[Correlation analysis on meteorological factors regarding the incidence of hand, foot and mouth disease in Xinjiang Uygur Autonomous Region, 2011-2018].

Objective: To study the correlation between meteorological factors and the incidence of hand, foot and mouth disease (HFMD) in Xinjiang Uygur Autonomous Region (Xinjiang) so as to provide scientific evidence for the early warning, prediction, prevention and control of HFMD. Methods: Data on HFMD surveillance and related population was collected from the China Information System for Disease Control and Prevention from 2011 to 2018. Meteorological data was obtained from http://www.tianqihoubao.com. Correlation analysis on meteorological factors and the incidence of HFMD in Xinjiang was conducted, using the Excel 2007, SPSS 17.0, and Spatial Distribution Map by ArcGIS 10.2 software. Results: HFMD usually occurred between April and July. Numbers of patients reached the top in May and June. Temperature was positively correlated with the incidence of HFMD (r=0.370, P<0.01) while precipitation was positively correlated with the incidence of HFMD (r=0.747, P<0.01). The temperature threshold appeared as 5 ℃-35 ℃ for the incidence of HFMD. Interval period was one month between the peak of both the incidence of HFMD and the precipitation. A power function relationship (y=0.009 4x(2.332 9), R(2)=0.898 9) was noticed between the precipitation and the incidence of HFMD. Conclusions: The incidence of HFMD was closely related to the meteorological factors including temperature and precipitation in Xinjiang during 2011-2018. Our findings have provided evidence for the development of early warning system on HFMD in Xinjiang.

Microvascular permeability of rat cerebral pia mater by using image computer analysis.

UNLABELLED: Microcirculation viviperception and fluorescent tracer techniques were used and digital image analysis applied for quantitative measurement of fluorescein sodium (FiNa) permeability in microvessels of the cerebral pia mater. The diffusion permeation equations of FiNa within the blood vessels and through the vessel walls into the perivascular tissue of normal rats and ischemic rats were established with two vessels as study object, thus the permeation speed equations under different ischemic conditions were deduced. Based on analysis of the results, we deduced the relation between the permeability and the intersection angle of two vessels. RESULT: logarithm model showed a good fit of the experiment data. The permeation equation showed logarithmic distribution and then tended towards stability. FiNa could pass through microvessel walls with the highest speed in the one-hour ischemic rat group, and the permeation speed of FiNa in rats receiving reperfusion after twelve hours of ischemia was much faster than that in normal rats. CONCLUSION: the method can be useful for quantitative analysis of cerebral pia mater microvascular permeability