中国血吸虫病防治杂志最新文献

{"title":"[Metagenomic next - generation sequencing for diagnosis of infection of unknown origin in intensive care units: a bibliometric analysis].","authors":"K Chen, L Huang","doi":"10.16250/j.32.1915.2026077","DOIUrl":"https://doi.org/10.16250/j.32.1915.2026077","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the scientific outputs of metagenomic next-generation sequencing (mNGS) for diagnosis of infection of unknown origin in intensive care units (ICUs), and to decipher the latest advances, frontier trends and spatiotemporal evolution of research hotpots in mNGS for diagnosis of infection of unknown origin in ICUs.</p><p><strong>Methods: </strong>Publications pertaining to the application of mNGS in diagnosis of infection of unknown origin in ICUs were retrieved from Web of Science Core Collection (WOSCC) from January 1, 2015 to December 31, 2024. The software Scimago Graphica 1.0.30 was employed to generate the network maps of collaboration relationships between countries, international collaborative relationships, author collaborations, institutional collaborative relationships, and a heatmap of journals, and the software VOSviewer 1.6.18 was used to create a heatmap of keywords, and maps of keyword co-occurrence clustering and keyword clustering timelines. In addition, the keyword burst map was created using the software CiteSpace 6.3.R3.</p><p><strong>Results: </strong>A total of 1 707 publications were included in the final analysis, and the number of publications appeared an overall tendency towards a rise from 2015 to 2024, with the largest number of publications seen in 2024 (545 publications). The largest number of publications was recorded in China (1 390 publications), followed by in USA (190 publications) and United Kingdom (31 publications), and China led the global research in this field, with 81% of global related researches linked with China. Frontiers in Cellular and Infection and Microbiology published the largest number of articles (212 publications, 12.42%), and Joseph Derisi was the most productive author (33 publications). Author collaborations occurred within groups; however, there was a lack of close inter-group collaborations, with University of California, San Francisco and Chan Zuckerberg Biohub-based group seen as the largest collaborative group. High-frequency co-occurrence keywords included mNGS, infection, diagnosis, case report, community-acquired pneumonia and bronchoalveolar lavage fluid, and the 100 most common high-frequency co-occurrence keywords were assigned into four clusters. Keyword clustering timeline analysis revealed that the research hotspots in this field shifted from virus sequencing and sequence alignment to severe pulmonary infections, and keyword burst analysis showed identification, mNGS and virus as top three keywords with the highest burst intensity.</p><p><strong>Conclusions: </strong>mNGS was mainly used for identification of viruses among patients with infections of unknown origins in ICUs from 2015 to 2024, and future research priority shifted to pathogen detection for severe pulmonary infections.</p>","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"79-83"},"PeriodicalIF":0.0,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[China - Africa cooperation for tropical diseases control: current status and future priorities].","authors":"S Lu, K Yang, Y Qian, D Wang, L Shan, X Zhou","doi":"10.16250/j.32.1915.2026045","DOIUrl":"https://doi.org/10.16250/j.32.1915.2026045","url":null,"abstract":"<p><p>Tropical diseases, the transmission of which is affected by multiple natural and social factors, pose a great challenge to global public health, notably in African countries. During the past several decades, China and African countries have continuously collaborated for the control of neglected tropical diseases and malaria, which has become an important part of global South-to-South cooperation and global health governance. This article reviews the history of China-Africa cooperation for tropical diseases control, summarizes the experiences and achievements over the past decade, analyzes the current challenges in the coopera tion, and proposes future recommendations. The China-Africa cooperation has achieved significant progress in the control of tropical diseases, such as malaria, schistosomiasis, and filariasis, and established a China-Africa cooperation network for tropical diseases control. Through the \"Three-Step\" strategy of China-Africa cooperation, the effectiveness of China's integrated control strategies has been validated in Africa, and the application of China's tropical disease control technologies has been promoted in African disease-epidemic countries. Currently, China-Africa collaboration, however, still experiences multiple realistic challenges, such as insufficient resources, difficulty in technology transfer, and weak primary healthcare systems. In the future, both sides are recommended to further strengthen policy coordination, deepen technological cooperation, innovate cooperation models, aiming to continuously promote the high-quality development of China-Africa cooperation for tropical diseases control.