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Scale up and implementation of new point-of-care (POC) diagnostics is a global health priority to enable the adoption of new evidence-based POC diagnostics and to replicate and extend the reach of POC diagnostics. Global private and public sector agencies have significantly increased their investment in the development of POC diagnostics to meet the unmet needs of patients in resource-limited settings, particularly disease burdened settings with limited access to laboratory infrastructure. However, previous research has demonstrated that the availability of health technologies in these settings does not always guarantee patient-centered outcomes. The applicability, effectiveness and sustainability of diagnostic technologies is affected by the involvement of all stakeholders during planning and implementation, which must be relevant to each specific context and sensitive to local culture. Factors such as infrastructure, resources, values and characteristics of participants can influence the implementation, scalability and sustainability of health interventions such as POC diagnostics. This book, “Implementation and Scale up of Point of Care (POC) Diagnostics in Resource-Limited Settings”, presents literature reviews and primary research studies focusing on the implementation and scale up of POC diagnostics in resource-limited settings.
Humanities --- Social interaction --- point-of-care-ultrasound --- ultrasound --- implementation --- point of care ultrasound --- augmented reality --- telemedicine --- spatial accessibility --- blood group --- rhesus type --- point-of-care testing --- maternal healthcare --- Upper East Region --- Ghana --- point-of-care ultrasound --- medical education --- syphilis --- maternal mortality --- interrupted time series --- segmented regression analysis --- point-of-care CD4+ t testing --- qualitative survey --- acceptability --- patients --- healthcare providers --- primary healthcare clinics --- HIV self-testing --- scale-up --- key stakeholder --- quality HIV point-of-care-diagnostics --- nominal group technique --- stakeholder engagement --- self-testing --- novel coronavirus disease-19 --- blockchain --- artificial intelligence --- geographical access --- glucose-6-phosphate dioxygenase deficiency --- antenatal care --- upper east region --- schistosomiasis --- barriers to diagnostics --- access to healthcare --- end-user perspectives --- neglected tropical diseases --- Nigeria --- case management --- electronic health information system --- diagnosis --- treatment --- point-of-care --- low and middle income countries --- point-of-care diagnostics --- healthcare services --- COVID-19 era
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Scale up and implementation of new point-of-care (POC) diagnostics is a global health priority to enable the adoption of new evidence-based POC diagnostics and to replicate and extend the reach of POC diagnostics. Global private and public sector agencies have significantly increased their investment in the development of POC diagnostics to meet the unmet needs of patients in resource-limited settings, particularly disease burdened settings with limited access to laboratory infrastructure. However, previous research has demonstrated that the availability of health technologies in these settings does not always guarantee patient-centered outcomes. The applicability, effectiveness and sustainability of diagnostic technologies is affected by the involvement of all stakeholders during planning and implementation, which must be relevant to each specific context and sensitive to local culture. Factors such as infrastructure, resources, values and characteristics of participants can influence the implementation, scalability and sustainability of health interventions such as POC diagnostics. This book, “Implementation and Scale up of Point of Care (POC) Diagnostics in Resource-Limited Settings”, presents literature reviews and primary research studies focusing on the implementation and scale up of POC diagnostics in resource-limited settings.
point-of-care-ultrasound --- ultrasound --- implementation --- point of care ultrasound --- augmented reality --- telemedicine --- spatial accessibility --- blood group --- rhesus type --- point-of-care testing --- maternal healthcare --- Upper East Region --- Ghana --- point-of-care ultrasound --- medical education --- syphilis --- maternal mortality --- interrupted time series --- segmented regression analysis --- point-of-care CD4+ t testing --- qualitative survey --- acceptability --- patients --- healthcare providers --- primary healthcare clinics --- HIV self-testing --- scale-up --- key stakeholder --- quality HIV point-of-care-diagnostics --- nominal group technique --- stakeholder engagement --- self-testing --- novel coronavirus disease-19 --- blockchain --- artificial intelligence --- geographical access --- glucose-6-phosphate dioxygenase deficiency --- antenatal care --- upper east region --- schistosomiasis --- barriers to diagnostics --- access to healthcare --- end-user perspectives --- neglected tropical diseases --- Nigeria --- case management --- electronic health information system --- diagnosis --- treatment --- point-of-care --- low and middle income countries --- point-of-care diagnostics --- healthcare services --- COVID-19 era
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Scale up and implementation of new point-of-care (POC) diagnostics is a global health priority to enable the adoption of new evidence-based POC diagnostics and to replicate and extend the reach of POC diagnostics. Global private and public sector agencies have significantly increased their investment in the development of POC diagnostics to meet the unmet needs of patients in resource-limited settings, particularly disease burdened settings with limited access to laboratory infrastructure. However, previous research has demonstrated that the availability of health technologies in these settings does not always guarantee patient-centered outcomes. The applicability, effectiveness and sustainability of diagnostic technologies is affected by the involvement of all stakeholders during planning and implementation, which must be relevant to each specific context and sensitive to local culture. Factors such as infrastructure, resources, values and characteristics of participants can influence the implementation, scalability and sustainability of health interventions such as POC diagnostics. This book, “Implementation and Scale up of Point of Care (POC) Diagnostics in Resource-Limited Settings”, presents literature reviews and primary research studies focusing on the implementation and scale up of POC diagnostics in resource-limited settings.
