Review
Public, Environmental & Occupational Health
Yuvraj Singh, M. A. Jabbar, Shishir Kumar Shandilya, Olena Vovk, Yaroslav Hnatiuk
Summary: Blockchain technology plays a significant role in the healthcare industry. It addresses challenges such as fragmented data, security, privacy, and interoperability, while also enhancing patient privacy.
FRONTIERS IN PUBLIC HEALTH
(2023)
Review
Public, Environmental & Occupational Health
Avirut Mehta, Dohyeong Kim, Nicholas Allo, Aina Olufemi Odusola, Chenchita Malolan, Fiemu E. Nwariaku
Summary: This study addresses the institutional and informational obstacles in understanding and mitigating road traffic injuries in low and middle-income countries (LMICs) by using geospatial analysis. The researchers developed a geocoding workflow to improve investigation of low-quality datasets in LMICs and applied it to an RTI dataset from Lagos State, Nigeria. The study highlights the implications of geospatial data analysis in LMICs on health resource allocation and patient outcomes.
Article
Public, Environmental & Occupational Health
Feng Hu, Liping Qiu, Yang Xiang, Shaobin Wei, Han Sun, Hao Hu, Xiayan Weng, Lidan Mao, Ming Zeng
Summary: Increasing global carbon emissions have caused natural disasters and climate anomalies that seriously threaten public health. To address environmental pollution, the Chinese government is committed to achieving peak carbon emissions and carbon neutrality goals. Low-carbon patent applications are crucial for achieving these goals and promoting public health. This study analyzed the situation, spatial network, and influencing factors of low-carbon patent applications in China since 2001 and found that the number of applications has been increasing, with larger numbers in the eastern region. At the interprovincial level, the network structure of low-carbon patent applications is complex, with eastern coastal provinces occupying the core position. At the urban agglomeration level, there is a radial structure with the central city as the core, and various factors such as innovation capability, economic development, and low-carbon awareness influence the cooperation networks.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Green & Sustainable Science & Technology
Alexandre Moragues, Joana Maria Segui-Pons, Antoni Colom Fernandez, Maurici Ruiz-Perez
Summary: This study aims to assess the accessibility of public hospital services in Mallorca, considering access time, the geographic distribution of the resident population, and tourist accommodations. A GIS-based analysis was conducted to examine the equity in the distribution of regional and reference hospitals across four Health Sectors. The findings reveal that accessibility to regional hospitals is generally favorable, while accessibility to referral hospitals is comparatively lower.
Article
Computer Science, Information Systems
Sultan Alamri
Summary: Improving spatial road networks through peer-to-peer updating can benefit cities by enhancing traffic flow. The current GPS services often have delays in updating road networks, causing inconvenience to drivers. This paper proposes solutions to facilitate real-time updates and monitoring of road conditions to improve navigation efficiency.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Geography
Jincai Huang, Yunfei Zhang, Min Deng, Zhengbing He
Summary: This study proposes a divide-and-conquer method to construct a spatial-semantic road map by integrating crowdsourced trajectories and geo-tagged data, enhancing the geometric structures and semantic information of the road map.
TRANSACTIONS IN GIS
(2022)
Review
Health Care Sciences & Services
Filipe Andrade Bernardi, Bibiana Mello de Oliveira, Diego Bettiol Yamada, Milena Artifon, Amanda Maria Schmidt, Victoria Machado Scheibe, Domingos Alves, Temis Maria Felix
Summary: This study analyzed the minimum data sets (MDSs) for rare diseases (RD) in healthcare networks worldwide and compared them with WHO guidelines. The findings revealed difficulties in standardizing and categorizing RD MDSs due to varying structures used in different studies. A fundamental global MDS for RD patient records was designed to address these issues and provide comprehensive data needs in clinical and management sectors. These results can aid policymakers in making strategic decisions related to RD.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Geochemistry & Geophysics
Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Ruisheng Wang, Jiguang Zhang, Xiaopeng Zhang
Summary: Extracting roads from high-resolution remote sensing images is crucial in various remote sensing applications. The complex shapes of roads, such as length, geometric deformation, and thinness, pose challenges for accurate extraction. To address this, we propose a novel road shape-aware network (RSANet) that efficiently captures global context with the efficient strip transformer module (ESTM), extracts adaptive context with the geometric deformation estimation module (GDEM), and balances foreground and background pixels with the road edge focal loss (REF loss). Extensive evaluations on public datasets demonstrate the effectiveness of RSANet in outperforming state-of-the-art methods for road extraction in remote sensing images.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Medicine, General & Internal
Sean Alan Flannigan, Meleckidzedeck Khayesi
Summary: This study utilized content analysis techniques on five United Nations Secretary General's reports to identify the wide range of activities implemented by UNRSC members during the Decade of Action. The activities included establishment of institutions, development of national strategies, workshops and training, and infrastructure improvement, all contributing to a balanced approach to road safety policy. These activities need to be sustained and evaluated in the future to have a significant impact on reducing road traffic deaths and injuries nationally and internationally.