</p>","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Surveillance of schistosomiasis in Jiangsu Province from 2012 to 2024].","authors":"W Li, J Zhang, L Shi, T Wang, Y Feng, L Liu, K Yang","doi":"10.16250/j.32.1915.2026043","DOIUrl":"https://doi.org/10.16250/j.32.1915.2026043","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To evaluate the effectiveness of schistosomiasis surveillance in Jiangsu Province during the stage moving from transmission control to transmission interruption, and to analyze the current risk and challenges, so as to provide the evidence for achieving the target of schistosomiasis elimination.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Schistosomiasis surveillance data were collected from Jiangsu Province from 2012 to 2024, and the endemic areas, &lt;i&gt;Schistosoma japonicum&lt;/i&gt; infections in humans and livestock, &lt;i&gt;Oncomelania hupensis&lt;/i&gt; snail distribution and implementation of integrated interventions were descriptively analyzed. In addition, the trends in areas with snails, seroprevalence of human &lt;i&gt;S. japonicum&lt;/i&gt; infections and numbers of advanced schistosomiasis cases were assessed using a Joinpoint regression model.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The endemic areas of schistosomiasis continued to shrink in Jiangsu Province from 2012 to 2024, with the number of schistosomiasis-eliminated counties (cities, districts) increasing from 53 (75.71%) to 63 (96.92%), and interruption of schistosomiasis transmission was achieved across the province. A total of 4 600 300 person-times were tested for serum antibodies against &lt;i&gt;S. japonicum&lt;/i&gt;, with 28 719 person-times positive detected; and 616 500 person-times were tested &lt;i&gt;S. japonicum&lt;/i&gt; infections among local residents in Jiangsu Province from 2012 to 2024, with only 3 egg-positives detected, and no egg-positives found since 2017. A total of 187 600 herd-times were tested for schistosomiasis in livestock, and no &lt;i&gt;S. japonicum&lt;/i&gt; infections were found. &lt;i&gt;O. hupensis&lt;/i&gt; snail survey was performed covering 1 018 408.97 hm&lt;sup&gt;2&lt;/sup&gt;, and a total of 35 556.35 hm&lt;sup&gt;2&lt;/sup&gt; was found with snail-infested habitats, including 174.40 hm2 of emerging snail-infested habitats. A total of 1 102 800 &lt;i&gt;O. hupensis&lt;/i&gt; snails were identified for &lt;i&gt;S. japonicum&lt;/i&gt; infections, and no infections were found. The areas of snail-infested habitats appeared a tendency towards a rise in Jiangsu Province from 2019 to 2023 (APC = 23.67%, &lt;i&gt;P&lt;/i&gt; &lt; 0.05), and the actual areas of snail-infested habitats appeared a tendency towards a decline from 2012 to 2015 (APC = -22.77%, &lt;i&gt;P&lt;/i&gt; &lt; 0.05), and towards a rise from 2015 to 2023 (APC = 9.76%, &lt;i&gt;P&lt;/i&gt; &lt; 0.01). The seroprevalence of anti-&lt;i&gt;S. japonicum&lt;/i&gt; antibodies appeared a tendency towards a decline among residents in Jiangsu Province from 2017 to 2023 (APC = -14.92%, &lt;i&gt;P&lt;/i&gt; &lt; 0.01). In addition, the number of newly diagnosed advanced schistosomiasis cases appeared a tendency towards a decline from 2012 to 2024 (APC = -12.02%, &lt;i&gt;P&lt;/i&gt; &lt; 0.01), and the numbers of advanced schistosomiasis patients requiring treatment showed a tendency towards a decline from 2012 to 2021 (APC = -10.56%, &lt;i&gt;P&lt;/i&gt; &lt; 0.01) and from 2021 to 2023 (APC = -20.06%, &lt;i&gt;P&lt;/i&gt; &lt; 0.01).