Article
Economics
Shaoying Li, Caigang Zhuang, Zhangzhi Tan, Feng Gao, Zhipeng Lai, Zhifeng Wu
Summary: This study introduces a method based on gravity model and Bayesian rules for inferring the trip purposes of dockless shared-bike users, which was applied in Shenzhen, China. The research considers various comprehensive factors, such as distance, time, environment, activity type proportion, and service capacity of points of interest (POIs). Results demonstrate that introducing activity type proportion and service capacity of POIs can enhance the effectiveness of inferring the purposes of dockless shared-bike trips.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Ecology
Jingwen Ma, Xue Ding, Yuqin Shu, Zaheer Abbas
Summary: Ecosystem health in the Liuxi River Basin was quantitatively and dynamically assessed using a 250 m x 250 m grid scale and the VORS model. The results showed that water areas had the highest ecosystem health level, while construction land had the lowest. The increase in construction land resulted in substantial loss of broadleaf forests, shrublands, and wetlands, leading to a decline in ecosystem health. The study also found a strong correlation between ecosystem services and ecosystem health. The findings provide important insights for ecosystem health evaluation, conservation, and management in small basins.
ECOLOGICAL INFORMATICS
(2022)
Article
Virology
Cynthia Vazquez, Luiz Carlos Junior Alcantara, Vagner Fonseca, Mauricio Lima, Joilson Xavier, Talita Adelino, Hegger Fritsch, Emerson Castro, Carla de Oliveira, Gabriel Schuab, Alex Ranieri Jeronimo Lima, Shirley Villalba, Andrea Gomez de la Fuente, Analia Rojas, Cesar Cantero, Fatima Fleitas, Carolina Aquino, Andrea Ojeda, Guillermo Sequera, Juan Torales, Julio Barrios, Maria Carolina Elias, Felipe C. M. Iani, Maria Jose Ortega, Maria Liz Gamarra, Romeo Montoya, Evandra Strazza Rodrigues, Simone Kashima, Sandra Coccuzzo Sampaio, Norma Coluchi, Juliana Leite, Lionel Gresh, Leticia Franco, Jose Lourenco, Jairo Mendez Rico, Ana Maria Bispo de Filippis, Marta Giovanetti
Summary: Due to the significant threat of dengue virus in Paraguay, further prevention and control measures are necessary. Genomic surveillance reveals the co-circulation of multiple dengue virus serotypes in Paraguay and highlights the possible role of Brazil as a source for international dispersion of different viral strains. This emphasizes the need for increased surveillance across borders.
Article
Microbiology
Andre de Souza Leandro, Mario J. C. Ayala, Renata Defante Lopes, Caroline Amaral Martins, Rafael Maciel-de-Freitas, Daniel A. M. Villela
Summary: This study used data from reported dengue cases and entomological indicators to evaluate the spatial and temporal association between vector infestation and the occurrence of dengue cases. The findings showed low correlation between Ae. aegypti and dengue incidence, and the entomological indexes were not effective in providing dengue risk alerts. Further investigation is needed to understand the variation of factors in areas with and without correlation.
Article
Computer Science, Information Systems
Jae-Yeul Kim, Jong-Eun Ha
Summary: Visual surveillance through deep learning has shown superior performance, but there are still challenges in areas such as static foreground, dynamic background, hard shadow, and camouflage. This paper proposes a data augmentation technique to improve performance, particularly in complex areas.
Article
Physics, Multidisciplinary
Saulo D. S. D. Reis, Lucas Boettcher, Joao P. da C. Nogueira, Geziel S. Sousa, Antonio S. Lima S. Neto, Hans J. J. Herrmann, Jose S. Andrade
Summary: Based on a dataset of dengue cases in Fortaleza from 2011 to 2016, this study examines the spatio-temporal characteristics of dengue outbreaks and identifies differences between epidemic and non-epidemic years. The research suggests that factors like citizen mobility play a significant role in the spatial spread of the disease and that there are higher spatial correlations in epidemic years.
