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Epidemiology is a discipline intended to systematically investigate, and ideally quantify, disease dynamics in populations (Perez, 2015). Epidemiological assessmentsmay be divided into four large areas, namely, (a) identification and characterization of a pathogen, (b) development of systems for detection of cases, (c) descriptive epidemiology and quantification of disease patterns, and (d) advanced analytical methods to design intervention strategies. Briefly, there is an initial need for understanding the pathogeny of a disease and condition, which may also include experimental studies and development of new models of infection and proliferation under different conditions. Subsequently, such knowledgemay be applied to support the identification of cases, which typically includes the design, evaluation, and validation of diagnostic tests. Diseasemay then be quantified in a population, leading to the identification of patterns and application of molecular characterization techniques to understand disease spread, and ultimately to identify factors preventing or promoting disease. Finally, those factors may be incorporated into advanced quantitative methods and epidemiological models, which are used to design and evaluate strategies aimed at preventing, controlling, or eliminating disease in the population. Recent years have seen a dramatic increase in the application of science, technology, engineering, and mathematical (STEM) tools and approaches intended to enhance such analytical epidemiology process, with the ultimate goal of supporting disease prevention, control, and eradication. This eBook comprises a series of research articles that, through current state-of-the-art scientific knowledge on the application of STEM tools to the microbiology of infectious diseases, demonstrate their usefulness at the various components of an integral epidemiological approach, divided into the four large components of (a) experimental studies, (b) novel diagnostic techniques, (c) epidemiological characterization, and (d) population modeling and intervention.

modeling --- Quantitative Methods --- diagnosis --- Epidemiology --- stem --- Pathogen Detection --- modeling --- Quantitative Methods --- diagnosis --- Epidemiology --- stem --- Pathogen Detection

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Epidemiology is a discipline intended to systematically investigate, and ideally quantify, disease dynamics in populations (Perez, 2015). Epidemiological assessmentsmay be divided into four large areas, namely, (a) identification and characterization of a pathogen, (b) development of systems for detection of cases, (c) descriptive epidemiology and quantification of disease patterns, and (d) advanced analytical methods to design intervention strategies. Briefly, there is an initial need for understanding the pathogeny of a disease and condition, which may also include experimental studies and development of new models of infection and proliferation under different conditions. Subsequently, such knowledgemay be applied to support the identification of cases, which typically includes the design, evaluation, and validation of diagnostic tests. Diseasemay then be quantified in a population, leading to the identification of patterns and application of molecular characterization techniques to understand disease spread, and ultimately to identify factors preventing or promoting disease. Finally, those factors may be incorporated into advanced quantitative methods and epidemiological models, which are used to design and evaluate strategies aimed at preventing, controlling, or eliminating disease in the population. Recent years have seen a dramatic increase in the application of science, technology, engineering, and mathematical (STEM) tools and approaches intended to enhance such analytical epidemiology process, with the ultimate goal of supporting disease prevention, control, and eradication. This eBook comprises a series of research articles that, through current state-of-the-art scientific knowledge on the application of STEM tools to the microbiology of infectious diseases, demonstrate their usefulness at the various components of an integral epidemiological approach, divided into the four large components of (a) experimental studies, (b) novel diagnostic techniques, (c) epidemiological characterization, and (d) population modeling and intervention.

modeling --- Quantitative Methods --- diagnosis --- Epidemiology --- stem --- Pathogen Detection

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Optics and photonics are among the key technologies of the 21st century, and offer potential for novel applications in areas such as sensing and spectroscopy, analytics, monitoring, biomedical imaging/diagnostics, and optical communication technology. The high degree of control over light fields, together with the capabilities of modern processing and integration technology, enables new optical measurement systems with enhanced functionality and sensitivity. They are attractive for a range of applications that were previously inaccessible. This Special Issue aims to provide an overview of some of the most advanced application areas in optics and photonics and indicate the broad potential for the future.

Technology: general issues --- optical --- electric-field --- sensor --- measurement --- transient voltage --- AC power grid --- Pockels effect --- dermatoscopy --- skin screening --- biomedical imaging --- fiber optic sensor --- Sagnac loop --- intensity-modulated --- DWDM --- strain sensor --- structural health monitoring (SHM) --- functionalized carbon structure (FCS) --- carbon reinforced concrete (CRC) --- fiber optic sensor (FOS) --- optical glass fiber --- wavefront sensor --- spatial light modulator --- contour-sum method --- topological charge --- orbital angular momentum --- optical coherence tomography --- Monte Carlo simulation --- structural imaging --- functional sensing --- optical scatterometry --- inverse problem --- profile reconstruction --- dependence analysis --- data refinement --- electro-optic dual-comb interferometry --- laser Doppler velocimetry --- Traceability --- sub-nanosecond laser --- high peak power --- Nd:YVO4 --- stimulated Raman scattering (SRS) --- thermal fracture --- wireless NoC (WiNoC) --- graphene based WiNoCs (GWiNoCs) --- wireless nanosensor networks (WNSNs) --- surface plasmon polariton (SPP) --- GFET --- multiple-input-multiple-output (MIMO) --- graphennas --- THz transceiver --- Mode Division Multiplexing (MDM) --- Few-Mode Fiber (FMF) --- principle mode groups (PMG) --- Bragg grating (BG) --- multi-mode fiber bragg grating --- multi-parameter sensing --- DAS --- fiber optic sensing --- train tracking --- pattern recognition --- hybrid lens --- optical wireless communications --- Li-Fi --- freeform lens --- optic design --- rotary interfaces --- rotary joint --- wireless rotary electrical interface --- rotating electrical connectors --- full-duplex data transfer --- Gigabit-Ethernet --- industrial communications --- real-time --- pathogen detection --- microfluidics --- image processing --- computational algorithms --- integrated optics and photonics --- integrated polymer optics --- organic laser --- integration --- polymeric waveguide --- Lab-on-a-Chip --- fiber optical sensing --- biosensing --- optofluidics --- integrated optics and photoncis --- optical analytics --- medical imaging and diagnostics --- optical communication technology --- distributed sensing

