Objective:To construct a risk assessment system for measles transmission in Henan Province and scientifically evaluate the risk levels of measles transmission in each city in Henan Province.Methods:The modified Delphi method was used to conduct two rounds of expert consultations to construct a risk assessment system for measles transmission. Data from all 191 cities, counties and districts in Henan Province were collected. The internal consistency (Cronbach′s α), content validity (content validity index, CVI) and structural validity (factor analysis) of the indicator system were evaluated to optimize the assessment framework. The indicator assignment method was adopted, and the comprehensive risk scores were obtained by adding the scores according to different weights. Results:Both rounds of consultation witnessed a 100% participation rate among all experts. The authority coefficients of experts in the two rounds were 0.920 and 0.925, and concordance coefficients were 0.201 ( χ 2=161.11, P<0.001) and 0.210 ( χ 2=163.80, P<0.001). The constructed assessment system comprised four dimensions—population immunity levels, surveillance quality, importation risk, and technical reserve of emergency response capacities—with a total of 30 indicators. Reliability analysis of the assessment system showed an overall Cronbach′s α of 0.741. Validity analysis revealed that all content validity indices reached 1.000, with principal factors cumulatively accounting for 67.625% of the variance, and all factor loadings exceeded 0.400. The measles transmission risk assessment in Henan Province using this assessment system identified Zhengzhou (92), Xinxiang (91), Xinyang (89), and Pingdingshan (73) as high-risk regions. Conclusion:The risk assessment system developed in this study demonstrates good reliability and validity, effectively reflecting measles transmission risks across Henan Province. The findings highlight the need to strengthen surveillance and control measures in high-risk areas, particularly in Zhengzhou.

Objective:To construct a risk assessment system for measles transmission in Henan Province and scientifically evaluate the risk levels of measles transmission in each city in Henan Province.Methods:The modified Delphi method was used to conduct two rounds of expert consultations to construct a risk assessment system for measles transmission. Data from all 191 cities, counties and districts in Henan Province were collected. The internal consistency (Cronbach′s α), content validity (content validity index, CVI) and structural validity (factor analysis) of the indicator system were evaluated to optimize the assessment framework. The indicator assignment method was adopted, and the comprehensive risk scores were obtained by adding the scores according to different weights. Results:Both rounds of consultation witnessed a 100% participation rate among all experts. The authority coefficients of experts in the two rounds were 0.920 and 0.925, and concordance coefficients were 0.201 ( χ 2=161.11, P<0.001) and 0.210 ( χ 2=163.80, P<0.001). The constructed assessment system comprised four dimensions—population immunity levels, surveillance quality, importation risk, and technical reserve of emergency response capacities—with a total of 30 indicators. Reliability analysis of the assessment system showed an overall Cronbach′s α of 0.741. Validity analysis revealed that all content validity indices reached 1.000, with principal factors cumulatively accounting for 67.625% of the variance, and all factor loadings exceeded 0.400. The measles transmission risk assessment in Henan Province using this assessment system identified Zhengzhou (92), Xinxiang (91), Xinyang (89), and Pingdingshan (73) as high-risk regions. Conclusion:The risk assessment system developed in this study demonstrates good reliability and validity, effectively reflecting measles transmission risks across Henan Province. The findings highlight the need to strengthen surveillance and control measures in high-risk areas, particularly in Zhengzhou.

Acetylcholine (ACh) is an important neuromodulator in various cognitive functions. However, it is unclear how ACh influences neural circuit dynamics by altering cellular properties. Here, we investigated how ACh influences reverberatory activity in cultured neuronal networks. We found that ACh suppressed the occurrence of evoked reverberation at low to moderate doses, but to a much lesser extent at high doses. Moreover, high doses of ACh caused a longer duration of evoked reverberation, and a higher occurrence of spontaneous activity. With whole-cell recording from single neurons, we found that ACh inhibited excitatory postsynaptic currents (EPSCs) while elevating neuronal firing in a dose-dependent manner. Furthermore, all ACh-induced cellular and network changes were blocked by muscarinic, but not nicotinic receptor antagonists. With computational modeling, we found that simulated changes in EPSCs and the excitability of single cells mimicking the effects of ACh indeed modulated the evoked network reverberation similar to experimental observations. Thus, ACh modulates network dynamics in a biphasic fashion, probably by inhibiting excitatory synaptic transmission and facilitating neuronal excitability through muscarinic signaling pathways.
Cholinergic Agents/pharmacology* ; Acetylcholine/metabolism* ; Neurons/metabolism* ; Synaptic Transmission/physiology*

Objective:To compare the performance of four ELISA kits for detecting measles virus IgG antibody and to provide support for sero-epidemiologic survey.Methods:A total of 176 specimens were tested by four ELISA kits, respectively. The result of 4 kits were analyzed by the McNemar’s test. The values such as Kappa value, CV value, sensitivity, specificity, positive predictive value and negative predictive values were calculated and compared.Results:There was no significant difference among the result from kits and references, the χ2 were 0.333, 2.000, 1.000 and 0 respectively. The Kappa value of kit C was the highest (0.976), the sensitivity of kit A, C and D were the highest (99.34%), the specificity of kit B and C were the highest (100%), the positive predictive value of kit B and C were the highest (100%) and the negative predictive value of kit C were the highest (96.00%), there was no significant difference among the indicators from 4 kits ( P >0.05). The CV value of kit D was the lowest (5.30%). The correlation coefficient between the result from kit C and D was 0.639 ( P<0.01). Conclusions:The result showed that the 4 kits were suitable for serum epidemiologic survey.