FRONTIERS IN PHYSICS
(2022)
Article
Biodiversity Conservation
Shuai Zhou, Yimin Wang, Ziyan Li, Jianxia Chang, Aijun Guo, Kai Zhou
Summary: This study utilized the SPEI and run theory, combined with geographic statistics analysis method, to investigate the spatiotemporal evolution characteristics of drought events in China Mainland. Results indicated a gradual increase in drought trend in basins such as the Yellow River Basin, the Hai River Basin and the Southwest River Basins.
ECOLOGICAL INDICATORS
(2021)
Article
Microbiology
Hong-Ling Jia, Peng Li, Hong-Jie Liu, Jia-Yong Zhong, Peng-Zhe Qin, Wen-Zhe Su, Ying-Feng Zheng, Kui-Biao Li, Qing Zeng, Jin-Hui Li, Li-Zhong Li, Lan Cao, Ji-Bin Wu, Yi-Yun Chen, Lei-Li Jia, Hong-Bin Song, Qi-Wei Zhang, Guang Yang, Chun-Xia Jing, Xiao-Chen Bo, Zhou-Bin Zhang, Biao Di, Chuan-Le Xiao, Ming Ni
Summary: The study shows that in Guangzhou, China, a small outbreak was monitored with comprehensive genomic surveillance of SARS-CoV-2. Despite diverse viral variants in imported cases, local transmission was mainly traced back to specific variants imported from Africa.
JOURNAL OF CLINICAL MICROBIOLOGY
(2021)
Article
Immunology
Irina Maljkovic Berry, Melanie C. Melendrez, Simon Pollett, Katherine Figueroa, Darunee Buddhari, Chonticha Klungthong, Ananda Nisalak, Michael Panciera, Butsaya Thaisomboonsuk, Tao Li, Tyghe G. Vallard, Louis Macareo, In-Kyu Yoon, Stephen J. Thomas, Timothy Endy, Richard G. Jarman
Summary: Researchers used phylogenomic analysis to study household transmissions of dengue virus in Kamphaeng Phet, Thailand, finding that on average, dengue disperses 70 meters per day between households in the community. This approach provides a framework for public health tools to inform control approaches and track dengue transmissions accurately.
EMERGING INFECTIOUS DISEASES
(2021)
Article
Multidisciplinary Sciences
Yi He, Wenhui Wang, Youdong Chen, Haowen Yan
Summary: The study analyzed the land use changes and evolution of ecosystem service value in the main urban area of Guangzhou using multi-temporal remote sensing images. The expansion of built-up land, reduction of forest and cultivated land led to a decrease in ecosystem service value. Water supply, food production, nutrient cycling, and gas regulation were identified as the main ecosystem service functions affected by these land use changes.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Bohai Zhang, Furong Li, Huiyan Sang, Noel Cressie
Summary: The decline of Arctic sea ice extent has become a significant concern among scientists. By analyzing remote sensing data and employing a spatio-temporal logistic autoregressive model, researchers have found that Arctic sea ice is experiencing a consistent decline and contraction, particularly at higher latitudes. This has important implications for understanding the impact of climate change on sea ice.
Article
Multidisciplinary Sciences
Fangxiong Wang, Ziqian Tan, Zaihui Yu, Siqi Yao, Changfeng Guo
Summary: The study found that the migration volume is influenced by the geographical proximity, relationship, and economic development of the source region, while the severity of the epidemic mainly depends on the migration volume and the severity of the epidemic in the source region. The epidemic risk is related not only to the severity of the epidemic in the source region but also to the degree of urban traffic development and the degree of urban openness. After the resumption of work, the pressure of epidemic prevention and control is mainly concentrated in Shenzhen and Guangzhou, with lower pressure in regions farther away from the core cities, and the mass migration of the population makes it difficult to control the epidemic effectively.
Article
Microbiology
Shumaila Alam, Mehran Khan, Abdulaziz Alouffi, Mashal M. Almutairi, Shafi Ullah, Muhammad Numan, Nabila Islam, Zaibullah Khan, Ome Aiman, Sher Zaman Safi, Tetsuya Tanaka, Abid Ali
Summary: This study investigated the tick prevalence, host range, genetic diversity, and molecular survey of Anaplasma spp. in different tick species in the southern regions of Khyber Pakhtunkhwa (KP), Pakistan. The results revealed variations in infection rates and genetic characteristics among different tick species, and provided the first molecular level information on Haemaphysalis cornupunctata.