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Optics and photonics are among the key technologies of the 21st century, and offer potential for novel applications in areas such as sensing and spectroscopy, analytics, monitoring, biomedical imaging/diagnostics, and optical communication technology. The high degree of control over light fields, together with the capabilities of modern processing and integration technology, enables new optical measurement systems with enhanced functionality and sensitivity. They are attractive for a range of applications that were previously inaccessible. This Special Issue aims to provide an overview of some of the most advanced application areas in optics and photonics and indicate the broad potential for the future.

Technology: general issues --- optical --- electric-field --- sensor --- measurement --- transient voltage --- AC power grid --- Pockels effect --- dermatoscopy --- skin screening --- biomedical imaging --- fiber optic sensor --- Sagnac loop --- intensity-modulated --- DWDM --- strain sensor --- structural health monitoring (SHM) --- functionalized carbon structure (FCS) --- carbon reinforced concrete (CRC) --- fiber optic sensor (FOS) --- optical glass fiber --- wavefront sensor --- spatial light modulator --- contour-sum method --- topological charge --- orbital angular momentum --- optical coherence tomography --- Monte Carlo simulation --- structural imaging --- functional sensing --- optical scatterometry --- inverse problem --- profile reconstruction --- dependence analysis --- data refinement --- electro-optic dual-comb interferometry --- laser Doppler velocimetry --- Traceability --- sub-nanosecond laser --- high peak power --- Nd:YVO4 --- stimulated Raman scattering (SRS) --- thermal fracture --- wireless NoC (WiNoC) --- graphene based WiNoCs (GWiNoCs) --- wireless nanosensor networks (WNSNs) --- surface plasmon polariton (SPP) --- GFET --- multiple-input-multiple-output (MIMO) --- graphennas --- THz transceiver --- Mode Division Multiplexing (MDM) --- Few-Mode Fiber (FMF) --- principle mode groups (PMG) --- Bragg grating (BG) --- multi-mode fiber bragg grating --- multi-parameter sensing --- DAS --- fiber optic sensing --- train tracking --- pattern recognition --- hybrid lens --- optical wireless communications --- Li-Fi --- freeform lens --- optic design --- rotary interfaces --- rotary joint --- wireless rotary electrical interface --- rotating electrical connectors --- full-duplex data transfer --- Gigabit-Ethernet --- industrial communications --- real-time --- pathogen detection --- microfluidics --- image processing --- computational algorithms --- integrated optics and photonics --- integrated polymer optics --- organic laser --- integration --- polymeric waveguide --- Lab-on-a-Chip --- fiber optical sensing --- biosensing --- optofluidics --- integrated optics and photoncis --- optical analytics --- medical imaging and diagnostics --- optical communication technology --- distributed sensing --- optical --- electric-field --- sensor --- measurement --- transient voltage --- AC power grid --- Pockels effect --- dermatoscopy --- skin screening --- biomedical imaging --- fiber optic sensor --- Sagnac loop --- intensity-modulated --- DWDM --- strain sensor --- structural health monitoring (SHM) --- functionalized carbon structure (FCS) --- carbon reinforced concrete (CRC) --- fiber optic sensor (FOS) --- optical glass fiber --- wavefront sensor --- spatial light modulator --- contour-sum method --- topological charge --- orbital angular momentum --- optical coherence tomography --- Monte Carlo simulation --- structural imaging --- functional sensing --- optical scatterometry --- inverse problem --- profile reconstruction --- dependence analysis --- data refinement --- electro-optic dual-comb interferometry --- laser Doppler velocimetry --- Traceability --- sub-nanosecond laser --- high peak power --- Nd:YVO4 --- stimulated Raman scattering (SRS) --- thermal fracture --- wireless NoC (WiNoC) --- graphene based WiNoCs (GWiNoCs) --- wireless nanosensor networks (WNSNs) --- surface plasmon polariton (SPP) --- GFET --- multiple-input-multiple-output (MIMO) --- graphennas --- THz transceiver --- Mode Division Multiplexing (MDM) --- Few-Mode Fiber (FMF) --- principle mode groups (PMG) --- Bragg grating (BG) --- multi-mode fiber bragg grating --- multi-parameter sensing --- DAS --- fiber optic sensing --- train tracking --- pattern recognition --- hybrid lens --- optical wireless communications --- Li-Fi --- freeform lens --- optic design --- rotary interfaces --- rotary joint --- wireless rotary electrical interface --- rotating electrical connectors --- full-duplex data transfer --- Gigabit-Ethernet --- industrial communications --- real-time --- pathogen detection --- microfluidics --- image processing --- computational algorithms --- integrated optics and photonics --- integrated polymer optics --- organic laser --- integration --- polymeric waveguide --- Lab-on-a-Chip --- fiber optical sensing --- biosensing --- optofluidics --- integrated optics and photoncis --- optical analytics --- medical imaging and diagnostics --- optical communication technology --- distributed sensing