Article
Environmental Sciences
Xudong Wang, Yujie Cai, Kang He, Sheng Wang, Yan Liu, Yusen Dong
Summary: Road extraction plays a crucial role in urban planning, rescue operations, and military applications, and deep learning methods have shown advantages in extracting road features from remote sensing images. However, existing methods have limitations in capturing long-distance road features and extracting road edge information, and have not been well validated for the Chinese region. To address these issues, this study proposes a novel road extraction model, called GLNet, which achieves better performance than state-of-the-art deep learning models on Chinese road datasets.
Article
Public, Environmental & Occupational Health
Sami Petricola, Marcel Reinmuth, Sven Lautenbach, Charles Hatfield, Alexander Zipf
Summary: This study compares raster- and network-based approaches to assess the loss of accessibility to health facilities after a severe flood event. The results showed discrepancies between the two methods, primarily due to incomplete mapping of road networks. The modified centrality indicator was found to be useful in identifying road segments prone to flooding and potential backup roads. The study highlights the importance of data quality assessments and mapping campaigns in the Global South.
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
(2022)
Article
Medical Informatics
Hossein Aghayari, Leila R. Kalankesh, Homayoun Sadeghi-Bazargani, Mohammad-Reza Feizi-Derakhshi
Summary: This study classified mobile apps related to road traffic health/safety into 4 categories and 21 subcategories through qualitative content analysis. Haddon's matrix was applied to analyze these mobile apps, revealing their characteristics in the domain of road traffic health & safety.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2021)
Article
Medicine, General & Internal
Jahirul Islam, Xiya Guo, Md Ahasan Ali, Md Ashraful Islam, Xin Qi, Guihua Zhuang
Summary: This study identified high-risk clusters of COVID-19 cases in Bangladesh and analyzed basic epidemiological issues. Further research is needed to investigate common risk behaviors among patients and other factors related to the spread of this infectious disease.
Article
Medicine, General & Internal
Julie A. Taylor, Sonya Crowe, Ferran Espuny Pujol, Rodney C. Franklin, Richard G. Feltbower, Lee J. Norman, James Doidge, Doug William Gould, Christina Pagel
Summary: Linking data sets from clinical and national audits, national registries, and other NHS encounter data can improve healthcare services, but the process of obtaining linked national data sets is challenging. The study for LAUNCHES QI faced challenges such as large amounts of information required, lack of clarity on processes, and resource constraints, leading to an extended timeframe of 2.5 years for data acquisition. Streamlining the application process for accessing data and providing clarity to data controllers could facilitate governance and accelerate scientific studies and healthcare improvements.
Article
Biotechnology & Applied Microbiology
Rui Dong, Guo-Cheng Yuan
Summary: Recent advancements in spatial transcriptomic technologies allow for characterization of cellular heterogeneity with spatial information. The spatialDWLS method presented in this study demonstrates superior performance in estimating cell-type composition compared to existing deconvolution methods, showing higher accuracy and speed. By applying spatialDWLS to a human developmental heart dataset, significant spatial-temporal changes in cell-type composition during development are observed.
Article
Sport Sciences
Matthew S. Cato, Katarzyna Wyka, Emily B. Ferris, Kelly R. Evenson, Fang Wen, Joan M. Dorn, Lorna E. Thorpe, Terry T-K Huang
JOURNAL OF SCIENCE AND MEDICINE IN SPORT
(2020)
Article
Clinical Neurology
Kimberly L. Savin, Sanjay R. Patel, Taylor L. Clark, Julia Bravin, Scott C. Roesch, Daniela Sotres-Alvarez, Yasmin Mossavar-Rahmani, Kelly R. Evenson, Martha Daviglus, Alberto R. Ramos, Phyllis C. Zee, Marc D. Gellman, Linda C. Gallo
Summary: The study revealed an inverse linear relationship between sleep duration and physical activity, and found that variability in sleep midpoint was associated with physical activity. However, sleep midpoint and duration variability were not linked to physical activity.
BEHAVIORAL SLEEP MEDICINE
(2021)
Article
Transportation
Xavier Delclos-Alio, Daniel A. Rodriguez, Catalina Medina, J. Jaime Miranda, Ione Avila-Palencia, Felipe Targa, Mika R. Moran, Olga Lucia Sarmiento, D. Alex Quistberg
Summary: Walking is a common mode of transportation in Latin American cities, contributing significantly to physical activity levels. The study shows that approximately 30% of trips in the analyzed cities are completed solely by walking, but this pedestrian dimension of mobility is often underestimated without considering walking incidental to other transportation modes. Promoting public transportation can help certain population groups achieve daily recommended levels of physical activity.
Article
Environmental Sciences
Ione Avila-Palencia, Daniel A. Rodriguez, J. Jaime Miranda, Kari Moore, Nelson Gouveia, Mika R. Moran, Waleska T. Caiaffa, Ana V. Diez Roux
Summary: Features of the urban physical environment are associated with hypertension in Latin American cities, with fragmentation, mass transit, population density, and intersection density playing potential roles.
