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Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large-scale pollution incidents take lives and incur major health problems. The majority of large-scale disasters affect the most vulnerable populations, which often comprise extreme ages, remote living areas, and endemic poverty, as well as people with low literacy. Health emergency and disaster risk management (Health-EDRM) refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, responses, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, the timely deployment of relief workers, and the provision of suitable drugs and medical equipment to decrease the impact of disasters on people before, during, and after an event (or events). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction worldwide.

Public health & preventive medicine --- infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities --- infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities

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The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed. This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.

Information technology industries --- cold-roll forming --- longitudinal strain --- cubic spline function --- cumulative chord --- elastic–plastic problem --- complex variable meshless method --- interpolating shape function --- singular weight function --- complete basis function --- mathematical model --- leased price --- total leased area --- data analysis --- residential land --- Beijing --- meshless method --- dimension splitting–interpolating moving least squares (DS-IMLS) method --- improved interpolating element-free Galerkin (IEFG) method --- potential problem --- traffic flow --- two-dimensional lattice hydrodynamic model --- driver’s predictive effect --- finite element method --- alkali-activated slag ceramsite compound insulation block --- ANSYS CFX --- thermal and mechanical performances --- indoor thermal environment --- dimension splitting method --- dimension splitting generalized interpolating element-free Galerkin method --- convection–diffusion–reaction problem --- deep learning --- hydrogel network --- mechanical property --- convolutional neural network --- self-avoiding walk --- personnel health monitoring --- construction site management --- smart helmet --- infrared temperature measurement --- temperature error compensation --- BP neural network --- COVID-19 --- peridynamics --- dual-horizon --- crack propagation --- variable horizon --- multi-grid --- car-following model --- visual angle model --- electronic throttle angle --- stability analysis --- heavy haul --- railway tunnel --- basement structure --- dynamic response characteristics --- defects --- the lattice hydrodynamic model --- control signal --- strong wind --- optimal estimation of flux difference integral --- improved element-free Galerkin method --- Helmholtz equation --- penalty method --- improved moving least-squares approximation --- n/a --- elastic-plastic problem --- dimension splitting-interpolating moving least squares (DS-IMLS) method --- driver's predictive effect --- convection-diffusion-reaction problem

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• Reference Manager
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Disasters such as earthquakes, cyclones, floods, heat waves, nuclear accidents, and large-scale pollution incidents take lives and incur major health problems. The majority of large-scale disasters affect the most vulnerable populations, which often comprise extreme ages, remote living areas, and endemic poverty, as well as people with low literacy. Health emergency and disaster risk management (Health-EDRM) refers to the systematic analysis and management of health risks surrounding emergencies and disasters, and plays an important role in reducing the hazards and vulnerability along with extending preparedness, responses, and recovery measures. This concept encompasses risk analyses and interventions, such as accessible early warning systems, the timely deployment of relief workers, and the provision of suitable drugs and medical equipment to decrease the impact of disasters on people before, during, and after an event (or events). Currently, there is a major gap in the scientific literature regarding Health-EDRM to facilitate major global policies and initiatives for disaster risk reduction worldwide.

infection spread and control --- infection risk --- human behavior --- close contact --- sensor-based --- indoor environment --- indoor positioning --- head and body motion --- open-plan office --- disaster --- psychosocial impacts --- community resilience --- Kumamoto earthquake --- DMHISS --- disaster psychiatry --- Japan --- acute mental health needs --- duration of activity --- DPAT (Disaster Psychiatric Assistance Team) --- cold --- personal health protective behaviour --- associated factors --- risk perception --- subtropical city --- disaster responders --- support --- psychosocial --- risk management --- COVID-19 --- urban --- health risks --- Health-Emergency and Disaster Risk Management --- biological hazard --- pandemic --- PHEIC --- Hong Kong --- Fukushima nuclear accident --- mass media --- Internet --- public health practice --- community mental health services --- typhoon --- hurricane --- cyclone --- strong wind levels --- natural disaster --- Health-EDRM --- risk-taking behaviour --- sensation seeking --- landslide displacement --- predictive uncertainty --- ensemble prediction --- probability combination scheme --- quantile regression neural networks (QRNNs) --- kernel density estimation (KDE) --- Daegu --- sense of belonging --- pride --- mental health --- disaster relief fund --- non-communicable disease --- self-care --- NCD management --- home care --- early phase of pandemic --- health-EDRM --- primary prevention --- vector-borne disease --- biological hazards --- climate change --- narrative review --- Asia Pacific --- Health EDRM --- long-term impact --- public health --- case study --- disaster management --- multi-case analysis --- Europe --- flood --- elderly --- cardiovascular diseases --- cerebrovascular diseases --- H-EDRM --- extreme temperature --- socioeconomic vulnerability --- health disparities --- n/a