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Great progresses had been achieved in sch","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"8-13"},"PeriodicalIF":0.0,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Dilemmas and challenges for parasitology teachers at shortage of clinicalmedical sciences knowledge background in medical colleges and universities].","authors":"S Han, Y Cheng, C Deng, Y Liu, Y Li","doi":"10.16250/j.32.1915.2024256","DOIUrl":"https://doi.org/10.16250/j.32.1915.2024256","url":null,"abstract":"<p><p>Medical parasitology, as a course bridging basic medical sciences and clinical medicine, has an important disciplinary value in the medical education system. This study investigated the composition of parasitology teachers from multiple medical colleges and universities across China. The results showed that there was a significant difference in the proportion of teachers with clinical medicine background knowledge, and there was common dilemma that there were insufficient clinical medicine knowledge reserves among teachers in some medical colleges and universities, who encountered severe teaching challenges. Based on this issue, this study constructed a basic-clinical medicine collaborative problem-based learning (PBL) teaching model. This model integrated theoretical teaching, case analyses, and experimental operations, and combined transdisciplinary team building and multidimensional teacher training, which significantly improved the clinical teaching capability among parasitology teachers, and effectively compensated the impact of insufficient clinical medicine knowledge reserves on teaching. Following teaching reform, students' scores significantly improved, and their case analysis capability enhanced. This study provides a practical path to address the shortage of clinical medicine background knowledge among parasitology teachers, which facilitates the progress of educational reform of medical parasitology and improvement of teaching quality.</p>","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"69-73"},"PeriodicalIF":0.0,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Transcriptomic responses of <i>Bulinus globosus</i> to extreme temperature and drought stress].","authors":"X Wang, D Peng, Y Yang, J Zhang, Z Qin, K Yang, S Li, J Xu","doi":"10.16250/j.32.1915.2025174","DOIUrl":"https://doi.org/10.16250/j.32.1915.2025174","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To examine the impact of extreme temperature and drought stress on the survival of &lt;i&gt;Bulinus globosus&lt;/i&gt;, so as to provide the theoretical evidence for the genomic research of &lt;i&gt;Bulinus&lt;/i&gt; in absence of reference genes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;&lt;i&gt;B. globosus&lt;/i&gt; snail samples were collected from Kiwani Shehia in Pemba Island, Zanzibar, Tanzania, and offspring snails were obtained through laboratory breeding and reproduction. A total of 120 10-week-old &lt;i&gt;B. globosus&lt;/i&gt; snails from the same generation were selected and randomly assigned into four groups, including the high-temperature drought (HD) group, normal temperature drought (D) group, low-temperature drought (LD) group, and the control (C) group, of 30 snails in each group. Snails in HD, D, and LD groups were placed in beakers containing dry soil at the bottom and subsequently housed in climate chambers at 35, 26 ℃, and 10 ℃, respectively, while snails in Group C were maintained in 500 mL petri dishes containing dechlorinated tap water at 26 ℃. Following 3 days of breeding, living snails in each group were collected, and soft tissues were dissected and isolated. Total RNA was extracted from snail soft tissues for library construction, followed by high-throughput sequencing on the Illumina HiSeq 4000 sequencing system. De novo transcriptome assembly was performed using the Trinity software, and the longest transcripts were selected as unigenes. Gene functional annotations of unigenes were conducted using the Diamond software against Gene Ontology (GO) knowledgebase, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, NCBI non-redundant (NR) protein sequences database, Protein Family (Pfam) database, and UniProtKB/Swiss-Prot (Swiss-Prot) knowledgebase. GO and KEGG enrichment analyses of differentially expressed genes (DEGs) were performed using the topGO and clusterProfiler software, respectively. In addition, four relevant genes were selected for validation using a real-time quantitative PCR (qRT-PCR) assay to verify the reliability of transcriptome sequencing results.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Following 3 days of breeding, there were 7, 20, 28, and 30 survival &lt;i&gt;B. globosus&lt;/i&gt; snails in HD, LD, D, and C groups, with corresponding survival rates of 23.33% (7/30), 66.67% (20/30), 93.33% (28/30), and 100.00% (30/30), respectively (χ&lt;sup&gt;2&lt;/sup&gt; = 52.72, &lt;i&gt;P&lt;/i&gt; &lt; 0.001). De novo transcriptome assembly generated 176 942 unigenes, with annotation rates of 0.98%, 13.49%, 26.46%, 12.48%, and 14.39% against GO knowledgebase, KEGG pathway database, NR protein sequences database, Pfam database, and Swiss-Prot knowledgebase, respectively. There were 33 up-regulated and 72 down-regulated genes in Group D, 483 up-regulated and 815 down-regulated genes in Group HD, and 245 up-regulated and 172 down-regulated genes in Group LD relative to in Group C. Following removal of overlapping genes across groups and unmatched genes, 11 candidate gene","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"29-37"},"PeriodicalIF":0.