Article
Mathematics
Nurul Syafiah Abd Naeeim, Nuzlinda Abdul Rahman, Nor Azura Md Ghani
Summary: This paper discusses the development and application of spatio-temporal disease models, and uses GLMM with INLA methodology for model fitting. The main objectives are to choose the best model to represent the pattern of dengue incidence in Peninsular Malaysia from 2015 to 2017, estimate the relative risk of disease, and visualize the spatial pattern and temporal trend of risk. The models were applied to weekly dengue fever data at the district level. The study concludes that there was a difference in dengue trend for each district during the study period, and the models effectively identified high and low risk areas of dengue incidence.
BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY
(2022)
Article
Environmental Sciences
Andri Freyr Poroarson, Andreas Baum, Monica Garcia, Sergio M. Vicente-Serrano, Anders Stockmarr
Summary: In this study, EM Tucker method was used to fill missing information in NDVI images, and consistently yielded the most accurate results compared to simple mean imputation, spatio-temporal hybrid method, and iterative method based on principal component analysis across three simulated data sets.
Article
Infectious Diseases
Xiao-Hong Huang, Men-Bao Qian, Guang-Hu Zhu, Yue-Yi Fang, Yuan-Tao Hao, Ying-Si Lai
PLOS NEGLECTED TROPICAL DISEASES
(2020)
Article
Infectious Diseases
Benyun Shi, Jinxin Zheng, Shang Xia, Shan Lin, Xinyi Wang, Yang Liu, Xiao-Nong Zhou, Jiming Liu
Summary: This study aimed to assess the impact of the COVID-19 pandemic on malaria transmission potential in African countries. Using data-driven methods, the study found that earlier interventions and combined NPIs were more effective in controlling the epidemic and mitigating its impact. Despite stringent NPIs, malaria transmission potential remained higher than expected in the second half of 2020.
INFECTIOUS DISEASES OF POVERTY
(2021)
Article
Health Care Sciences & Services
Jinxin Zheng, Benyun Shi, Shang Xia, Guojing Yang, Xiao-Nong Zhou
Summary: This study used a MARSS model to identify three clusters of malaria cases along the border to Myanmar in southern China, showing a decreasing trend in transmission patterns. The proposed methodology offers a simple and rapid way to categorize patterns of malaria foci for active monitoring during the elimination phase.
Article
Environmental Sciences
Guanghu Zhu, Min Kang, Xueli Wei, Tian Tang, Tao Liu, Jianpeng Xiao, Tie Song, Wenjun Ma
Summary: This study quantified the effects of different interventions towards Live Poultry Markets (LPMs) for controlling H7N9 transmission in Guangdong Province. Temporary, seasonal, and permanent closure of LPMs can substantially reduce transmission risk, while the 1110 policy has limited effectiveness in preventing H7N9 transmission.
ENVIRONMENTAL RESEARCH
(2021)
Article
Materials Science, Multidisciplinary
Zhaowang Zhang, Lingming Kong, Hualiang Lin, Guanghu Zhu
Summary: The current COVID-19 pandemic poses serious threats to global public health and economy. Research indicates that there is interaction and mutual restraint among disease transmission, quarantine, and economics, highlighting the need to find optimal strategies for disease control and economic development.
RESULTS IN PHYSICS
(2021)
Article
Engineering, Mechanical
Qiaojuan Jia, Jiali Li, Hualiang Lin, Fei Tian, Guanghu Zhu
Summary: The study uses a dynamic transmission model to analyze the transmission patterns and driving mechanisms of COVID-19 in Chinese provinces. It finds that without intervention, the virus would quickly spread throughout China, with travel restrictions and other interventions needed for control. Additionally, high levels of human mobility can facilitate the transmission of the virus across provinces, particularly in central and eastern China.
NONLINEAR DYNAMICS
(2022)
Article
Biology
Guanghu Zhu, Yuanyuan Shi, Yuye Li, Gaoxi Xiao, Jianpeng Xiao, Qihuai Liu
Summary: This paper develops a new dynamic process-based mathematical model to analyze the risk and influencing factors of Zika virus transmission in Singapore and Southeast Asia. The results show a high risk of Zika virus attack in the Southeast Asian region.
