Andrea Di Antonio

ORCID: 0000-0001-7012-5552
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About
Contact & Profiles
Research Areas
  • Air Quality Monitoring and Forecasting
  • Air Quality and Health Impacts
  • Climate Change and Health Impacts
  • Atmospheric chemistry and aerosols
  • Vehicle emissions and performance

University of Cambridge
2018-2019

There is increasing concern about the health impacts of ambient Particulate Matter (PM) exposure. Traditional monitoring networks, because their sparseness, cannot provide sufficient spatial-temporal measurements characteristic PM. Recent studies have shown portable low-cost devices (e.g., optical particle counters, OPCs) can help address this issue; however, application under conditions be affected by high relative humidity (RH) conditions. Here, we show how, exploiting measured size...

10.3390/s18092790 article EN cc-by Sensors 2018-08-24

Abstract. The inaccurate quantification of personal exposure to air pollution introduces error and bias in health estimations, severely limiting causal inference epidemiological research worldwide. Rapid advancements affordable, miniaturised sensor technologies offer the potential address this limitation by capturing high variability during daily life large-scale studies with unprecedented spatial temporal resolution. However, concerns remain regarding suitability novel sensing for...

10.5194/amt-12-4643-2019 article EN cc-by Atmospheric measurement techniques 2019-08-30

Abstract. The inaccurate quantification of personal exposure to air pollution introduces error and bias in health estimations, severely limiting causal inference epidemiological research worldwide. Rapid advancements affordable, miniaturised sensor technologies offer the potential address this limitation by capturing high variability during daily life large-scale studies with unprecedented spatial temporal resolution. However, concerns remain regarding suitability novel sensing for...

10.5194/amt-2019-158 preprint EN cc-by 2019-05-21
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