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Species of sandflies and prevalence of <i>Leishmania</i> infections in sandflies in selected areas of northern and northwestern China].","authors":"Y He, L Cui, Y Zhang, Y Li, L Yang, Y Fang, Z Li, Z Zhou","doi":"10.16250/j.32.1915.2025169","DOIUrl":"https://doi.org/10.16250/j.32.1915.2025169","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the species of sandflies and the prevalence of &lt;i&gt;Leishmania&lt;/i&gt; infections in sandflies from selected areas of northern and northwestern China, so as to provide insights into identification of leishmaniasis vectors and assessment of epidemiological trends of leishmaniasis in China.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Sandfly samples were collected from Mentougou District of Beijing Municipality, Xiangning County in Linfen City of Shanxi Province, Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, and Payzawat County of Karamay District of Karamay City, Gaochang District of Turpan City in Xinjiang Uygur Autonomous Region from July 2023 to July 2024. Approximately 100 intact female sandfly samples were randomly selected from each site and the species of sandflies was identified according to morphological characteristics and molecular assays. Female sandflies originating from the same habitat were grouped into pools of 10 individuals. &lt;i&gt;Leishmania&lt;/i&gt; infection was detected using polymerase chain reaction (PCR) assay targeting the internal transcribed spacer 1 (&lt;i&gt;ITS-1&lt;/i&gt;) gene, and the prevalence of &lt;i&gt;Leishmania&lt;/i&gt; infection was calculated in sandflies from different sampling sites using the minimum infection rate (MIR) method. In addition, positive amplicons were sequenced and subjected to phylogenetic analysis.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 6 155 sandflies were collected from different environments at sampling sites across the six aforementioned regions from July 2023 to July 2024. &lt;i&gt;Phlebotomus chinensis&lt;/i&gt; (96.00%) was the dominant sandfly species in Mentougou District, Beijing Municipality, with a small proportion of &lt;i&gt;Ph. sergenti&lt;/i&gt; (4.00%), and only &lt;i&gt;Ph. chinensis&lt;/i&gt; was found in Xiangning County, Linfen City, Shanxi Province. &lt;i&gt;Ph. wui&lt;/i&gt; was the only sandfly species detected in Ejin Banner, Alxa League, Inner Mongolia Autonomous Region, and Payzawat County, Kashgar City, Xinjiang Uygur Autonomous Region, and &lt;i&gt;Ph. caucasicus&lt;/i&gt; (97.70%) was the dominant sandfly species in Karamay District, Karamay City, Xinjiang Uygur Autonomous Region, with a small proportion of &lt;i&gt;Ph. wui&lt;/i&gt; (2.30%), while &lt;i&gt;Ph. alexandri&lt;/i&gt; was the only species in Gaochang District, Turpan City, Xinjiang Uygur Autonomous Region. A total of 40, 60, 34, 18, 18, and 22 pools of sandfly samples were tested from Mentougou District in Beijing Municipality, Xiangning County in Linfen City of Shanxi Province, Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, Payzawat County in Kashgar City, Karamay District in Karamay City, and Gaochang District in Turpan City of Xinjiang Uygur Autonomous Region, respectively. &lt;i&gt;L. infantum&lt;/i&gt; was detected in &lt;i&gt;Ph. chinensis&lt;/i&gt; samples from Mentougou District in Beijing Municipality, and Xiangning County of Linfen City in Shanxi Province, with MIR of 0.25% to 1.00%, and &lt;i&gt;L. donovani&lt;/i&gt; was detected in &lt;i&gt;Ph. wui&lt;/i&gt; from Ejin Banner in ","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"20-28"},"PeriodicalIF":0.0,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Strengths, weaknesses, opportunities and threats analysis of diagnosis-related group in schistosomiasis control].","authors":"L Xu, J Li","doi":"10.16250/j.32.1915.2025119","DOIUrl":"https://doi.org/10.16250/j.32.1915.2025119","url":null,"abstract":"<p><p>As a novel healthcare management tool, diagnosis-related group (DRG) plays a significant role in standardization of medical behaviors, reduction of medical costs, and improvements of the utilization efficiency of medical resources. This article analyzes internal and external factors pertaining to the application of DRG in schistosomiasis control through a strengths, weaknesses, opportunities and threats (SWOT) analysis and discusses potential impacts, challenges, and development opportunities. DRG has shown significant potential in optimizing resources, standardizing diagnosis and treatment, and reducing expenses; however, it also suffers from problems of a great difficulty in grouping and a low informatization level at grassroots institutions. Optimization of diagnosis-related grouping and increased investments into grassroots institutions are therefore required to meet the special needs of schistosomiasis control, so as to improve the effectiveness of schistosomiasis control.