Humanities --- Social interaction --- point-of-care-ultrasound --- ultrasound --- implementation --- point of care ultrasound --- augmented reality --- telemedicine --- spatial accessibility --- blood group --- rhesus type --- point-of-care testing --- maternal healthcare --- Upper East Region --- Ghana --- point-of-care ultrasound --- medical education --- syphilis --- maternal mortality --- interrupted time series --- segmented regression analysis --- point-of-care CD4+ t testing --- qualitative survey --- acceptability --- patients --- healthcare providers --- primary healthcare clinics --- HIV self-testing --- scale-up --- key stakeholder --- quality HIV point-of-care-diagnostics --- nominal group technique --- stakeholder engagement --- self-testing --- novel coronavirus disease-19 --- blockchain --- artificial intelligence --- geographical access --- glucose-6-phosphate dioxygenase deficiency --- antenatal care --- upper east region --- schistosomiasis --- barriers to diagnostics --- access to healthcare --- end-user perspectives --- neglected tropical diseases --- Nigeria --- case management --- electronic health information system --- diagnosis --- treatment --- point-of-care --- low and middle income countries --- point-of-care diagnostics --- healthcare services --- COVID-19 era
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Environmental health researchers have long used concepts like the neighborhood effect to assessing people's exposure to environmental influences and the associated health impact. However, these are static notions that ignore people's daily mobility at various spatial and temporal scales (e.g., daily travel, migratory movements, and movements over the life course) and the influence of neighborhood contexts outside their residential neighborhoods. Recent studies have started to incorporate human mobility, non-residential neighborhoods, and the temporality of exposures through collecting and using data from GPS, accelerometers, mobile phones, various types of sensors, and social media. Innovative approaches and methods have been developed. This Special Issue aims to showcase studies that use new approaches, methods, and data to examine the role of human mobility and non-residential contexts on human health behaviors and outcomes. It includes 21 articles that cover a wide range of topics, including individual exposure to air pollution, exposure and access to green spaces, spatial access to healthcare services, environmental influences on physical activity, food environmental and diet behavior, exposure to noise and its impact on mental health, and broader methodological issues such as the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP). This collection will be a valuable reference for scholars and students interested in recent advances in the concepts and methods in environmental health and health geography.
the elderly --- regression analysis --- walking event --- green space --- missing data --- crop residue burning --- correlation analysis --- imputation --- physical environment --- crowdedness --- Guangzhou --- mobile phone data --- GPS trace --- noise pollution --- mental disorders --- Beijing --- urban leisure --- environmental exposure --- environmental context cube --- subway stations --- air pollution exposure --- long-distance walking --- car ownership --- multilevel model --- CHAS --- ecological momentary assessment --- cycling for transportation --- cognitive aging --- 3SFCA --- interannual and seasonal variations --- well-being experience --- personal projects --- spatial spread --- E2SFCA --- activity space --- catchment areas --- structural equation modeling --- transport modes --- greenspace exposure --- health --- train stations --- human mobility --- quantile regression --- the neighborhood effect averaging problem (NEAP) --- emissions estimation --- taxi GPS trajectories --- real-time traffic --- primary healthcare --- rail travel --- spatial accessibility --- commuting route --- GPS --- urban planning --- environmental health --- Brazil --- EMA --- geographical accessibility --- big data --- dynamic assessment --- obesity --- healthcare accessibility --- population demand --- the uncertain geographic context problem (UGCoP) --- geographic impedance --- collective leisure activity --- multimodal network --- GIS --- 2009 influenza A(H1N1) pandemic --- UGCoP --- environmental exposures --- spatial data --- the uncertain geographic context problem --- Singapore --- built environment --- adults --- time-weighted exposure --- geographic imputation --- Public Participatory GIS (PPGIS) --- access probability --- life-course perspectives --- China --- walking --- active travel --- foodscape exposure --- car use --- food environment --- fuel consumption --- ageing --- Healthcare services --- road traffic accidents --- space-time kernel density estimation --- multilevel Bayesian model --- environmental context exposure index --- spatial autocorrelation --- PM concentrations --- physical activity --- bike paths
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This collection that is based on the Special Issue contains 37 high-quality, rigorously peer-reviewed, cutting-edge pieces of original research applying a multi-disciplinary academic approach to study how to improve environment quality and healthy living in contemporary and future urban environments. This multidisciplinary collection helps to disseminate and communicate scientific knowledge and impactful discoveries of how to make healthy cities available to researchers, academics, and the general public globally.
