TY - BOOK ID - 145080674 TI - Integrated human exposure to air pollution AU - Canha, Nuno AU - Almeida, Marta AU - Diapouli, Evangelia PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Research & information: general KW - Biology, life sciences KW - Personal Air Pollution Exposure (PAPE) KW - air pollution monitoring KW - IoT KW - Air Quality Decision Support System KW - health impact KW - air pollution KW - public concern KW - air quality index KW - Baidu index KW - Shanghai KW - air quality KW - crowd-sensing KW - crowd-sourced sensing KW - environmental analysis KW - pollution KW - particulate matter KW - dust sensor KW - human exposure KW - Arduino KW - wireless networks KW - oxides KW - traffic KW - state space KW - milan KW - area b KW - cross validation KW - policy intervention analysis KW - counter-factual KW - unobservable components KW - PM2.5 KW - population exposure KW - tier-models KW - health burden misclassification KW - BenMap-CE KW - tuberculosis KW - infectious disease KW - time-series KW - Poisson regression KW - kriging KW - road dust KW - PM10 emission factors KW - enrichment index KW - human health risk KW - atmospheric aerosols KW - bioaerosols KW - culturable bacteria KW - long-term trends KW - hazard for human KW - indoor air quality KW - e-cigarettes KW - heat-not-burn tobacco KW - traditional smoking products KW - tobacco smoke KW - passenger cars KW - lung inflammation KW - allergy KW - indoor pollutants KW - biomarkers KW - FeNO KW - eosinophil KW - neutrophil KW - fine particulate matter KW - economic growth KW - urbanization KW - industrialization KW - Granger causality test KW - air pollutants KW - monitoring KW - seasonality KW - chemical characterization KW - source apportionment KW - particulate matters (PM) KW - air purifier KW - experiment KW - real-time monitoring unit KW - transfer unit KW - occupant KW - breathing zone KW - cooking fuel KW - household air pollution KW - preterm births KW - perinatal mortality KW - low birth weight KW - stillbirth KW - Nigeria KW - Personal Air Pollution Exposure (PAPE) KW - air pollution monitoring KW - IoT KW - Air Quality Decision Support System KW - health impact KW - air pollution KW - public concern KW - air quality index KW - Baidu index KW - Shanghai KW - air quality KW - crowd-sensing KW - crowd-sourced sensing KW - environmental analysis KW - pollution KW - particulate matter KW - dust sensor KW - human exposure KW - Arduino KW - wireless networks KW - oxides KW - traffic KW - state space KW - milan KW - area b KW - cross validation KW - policy intervention analysis KW - counter-factual KW - unobservable components KW - PM2.5 KW - population exposure KW - tier-models KW - health burden misclassification KW - BenMap-CE KW - tuberculosis KW - infectious disease KW - time-series KW - Poisson regression KW - kriging KW - road dust KW - PM10 emission factors KW - enrichment index KW - human health risk KW - atmospheric aerosols KW - bioaerosols KW - culturable bacteria KW - long-term trends KW - hazard for human KW - indoor air quality KW - e-cigarettes KW - heat-not-burn tobacco KW - traditional smoking products KW - tobacco smoke KW - passenger cars KW - lung inflammation KW - allergy KW - indoor pollutants KW - biomarkers KW - FeNO KW - eosinophil KW - neutrophil KW - fine particulate matter KW - economic growth KW - urbanization KW - industrialization KW - Granger causality test KW - air pollutants KW - monitoring KW - seasonality KW - chemical characterization KW - source apportionment KW - particulate matters (PM) KW - air purifier KW - experiment KW - real-time monitoring unit KW - transfer unit KW - occupant KW - breathing zone KW - cooking fuel KW - household air pollution KW - preterm births KW - perinatal mortality KW - low birth weight KW - stillbirth KW - Nigeria UR - https://www.unicat.be/uniCat?func=search&query=sysid:145080674 AB - The book “Integrated human exposure to air pollution” aimed to increase knowledge about human exposure in different micro-environments, or when citizens are performing specific tasks, to demonstrate methodologies for the understanding of pollution sources and their impact on indoor and ambient air quality, and, ultimately, to identify the most effective mitigation measures to decrease human exposure and protect public health. Taking advantage of the latest available tools, such as internet of things (IoT), low-cost sensors and a wide access to online platforms and apps by the citizens, new methodologies and approaches can be implemented to understand which factors can influence human exposure to air pollution. This knowledge, when made available to the citizens, along with the awareness of the impact of air pollution on human life and earth systems, can empower them to act, individually or collectively, to promote behavioral changes aiming to reduce pollutants’ emissions. Overall, this book gathers fourteen innovative studies that provide new insights regarding these important topics within the scope of human exposure to air pollution. A total of five main areas were discussed and explored within this book and, hopefully, can contribute to the advance of knowledge in this field. ER -