</p>","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"74-78"},"PeriodicalIF":0.0,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Factors affecting and identification of key environmental determinants of the <i>Oncomelania hupensis</i> snail density in the Yangtze River Delta based on machine learning models].","authors":"Y Li, Q Li, S Guo, S Li, L Zhang, C Cao, J Xu","doi":"10.16250/j.32.1915.2025252","DOIUrl":"https://doi.org/10.16250/j.32.1915.2025252","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To identify factors affecting and key environmental factors of the &lt;i&gt;Oncomelania hupensis&lt;/i&gt; snail density in the Yangtze River Delta region using machine learning methods.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;Administrative village-level &lt;i&gt;O. hupensis&lt;/i&gt; snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). &lt;i&gt;O. hupensis&lt;/i&gt; snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the &lt;i&gt;O. hupensis&lt;/i&gt; snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the &lt;i&gt;O. hupensis&lt;/i&gt; snail density, and the impact of each environmental factor on &lt;i&gt;O. hupensis&lt;/i&gt; snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the &lt;i&gt;O. hupensis&lt;/i&gt; snail population density were screened.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (&lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the &lt;i&gt;O. hupensis&lt;/i&gt; snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the &lt;i&gt;O. hupensis&lt;/i&gt; snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m&lt;sup&gt;2&lt;/sup&gt;). The &lt;i&gt;O. hupensis&lt;/i&gt; snail density increased with elevation if the elevation ranged from 1","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"14-19"},"PeriodicalIF":0.0,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Construction of an index system for assessment of schistosomiasis transmission risk following natural disasters].","authors":"J Shang, C Yu, Z Wu, X Meng, H Xu, C Wang, B Zheng, S Li, Y Liu","doi":"10.16250/j.32.1915.2025176","DOIUrl":"https://doi.org/10.16250/j.32.1915.2025176","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To construct an index system for assessment of schistosomiasis transmission risk following natural disasters such as rainstorms, floods, earthquakes, mudslides, and landslides, so as to provide insights into rapid identification of schistosomiasis transmission risk post-disasters and formulation of targeted schistosomiasis control strategies.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;An initial framework for the index system for assessment of schistosomiasis transmission risk following natural disasters was drafted through literature review, brainstorming, and focus group discussions. Two rounds of expert correspondence consultations were conducted using the Delphi method to refine and finalize the system, and the degrees of expert activeness, authority and endorse ment, and consensus were evaluated. In addition, the weights of each index were calculated using the analytic hierarchy process.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 18 experts participated in the consultation. The expert positive coefficients were 100.00% and 94.44% for two rounds of consultations, with authority coefficients of 0.92 and 0.94, respectively. The coefficients of coordination on the index importance, rationality and operability were 0.209, 0.185, 0.222 and 0.407, 0.214, 0.257 for two rounds of consultations, respectively, and all consistency tests were statistically significant (χ&lt;sup&gt;2&lt;/sup&gt; = 246.771 to 505.278, all &lt;i&gt;P&lt;/i&gt; values &lt; 0.001). Following two rounds of expert consultations, an index system consisting of 6 first-level indicators, 15 second-level indicators, and 49 third-level indicators was ultimately constructed. In terms of first-level indicators, \"disaster situation\", \"previous epidemics\", \"healthcare