Humanities --- Social interaction --- urban sprawl --- physical health --- mental health --- Smog Free Tower --- air purification --- housing price --- moderating effect --- traffic convenience --- urban resilience --- spatiotemporal differentiation --- ESDA --- geographical detector model --- YRB --- social capital --- social participation --- volunteering --- urban China --- urban governance --- Chinese national scenic areas --- tourism economy --- time-limited rectification --- pilot free trade zones --- green total factor productivity --- green development --- difference-in-differences --- quasi-natural experiment --- land use evolution --- land ecological security --- AHP-FCE model --- evaluation --- China --- business environment --- FDI --- BRI countries --- status elevation the global value chain --- pilot free trade zone --- port --- green TFP --- environmental constraints --- regional heterogeneity --- air pollution --- health shocks --- labor mobility --- mediating effect --- threshold effect --- production-living-ecology --- spatial transformation characteristics --- spatial conflicts --- urban agglomeration --- carbon emissions --- Tapio decoupling --- LMDI model --- provincial level --- low-carbon economy --- physical inactivity --- prolonged sitting --- unhealthy diet --- sports facilities --- street greenery --- spatial accessibility --- medical system --- multi-tiered two-step floating catchment area (MT2SFCA) method --- equity --- healthcare --- Hu Line of land --- “production-living-ecology” coordination --- spatial heterogeneity --- ESDA-GWR --- COVID-19 --- mask --- willingness to pay --- protection motivation theory --- contingent value method --- urban --- health impact assessment --- bibliometric analysis --- CiteSpace --- knowledge mapping --- disaster-preventive migration (DPM) --- social stability risk --- fuzzy comprehensive evaluation (FCE) --- ethnic minority area --- green finance --- ecological environment --- coupling coordination rate --- spatiotemporal evolution --- driving factor --- environmental equality --- guanxi network --- pig farming pollution --- cost and benefit sharing --- technological innovation --- coupling coordination --- green economy --- aging migration --- housing tenure --- social integration --- Beijing --- environmental pollution control investment efficiency --- three-stage DEA --- super-efficient SBM --- Global-Malmquist-Luenberger index --- regional differences --- digital financial inclusion --- green innovation --- financing constraints --- life cycle --- carbon emissions trading --- total factor productivity of agricultural enterprises --- double difference --- policy mix --- policy design --- pandemic management --- policy outcomes --- compound crisis --- urban sustainability --- healthy cities --- projects --- risks --- expert evaluation --- fuzzy sets --- European Green Deal --- Industry 5.0 --- decision-making --- transport --- medical infrastructure --- healing and therapeutic design --- blockchain --- building information modeling (BIM) --- landscape information modeling (LIM) --- city information modeling (CIM) --- art therapy --- sustainable development --- non-fungible token (NFT) --- Health Metaverse --- workplace --- avoidance behavior --- public health --- regression discontinuity design --- migration intention --- high human capital --- instrumental variable --- regional economic resilience --- influence mechanism --- Yellow River Basin --- quality of life --- healthy region --- healthy environment --- spatial --- synthetic measure --- voivodship --- national fitness policy --- national health --- human capital --- public finance health expenditures --- civil registration --- block chain --- digitization governance --- smart contract --- urban young returnees --- happiness --- healthy China --- HLM --- SEM --- rural-to-urban migrant --- performance analysis --- science mapping --- network analysis --- environmental policy uncertainty --- enterprise pollution emission --- enterprise innovation --- the foreign investment
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