The Experts below are selected from a list of 33939 Experts worldwide ranked by ideXlab platform
Genyun Yang - One of the best experts on this subject based on the ideXlab platform.
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Empirical relationships for the estimation of debris flow runout distances on depositional fans in the Wenchuan Earthquake Zone
Journal of Hydrology, 2019Co-Authors: Wei Zhou, Jiaoyong Fang, Chuan Tang, Genyun YangAbstract:Abstract The Wenchuan area has become highly susceptible to landslides and debris flows since the Earthquake occurred on 2008. A detailed debris flow hazard assessment is necessary to provide information for future risk management. Debris flow runout on a depositional fan is an important factor for assessing debris flow hazard, and its estimate becomes essential for the planning of the mitigation works that must be built. We therefore developed two simple empirical relationships based both on univariate and multivariate approaches, which provide the runout distance using the data for 134 channelized debris flow events in 134 catchments in the Wenchuan Earthquake Zone. We generated a correlation matrix of the debris flow runout distances and the relevant variables. Because of the high correlations, the independent variable debris flow volume ( V D ) was selected for the univariate approach. Using a multicollinearity analysis and a stepwise regression technique, the catchment (basin) internal relief ( H ), and V D were used to develop a multivariate runout relationship. The coefficients of the variables were obtained using 80% of the dataset (training dataset); the remaining 20% was used for test of estimated performance by comparing the computed runout distances with observed values. The validation demonstrated that the proposed relationships are suitable for estimating the runout distances of debris flows on depositional fans in the Wenchuan Earthquake Zone. The univariate runout relationship has the advantage of being simple, whereas the multivariate runout relationship provides higher accuracy. Additionally we rearranged and reformulated existing relationships using the same training dataset and compared the results with those from the relationships here proposed. The estimations provided by our relationships were the closest to the observed values. The presented approaches may be applied to estimate debris flow runout distances in other areas after they are retrained using local datasets.
Yan Guo - One of the best experts on this subject based on the ideXlab platform.
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Design and application of the emergency response mobile phone-based information system for infectious disease reporting in the Wenchuan Earthquake Zone.
Journal of evidence-based medicine, 2009Co-Authors: Maigeng Zhou, Yan GuoAbstract:Objective To describe the design and application of an emergency response mobile phone-based information system for infectious disease reporting. Methods Software engineering and business modeling were used to design and develop the emergency response mobile phone-based information system for infectious disease reporting. Results Seven days after the initiation of the reporting system, the reporting rate in the Earthquake Zone reached the level of the same period in 2007, using the mobile phone-based information system. Surveillance of the weekly report on morbidity in the Earthquake Zone after the initiation of the mobile phone reporting system showed the same trend as the previous three years. Conclusion The emergency response mobile phone-based information system for infectious disease reporting was an effective solution to transmit urgently needed reports and manage communicable disease surveillance information. This assured the consistency of disease surveillance and facilitated sensitive, accurate, and timely disease surveillance. It is an important backup for the internet-based direct reporting system for communicable disease.
Elena Righi - One of the best experts on this subject based on the ideXlab platform.
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Post-traumatic stress disorder, emotional and behavioral difficulties in children and adolescents 2 years after the 2012 Earthquake in Italy: an epidemiological cross-sectional study
European child & adolescent psychiatry, 2019Co-Authors: Barbara Forresi, Francesco Soncini, Emanuele Bottosso, E Di Pietro, G Scarpini, Simona Scaini, Gabriella Aggazzotti, Ernesto Caffo, Elena RighiAbstract:Despite the occurrence of several Earthquakes, only a few studies were conducted in Italy on the psychological impact in children and adolescents, with data mostly collected within one year after the disaster. This cross-sectional study aimed at exploring the prevalence of both post-traumatic stress disorder (PTSD) and emotional/behavioral difficulties, as well as at identifying their main predictors, among youths 2 years after the Earthquake that hit Northern Italy in 2012. 682 children and adolescents (9–14 years) living in two districts (Earthquake Zone vs control Zone) were administered an exposure questionnaire, the UCLA PTSD-Index for DSM-IV, and the Strengths and Difficulties Questionnaire (SDQ) and 1162 parents were assessed through the Symptom Checklist-90 (SCL-90). The prevalence of a likely PTSD in the Earthquake Zone was 1.9% (4.4% near the epicenter) and the total PTSD score in the affected area was significantly higher than in the control Zone. 14.9% of youths living in the Earthquake Zone had a borderline/abnormal SDQ total difficulties score and 87.5% of youth with a likely PTSD also had a SDQ total score in the borderline/abnormal range. Regression analysis showed that the number of lifetime traumatic events (e.g., death of a relative) was the best predictor of children/adolescents psychological difficulties 2 years after the Earthquake, followed by severity of exposure (personal injuries and losses) and parental psychopathology. Despite some limitations, this study highlights that youths may exhibit PTSD symptoms years after disasters, often in comorbidity with behavioral/emotional difficulties, stressing the need for long-term surveillance and interventions in exposed populations.
