MOESM4 of Effect of rodent density on tick and tick-borne pathogen populations: consequences for infectious disease risk
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Additional file 4: Table S1. Daily temperature data from September 2012 to December 2015 collected from the nearest weather station (Deelen, KNMI, the Netherlands). Text S1. Primers and probes for detection of B. microti and S. ixodetis, and qPCR protocol. Table S2. Density of nymphs and number of analyzed nymphs for microorganisms per treatment, month and year. Table S3. Density of rodents and number of analyzed individuals for microorganisms per rodent species, treatment, month and year. Table S4. Prevalences of tick-borne microorganisms in rodents and nymphs. Table S5. All tested models for prediction of density of nymphs (DON), nymphal infection prevalence (NIP), and density of infected nymphs (DIN). Table S6. Full equations for the best fitting models for prediction of density of nymphs (DON), nymphal infection prevalence (NIP), and density of infected nymphs (DIN).
补充材料4:附表S1。2012年9月至2015年12月的逐日气温数据,采集自荷兰皇家气象研究所(KNMI)位于代尔芬(Deelen)的邻近气象站。补充文本S1:用于检测微小巴贝虫(B. microti)和S. ixodetis的引物与探针,以及实时荧光定量PCR(qPCR)实验方案。附表S2:不同处理组、月份及年份下的蜱若虫密度,以及用于微生物检测的蜱若虫样本分析数量。附表S3:不同啮齿动物物种、处理组、月份及年份下的啮齿动物密度,以及用于微生物检测的啮齿动物个体样本分析数量。附表S4:啮齿动物与蜱若虫中蜱传微生物的感染率。附表S5:用于预测蜱若虫密度(Density of Nymphs, DON)、若虫感染率(Nymphal Infection Prevalence, NIP)以及感染蜱若虫密度(Density of Infected Nymphs, DIN)的全部待测模型。附表S6:用于预测蜱若虫密度(Density of Nymphs, DON)、若虫感染率(Nymphal Infection Prevalence, NIP)以及感染蜱若虫密度(Density of Infected Nymphs, DIN)的最优拟合模型完整方程式。
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figshare
创建时间:
2020-01-21



