2020年10期
刊物介紹
BES主要刊登我國和其他國家在生物醫(yī)學(xué)和環(huán)境科學(xué)領(lǐng)域中的研究論文,內(nèi)容包括:衛(wèi)生學(xué)、病毒學(xué)、流行病學(xué)、寄生蟲病學(xué)、營養(yǎng)學(xué)、毒理學(xué)、藥理學(xué)、環(huán)境與健康、微生物學(xué)、化學(xué)、有害物質(zhì)(包括環(huán)境污染物、食品添加劑、農(nóng)藥、工業(yè)化學(xué)物質(zhì)等)對各種生物的作用和毒理研究以及這一領(lǐng)域中應(yīng)用的藥理學(xué)、生物化學(xué)、病理學(xué)、免疫學(xué)和分析化學(xué)等方法的研究。另外,本刊還登有關(guān)天然污染物和合成污染物在生物圈中的分布和轉(zhuǎn)歸等方面的研究及其對人體健康影響的研究成果和實驗經(jīng)驗的研究,此外還報道公共衛(wèi)生方面的研究。
Biomedical and Environmental Sciences
- Assessment on the Effects of Hepatitis B Prevention and Control Measures in Western China: A Comparison of Three Population-based Serosurveys*
- Calculating the Number of Pregnant Women Receiving Standardized Services for PMTCT of HlV in Liangshan Prefecture, Based on the Equivalent Method*
- Serum Metabolomic lndicates Potential Biomarkers and Metabolic Pathways of Pediatric Kashin-Beck Disease*
- Efficacy of Essential Trace Elements Supplementation on Mineral Composition, Sperm Characteristics, Antioxidant Status, and Genotoxicity in Testis of Tebuconazole-treated Rats*
- Environmental Monitoring of A Laboratory for New Coronavirus Nucleic Acid Testing*
- Factors Affected HlV Testing and HlV lnfection among lnternetbased Self-testing MSM Who Never Tested for HlV in Beijing,China*
- Prevalence of Tuberculosis among Close Contacts of lndex Cases in 27 Universities in Beijing, China, 2017–2018*
- Multidimensional Analysis of Risk Factors Associated with Breast Cancer in Beijing, China: A Case-Control Study*
- Recent Transmission Analysis of 66 MDR-TB Strains Using the 15-locus MlRU-VNTR Method*
- A Pilot Test for A One-year Cognitive Training Intervention in Elderly Adults with Mild Cognitive Impairment
- Antineoplastic Drug Handling: Higher Risk for Healthcare Workers in Tunisia than in France?
- Concentration of Selected Elements in the Tissues of the Knee Joint*
- Safflower Yellow Compounds Alleviate Okadaic Acid-lnduced lmpairment of Neurite Outgrowth in Differentiated SH-SY5Y Cells*
- Application Research on Gated Recurrent Unit Deep Learning Prediction and Graded Early Warning of Emergency Department Visits Based on Meteorological Environmental Data*