Publications by authors named "Yu-wan Hao"

Article Synopsis
  • China is working towards eliminating schistosomiasis, but faces challenges in managing infection sources and controlling snails, leading to a study that uses deep learning and remote sensing to track livestock, specifically bovine, which spread the disease.
  • Researchers developed two deep learning models, ENVINet5 and Mask R-CNN, using high-resolution images to identify and monitor bovine populations, achieving promising precision and recall metrics of up to 87.3% and 85.2%, respectively.
  • When applied to real-world scenarios, the Mask R-CNN model performed better with a recognition rate of 90.5% for bovine in schistosomiasis-prone areas, demonstrating its potential for effective disease
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Background: Flooding is considered to be one of the most important factors contributing to the rebound of Oncomelania hupensis, a small tropical freshwater snail and the only intermediate host of Schistosoma japonicum, in endemic foci. The aim of this study was to assess the risk of intestinal schistosomiasis transmission impacted by flooding in the region around Poyang Lake using multi-source remote sensing images.

Methods: Normalized Difference Vegetation Index (NDVI) data collected by the Landsat 8 satellite were used as an ecological and geographical suitability indicator of O.

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Article Synopsis
  • Parasitic diseases have been prevalent in China for a long time, but significant efforts over the past 70 years have reduced their impact, although challenges still remain.
  • The surveillance-response system is essential for tracking public health issues, understanding patterns of disease spread, identifying outbreaks, and assessing the effectiveness of interventions.
  • The article reviews the advancements in the surveillance system for parasitic diseases, highlighting the National Institute of Parasitic Diseases (NIPD)’s role and offering suggestions for improving the system to better control or eliminate these diseases.
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Objective: To explore the spatial-temporal clustering distribution of schistosomiasis transmission risk in Yunnan Province from 2004 to 2015, so as to provide scientific evidence for the future schistosomiasis control and consolidation of the control achievements.

Methods: All data pertaining to endemic situation of human and bovine schistosomiasis and snail survey at a township level in Yunnan Province from 2004 to 2015 were collected. A descriptive epidemiological method and Joinpoint model were used to describe the changing trends of infections in humans, bovine and snails, and the hotspots and clusters of schistosomiasis transmission risk were identified using spatial autocorrelation analysis, hotspots analysis and retrospective space-time scan statistic in Yunnan Province from 2004 to 2015.

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Article Synopsis
  • The study investigates the relationship between the geographical distribution of snails (intermediate hosts of schistosomiasis) and environmental factors in endemic areas along the Yangtze River in China.
  • The research utilizes high-resolution remote sensing to analyze environmental variables like NDVI, soil moisture, and proximity to water bodies that influence snail populations.
  • Findings suggest that this remote sensing approach enhances the accuracy of predicting schistosomiasis risk areas, thus supporting national efforts in schistosomiasis control.
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Objective: To understand the professional theory, prevention and control practice, experimental diagnosis and other technical skills of parasitic diseases among technicians of all levels of disease control and prevention institutions, so as to provide the evidence for strengthening the capacity building of Chinese professional personnel.

Methods: According to the method of recommendation at all levels, the subjects from disease control and prevention institutions at province, prefecture or county levels were chosen to assess the theory of parasitic diseases and test operation skills by using the method of answering the questions together with on-site operations in China. A database was built consisting of subjects' basic information and assessment scores.

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Objective: To assess the risk of imported leishmaniasis in China, offering scientific evidences for leishmaniasis prevention and control.

Methods: The expert consultation method was used to establish a risk index system, and the risk matrix was used to evaluate the risk scales of leishmaniasis.

Results: This risk assessment indicator system included 3 first-grade indexes and 13 second-grade indexes to the aspect of risk probability.

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Objective: To understand the epidemiological characteristics of death cases of echinococcosis in China from 2008 to 2016, so as to provide an important reference for the prevention and control of echinococcosis.

Methods: The death information registration and management system data were selected to analyze the epidemiological characteristics of the death cases of echinococcosis. The data were analyzed by SPSS 21.

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Objective: To understand the unhealthy related behaviors of echinococcosis patients in Tibetan region in Sichuan Province, so as to provide the references for the health education of echinococcosis.

Methods: The echinococcosis patients who were registered in the Tibetan region in Sichuan Province were selected as target population. The basic situation and unhealthy related behaviors of them were surveyed by individual interviews.

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Objective: To assess the theoretical knowledge and practical skills of parasitic diseases among technicians from disease control and prevention institutions.

Methods: The Assessment on National Parasitic Disease Control and Prevention Techniques was organized in September, 2015. Together, 124 subjects from disease control and prevention institutions at province, prefecture or county levels in 31 provinces joined the assessment.

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Objective: To analyze the characteristics of schistosomasis prevalence by using the spatial epidemiological method, and test the application of retrospective space-time permutation scan statistics in determining mountainous and lake-type endemic areas of schistosomiasis.

Methods: The data of schistosomasis in humans, cattle and snails in Jiangxi Province during 2009-2014 and in Yunnan Province during 2004-2013 were collected and analyzed. The temporal and spatial distribution of schistosomiasis endemic areas in the two provinces was analyzed with retrospective space-time permutation scan statistics.

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Objective: To provide the reference for schistosomiasis control through analyzing the changes of endemic status of schistosomiasis in China in recent years.

Methods: The annual data of schistosomiasis prevention and control from 2002 to 2012 were collected, and the descriptive analysis was conducted to describe the changes of schistosomiasis endemic status.

Results: Sichuan, Yunan and Jiangxi provinces reached the criteria of transmission controlled from 2002 to 2010 while Hubei, Hunan, Jiangxi and Anhui provinces reached the criteria of infection controlled in 2008.

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