Background: Eradication of infectious disease is the sanctified public health and sustainable development goal around the world.
Main Body: Three antimalarial barriers were developed to control imported malarial cases, and an effective surveillance strategy known as the "1-3-7 approach" was developed to eliminate malaria from the Chinese population. From 2011 to 2019, 5254 confirmed malaria cases were reported and treated in Yunnan Province, China. Among them, 4566 cases were imported from other countries, and 688 cases were indigenous from 2011 to 2016. Since 2017, no new local malarial case has been reported in China. Thus, malaria has been completely eliminated in Yunnan Province. However, malaria is detected in overseas travellers on a regular basis, such as visitors from neighbouring Myanmar.
Conclusion: Hence, the strategies should be further strengthened to maintain a robust public health infrastructure for disease surveillance and vector control programs in border areas. Such programs should be supported technically and financially by the government to avert the possibility of a malarial resurgence in Yunnan Province.
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http://dx.doi.org/10.1186/s40249-021-00866-9 | DOI Listing |
NPJ Vaccines
January 2025
Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical college, Kunming, China.
The emergence of SARS-CoV-2 variants with defined mutations that enhance pathogenicity or facilitate immune evasion has resulted in a continual decline in the protective efficacy of existing vaccines. Therefore, there is a pressing need for a vaccine capable of combating future variants. In this study, we designed new mRNA vaccines, BSCoV05 and BSCoV06, and generated point mutations in the receptor-binding domain (RBD) of the original Wuhan strain to increase their broad-spectrum antiviral activity.
View Article and Find Full Text PDFBehav Processes
January 2025
Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou 571158, China. Electronic address:
Tourism, as an important manifestation of urbanization, is becoming increasingly popular. Although it offers numerous advantages for the local community, it also exerts a multifaceted impact on local wildlife. Previous research on the effects of tourism has mainly focused on protected areas or tourist spots, rarely considering the surrounding non-tourist attraction areas.
View Article and Find Full Text PDFPostgrad Med
January 2025
Department of Gastrointestinal Surgery, Second Affiliated Hospital of Kunming Medical University, kunming, China.
Objectives: The aim of this study was to systematically assess the quality of different guidelines for the management of patients with hyperthyroidism and to explore and analyze the recommendations and key evidence in different guidelines.
Methods: A systematic search of databases and websites was conducted to identify treatment guidelines for hyperthyroidism. The quality of the included guidelines was assessed using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool.
Hematology
December 2025
The Basic Medical Laboratory of the 920th Hospital of Joint Logistics Support Force of PLA, The Transfer Medicine Key Laboratory of Cell Therapy Technology of Yunan Province, The Integrated Engineering Laboratory of Cell Biological Medicine of State and Regions, Kunming, Yunnan Province, People's Republic of China.
To investigate the role of ALKBH3 in acute myeloid leukemia (AML), we constructed an animal model of xenotransplantation of AML. Our study demonstrated that ALKBH3-mediated m1A demethylation inhibits ferroptosis in KG-1 cells by increasing ATF4 expression, thus promoting the development of AML. These findings suggest that reducing ALKBH3 expression may be a potential strategy to mitigate AML progression.
View Article and Find Full Text PDFRespiratory diseases pose a significant global health burden, with challenges in early and accurate diagnosis due to overlapping clinical symptoms, which often leads to misdiagnosis or delayed treatment. To address this issue, we developed , an artificial intelligence (AI)-based diagnostic system that utilizes natural language processing (NLP) to extract key clinical features from electronic health records (EHRs) for the accurate classification of respiratory diseases. This study employed a large cohort of 31,267 EHRs from multiple centers for model training and internal testing.
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