Ma Jia-qi - One of the best experts on this subject based on the ideXlab platform.
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Application Effect of Emergency Response Mobile Phone-based Information System for Infectious Disease Reporting in the Wenchuan Earthquake Zone
Practical Preventive Medicine, 2010Co-Authors: Ma Jia-qiAbstract:Objective To review the function and outcome of the mobile phone-based infectious diseases reporting system applied during the emergency response to Wenchuan Earthquake in 18 counties of Sichuan Province. Methods Data were collected from the national internet-based direct reporting system for infectious diseases.Time series comparison and regression approach were applied to analyze and assess the recovery of the organization,the comparison of infectious diseases trend,and the stability of results after application of the mobile phone-based infectious diseases reporting system. Results Two weeks after applying the mobile phone-based infectious diseases reporting system,the infectious diseases reporting rate in the Earthquake Zone reached the level of the same period in 2007.Surveillance of the weekly report on morbidity in the Earthquake Zone after the initiation of the mobile phone reporting system in 2008 showed the same trend as the previous three years.There were 2,287 cases of infectious diarrhea and 18,677 cases of watery stool reported by the syndrome surveillance system.There was a linear correlation between syndrome surveillance data and infectious diseases data.There were 20 cases of hepatitis A reported by the system,and the outbreaks of hepatitis A were timely detected. Conclusions It was an effective way to apply mobile phone-based infectious diseases reporting system to substitute for the internet-based reporting system under emergent circumstance.The mobile phone-based reporting system assured the consistency of the infectious disease surveillance and significantly facilitated the efficiency of the epidemic response.It provided a technical support for epidemic prevention and prediction under emergent circumstance.
Wei Zhou - One of the best experts on this subject based on the ideXlab platform.
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Empirical relationships for the estimation of debris flow runout distances on depositional fans in the Wenchuan Earthquake Zone
Journal of Hydrology, 2019Co-Authors: Wei Zhou, Jiaoyong Fang, Chuan Tang, Genyun YangAbstract:Abstract The Wenchuan area has become highly susceptible to landslides and debris flows since the Earthquake occurred on 2008. A detailed debris flow hazard assessment is necessary to provide information for future risk management. Debris flow runout on a depositional fan is an important factor for assessing debris flow hazard, and its estimate becomes essential for the planning of the mitigation works that must be built. We therefore developed two simple empirical relationships based both on univariate and multivariate approaches, which provide the runout distance using the data for 134 channelized debris flow events in 134 catchments in the Wenchuan Earthquake Zone. We generated a correlation matrix of the debris flow runout distances and the relevant variables. Because of the high correlations, the independent variable debris flow volume ( V D ) was selected for the univariate approach. Using a multicollinearity analysis and a stepwise regression technique, the catchment (basin) internal relief ( H ), and V D were used to develop a multivariate runout relationship. The coefficients of the variables were obtained using 80% of the dataset (training dataset); the remaining 20% was used for test of estimated performance by comparing the computed runout distances with observed values. The validation demonstrated that the proposed relationships are suitable for estimating the runout distances of debris flows on depositional fans in the Wenchuan Earthquake Zone. The univariate runout relationship has the advantage of being simple, whereas the multivariate runout relationship provides higher accuracy. Additionally we rearranged and reformulated existing relationships using the same training dataset and compared the results with those from the relationships here proposed. The estimations provided by our relationships were the closest to the observed values. The presented approaches may be applied to estimate debris flow runout distances in other areas after they are retrained using local datasets.