobde, Tolulope E. Adeliyi, Christopher E. Ndehedehe, Akintomide A. Akinsanola
Summary: This study examines the impact of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics on land surface temperature distribution over West Africa. The random forest model performs the best in downscaling predictands. The southern regions consistently exhibit healthy vegetation, while areas with unhealthy vegetation coincide with hot land surface temperature clusters. Positive Normalized Difference Vegetation Index trends in the Sahel highlight rainfall recovery and subsequent greening. Southwest winds cause the upwelling of cold waters, resulting in low land surface temperatures in southern West Africa. Considering LVCET factors is crucial for prioritizing greening initiatives and urban planning.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yuchi Cao, Yan Li, Shouyun Shen, Weiwei Wang, Xiao Peng, Jiaao Chen, Jingpeng Liao, Xinyi Lv, Yifan Liu, Lehan Ma, Guodian Hu, Jinghuan Jiang, Dan Sun, Qingchu Jiang, Qiulin Liao
Summary: The study reveals significant disparities in urban green equity, with high property price areas having better access to green spaces than low property price areas. Landscape and greening have the most significant impact on urban green space differentiation.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shaobo Sun, Kui Shan, Shengwei Wang
Summary: Economizer control is an important measure for energy savings in air-conditioning systems during moderate seasons. Humidity measurement uncertainties have a significant impact on enthalpy-based economizer control, and an uncertainty-tolerant control strategy is proposed to mitigate these effects.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ding Mao, Peng Wang, Yi-Ping Fang, Long Ni
Summary: This study analyzes the structure, function, operation, and failure characteristics of district heating networks (DHNs) and proposes vulnerability analysis methods. The effectiveness of these methods is validated through application to a DHN in a Chinese city. The study finds that the heat source connectivity efficiency loss rate effectively characterizes topological and functional vulnerability. It also reveals that controllable DHNs have higher functional vulnerability under large area failure scenarios.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Hamid Karimi, Saeed Hasanzadeh, Hedayat Saboori
Summary: This paper presents a stochastic and cooperative approach for the operation of a cluster of interconnected multi-energy systems. The proposed model investigates the interaction among energy systems and integrates hydrogen and water systems into the overall energy structure. The model studies the performance of energy system agents in decentralized and cooperative scheduling.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, Luliang Tang
Summary: This study proposes a novel framework for fine-grained information extraction and dynamic spatial-temporal awareness in disaster-stricken areas based on social media data. The framework utilizes deep learning modules to extract location and water depth information from text and images, and analyzes the spatio-temporal distribution characteristics. The results show that the fusion of text and image-based information can enhance the perception of flood processes.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
M. A. Pans, G. Claudio, P. C. Eames
Summary: This study simulated and optimized a speculative district heating system in an existing urban area in Loughborough, UK. The system used only renewable heat sources and thermal energy storage to address the mismatch between heat generation and demand. The study assessed the impact of long-term storage volume and charging temperature on system cost and energy efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Jianmei Zhong, Wei Zhang, Xiaoli Wang, Jinsheng Zhan, Tao Xia, Lingzhi Xie, Xiding Zeng, Kun Yang, Zhangyu Li, Ruiwen Zou, Zepu Bai, Qing Wang, Chenyang Zhang
Summary: This study aims to propose a suitable air distribution design and reduce the energy consumption of the BSL-4 laboratory. It analyzes the diffusion characteristics of aerosols, infection risk under different air distributions, and ventilation parameters. The results show that the proposed energy-saving operation strategy can reduce the energy consumption of the laboratory by 15-30%.
SUSTAINABLE CITIES AND SOCIETY
(2024)