guarantee\", \"response capacity\" and \"emergency recovery\" had the highest weights, each at 18.18%. Regarding second-level indicators, \"&lt;i&gt;Schistosoma japonicum&lt;/i&gt; infections in animals\", \"&lt;i&gt;S. japonicum&lt;/i&gt; infections in snails\" and \"medical treatment\" had the highest weights, each at 7.35%. In terms of third-level indicators, ten items had the highest weights, including \"identification of schistosomiasis cases\", \"detection of &lt;i&gt;S. japonicum&lt;/i&gt; infections in wild feces\", \"detection of &lt;i&gt;S. japonicum&lt;/i&gt; infections in snails\", \"reserves of schistosomiasis diagnostic/testing reagents and consumables\", \"reserves of chemotherapy agents for human and animal schistosomiasis\", \"reserves of cercariacides\", \"periodical surveillance on schistosomiasis\", \"identification of schistosomiasis transmission risk and timely response\", \"normal provision of diagnosis and treatment services\" and \"post-disaster schistosomiasis surveillance\", each at 2.40%.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;A scientific, systematic, and practical index system has been constructed for assessment of schistosomiasis transmission risk following natural disasters, which may provide insights into rapid post-disaster identification of schistosomiasis transmission risk, f","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"60-68"},"PeriodicalIF":0.0,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Distribution of potential suitable habitats for <i>Haemaphysalis longicornis</i> in Nanjing City based on the maximum entropy model].","authors":"P Zhou, J Xia, L Sun, X Chen, B Song, S Zhang","doi":"10.16250/j.32.1915.2025115","DOIUrl":"https://doi.org/10.16250/j.32.1915.2025115","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To investigate the current distribution and predict the future suitable habitats of &lt;i&gt;Haemaphysalis longicornis&lt;/i&gt; in Nanjing City, so as to provide insights into control and early warning of ticks and management of tick-borne diseases in Nanjing City.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The electronic map of Nanjing City was obtained from the National Platform for Common GeoSpatial Information Services. The distribution of &lt;i&gt;H. longicornis&lt;/i&gt; and the longitude and latitude of distribution points from 2022 to 2024 were obtained from centers for disease control and prevention across each district in Nanjing City. Climatic and environmental variable data in Nanjing City were captured from the Worldclim database. Initially, 19 bioclimatic variables in this database were selected, including annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the warmest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, precipitation of the warmest quarter, and precipitation of the coldest quarter. The elevation and normalized difference vegetation index were obtained from Data Sharing Platform of the Center for Resources and Environmental Sciences, Chinese Academy of Sciences. Then, the distribution points of &lt;i&gt;H. longicornis&lt;/i&gt;, elevation, vegetation index and 19 bioclimatic variables were loaded into the software MaxEnt 3.4.4 to evaluate and screen out the variables with a contribution rate of 1% and higher. ArcGIS 10.8.1 software was used to extract the elevation, vegetation index and 19 bioclimatic variables of the distribution points of &lt;i&gt;H. longicornis&lt;/i&gt; for a correlation analysis. If the absolute value of the correlation coefficient was 0.8 and higher, the variable with the higher contribution was retained. The 2050 dataset of the BCCCSM2-MR atmospheric circulation model in the coupled model intercomparison project phase 6 (CMIP6) were obtained from the Worldclim database as climate data for 2050. Screened &lt;i&gt;H. longicornis&lt;/i&gt; species data and environmental and climate data were loaded into the maximum entropy (MaxEnt) model with the software MaxEnt 3.4.4 for training and validation, and then, all data generated from the model were imported into the software ArcGIS 10.8.1 to generate raster data and yield the map pertaining to the distribution of &lt;i&gt;H. longicornis&lt;/i&gt; risk in Nanjing City. The accuracy of the model was evaluated with a receiver operating characteristic (ROC) curve, and the predictive effect of the model was assessed with area under the ROC curve (AUC). The suitable habitats of","PeriodicalId":38874,"journal":{"name":"中国血吸虫病防治杂志","volume":"38 1","pages":"44-53"},"PeriodicalIF":0.0,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147784285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}