BULLETIN OF MATHEMATICAL BIOLOGY
(2022)
Letter
Infectious Diseases
Zhaowan Li, Xin Xin Li, Yueling Chen, Qianqian Ruan, Xiaorong Huang, Guanghu Zhu, Jiufeng Sun
JOURNAL OF INFECTION
(2022)
Article
Biology
Zhaowan Li, Jianguo Zhao, Yuhao Zhou, Lina Tian, Qihuai Liu, Huaiping Zhu, Guanghu Zhu
Summary: The study developed a transmission model to analyze the impact of adaptive behaviors and vaccination on the spread of COVID-19. By validating the model with surveillance data in multiple countries, the researchers quantified the protection effect of adaptive behaviors and found that they can significantly reduce human infections. The study also highlighted the importance of high vaccination coverage for complete prevention. These findings provide insights for understanding and controlling the ongoing COVID-19 pandemic.
JOURNAL OF THEORETICAL BIOLOGY
(2023)
Review
Pharmacology & Pharmacy
Yourong Zhou, Yiming Yin, Jiangxin Xu, Zhifei Xu, Bo Yang, Qiaojun He, Peihua Luo, Hao Yan, Xiaochun Yang
Summary: Alectinib is a second-generation ALK tyrosine kinase inhibitor used to treat ALK+ NSCLC, but its long-term use can cause serious and life-threatening adverse events. There are currently no effective interventions for these adverse events, which leads to delays in patient treatment and limits its long-term clinical use.
EXPERT OPINION ON PHARMACOTHERAPY
(2023)
Article
Pharmacology & Pharmacy
Yanjun Zhou, Luan Jia, Guangshuai Zhang, Gang Chen, Di Zhou, Xianbao Shi, Qiang Fu, Ning Li
Summary: This study developed a dissolvable microneedle loaded with cedrol to deliver the drug directly to the dermis for increasing the drug concentration in the hair follicles. The microneedle showed good mechanical properties and effectively promoted hair growth, offering a promising strategy for treating hair loss.
EXPERT OPINION ON DRUG DELIVERY
(2023)
Article
Public, Environmental & Occupational Health
Yuhao Zhou, Zhaowan Li, Wei Wu, Jianpeng Xiao, Wenjun Ma, Guanghu Zhu
Summary: We developed a mechanism model to simulate the transmission dynamics of COVID-19, considering the effects of adaptive behaviors and vaccination, aiming at predicting the end time of global COVID-19 infection. Based on surveillance data from January 22, 2020, to July 18, 2022, we validated the model using the Markov Chain Monte Carlo (MCMC) fitting method. Our findings indicate that vaccination and collective protection behaviors play crucial roles in controlling the global transmission of COVID-19.
EPIDEMIOLOGY AND INFECTION
(2023)
Article
Environmental Sciences
Yawen Zhou, Yujun Shen, Huihui Wang, Yiman Jia, Jingtao Ding, Shengyuan Fan, Danyang Li, Aiqin Zhang, Haibin Zhou, Qing Xu, Qian Li
Summary: The addition of biochar in composting human excreta was found to improve temperature, accelerate humification, and impact the diversity of bacteria and fungi.
ENVIRONMENTAL TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Benyun Shi, Jianan Zhong, Hongjun Qiu, Qing Bao, Kai Liu, Jiming Liu
Summary: This paper focuses on a hybrid network embedding problem that aims to simultaneously preserve both structural proximity and equivalence of network nodes. By introducing the concept of graphlet degree vector (GDV) and implementing cross-layer random walk methods, the proposed approach shows superior performance in tasks such as node clustering, node classification, and label prediction on both synthetic and real-world datasets.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Huan Liu, Qing Bao, Hongjun Qiu, Ming Xu, Benyun Shi
Summary: This study focuses on identifying the sources of asymptomatic spread on complex networks by monitoring a small number of network nodes. The use of a continuous-time SI model and Monte Carlo approximation with importance sampling allows for a high identification accuracy compared to benchmark methods. The method is validated on both synthetic and real-world networks, demonstrating superior performance in source identification.