ENVIRONMENTAL HEALTH PERSPECTIVES
(2022)
Article
Environmental Sciences
Chao Wang, Tamlin M. Pavelsky, Fangfang Yao, Xiao Yang, Shuai Zhang, Bruce Chapman, Conghe Song, Antonia Sebastian, Brian Frizzelle, Elizabeth Frankenberg, Nicholas Clinton
Summary: Extreme precipitation events are causing increased flooding due to climate change. By combining polarimetric decomposition methods and a Random Forest classifier, along with linear polarizations and terrain variables, the accuracy of flood inundation classification can be significantly improved. This research is important for flood disaster response, management, and prevention.
WATER RESOURCES RESEARCH
(2022)
Article
Ecology
Mika R. Moran, Daniel A. Rodriguez, Andrea Cortinez-O'Ryan, J. Jaime Miranda
Summary: Parks and greenspaces can improve personal health through psychological restoration and increased well-being, but may also have adverse effects under certain circumstances. This study found that high self-reported park proximity was associated with lower perceptions of social disorder, but this association was no longer significant after considering neighborhood characteristics. Significant interactions were observed between park proximity and neighborhood characteristics.
LANDSCAPE AND URBAN PLANNING
(2022)
Article
Transportation
C. Erik Vergel-Tovar, Daniel A. Rodriguez
Summary: This study examines the impacts of BRT on land use and development in Bogotá and Quito. The results show that parcels near the BRT in Bogotá are more likely to change uses towards commercial activities, but with lower development intensity. In Quito, the results are mixed, with different BRT corridors showing varied levels of development activity.
JOURNAL OF TRANSPORT AND LAND USE
(2022)
Article
Environmental Sciences
Joanna M. N. Guimaraes, Binod Acharya, Kari Moore, Nancy Lopez-Olmedo, Mariana Carvalho de Menezes, Dalia Stern, Amelia Augusta de Lima Friche, Xize Wang, Xavier Delclos-Alio, Daniel A. Rodriguez, Olga Lucia Sarmiento, Leticia de Oliveira Cardoso
Summary: This study investigates the association between travel time and dietary patterns in Latin American cities. The findings suggest that longer travel time and delay time are associated with lower consumption of vegetables and higher consumption of sugar-sweetened beverages. This association is more significant in larger cities, indicating that travel time and delay time may be urban determinants of food consumption.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Ione Avila-Palencia, Brisa N. Sanchez, Daniel A. Rodriguez, Carolina Perez-Ferrer, J. Jaime Miranda, Nelson Gouveia, Usama Bilal, Andres F. Useche, Maria A. Wilches-Mogollon, Kari Moore, Olga L. Sarmiento, Ana V. Diez Roux
Summary: This study investigates the relationship between urban landscape profiles and health and environmental outcomes, and explores the potential co-benefits. The study uses data from 208 cities in 8 Latin American countries and defines four urban landscape profiles based on fragmentation, isolation, and shape of patches. The findings suggest that different landscape profiles are associated with varying co-benefits, and certain profiles have positive or negative effects on health and environmental outcomes.
Article
Public, Environmental & Occupational Health
Lilah M. Besser, Jana Hirsch, James E. Galvin, John Renne, Juyoung Park, Kelly R. Evenson, Joel D. Kaufman, Annette L. Fitzpatrick
Article
Public, Environmental & Occupational Health
Kelly R. Evenson, Anna K. Porter, Kristine L. Day, Carol McPhillips-Tangum, Karma E. Harris, Chris S. Kochtitzky, Philip Bors
PREVENTING CHRONIC DISEASE
(2020)
Review
Public, Environmental & Occupational Health
Carmen C. Cuthbertson, Emily E. Pearce, Carmina G. Valle, Kelly R. Evenson
CURRENT EPIDEMIOLOGY REPORTS
(2020)
Article
Public, Environmental & Occupational Health
Loneke T. Blackman Carr, Carmen D. Samuel-Hodge, Dianne S. Ward, Kelly R. Evenson, Shrikant I. Bangdiwala, Deborah F. Tate
Article
Geriatrics & Gerontology
Purva Jain, John Bellettiere, Nicole Glass, Michael J. LaMonte, Chongzhi Di, Robert A. Wild, Kelly R. Evenson, Andrea Z. LaCroix
Summary: This prospective study among older women found that higher levels of accelerometer-measured standing were associated with lower risks of all-cause mortality. Standing is a feasible approach to interrupting prolonged sedentary time and appears to benefit health in older ages.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2021)
Article
Public, Environmental & Occupational Health
Ricky Camplain, Daniela Sotres-Alvarez, Carolina Alvarez, Rebbecca Wilson, Krista M. Perreira, Sheila F. Castaneda, Gina Merchant, Marc D. Gellman, Earle C. Chambers, Linda C. Gallo, Kelly R. Evenson
PREVENTIVE MEDICINE REPORTS
(2020)
