MonitorApp: a web tool to analyze and visualize pollution data detected by an electronic nose

Buono, Paolo; Balducci, Fabrizio

doi:10.1007/s11042-019-7676-3

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…Furthermore, inhaling NO 2 for the long term could trigger asthma and worsen cold leading to exacerbating many functions. Moreover, cold can incite chronic illnesses that include lung cancer (Buono and Balducci, 2019), chronic obstructive pulmonary disease (COPD) (Ho, 2019) and emphysema (Zhang, 2019). In some cases, it could also incite heart and cardiovascular diseases (Persinger, 2002; Pope, 2004).…”

Section: Introductionmentioning

confidence: 99%

Assessing nitrogen dioxide (NO2) impact on health pre- and post-COVID-19 pandemic using IoT in India

Sitharthan

Sundar

Rajesh³

et al. 2020

IJPCC

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Purpose Corona Virus Disease 2019 (COVID-19) is a deadly virus named after severe acute respiratory syndrome coronavirus 2; it affects the respiratory system of the human and sometimes leads to death. The COVID-19 mainly attacks the person with previous lung diseases; the major cause of lung diseases is the exposure to nitrogen dioxide (NO2) for a longer duration. NO2 is a gaseous air pollutant caused as an outcome of the vehicles, industrial smoke and other combustion processes. Exposure of NO2 for long-term leads to the risk of respiratory and cardiovascular diseases and sometimes leads to fatality. This paper aims to analyze the NO2 level impact in India during pre- and post-COVID-19 lockdown. The study also examines the relationship between the fatality rate of humans because of exposure to NO2 and COVID-19. Design/methodology/approach Spatial analysis has been conducted in India based on the mortality rate caused by the COVID-19 using the data obtained through Internet of Medical things. Meanwhile, the mortality rate because of the exposure of NO2 has been conducted in India to analyze the relationship. Further, NO2 level assessment is carried out using Copernicus Sentinel-5P satellite data. Moreover, aerosol optical depth analysis has been carried out based on NASA’s Earth Observing System data. Findings The results indicate that NO2 level has dropped 20-year low because of the COVID-19 lockdown. The results also determine that the mortality rate because of long-time exposure to NO2 is higher than COVID-19 and the mortality rate because of COVID-19 may be a circumlocutory effect owing to the inhalation of NO2. Originality/value Using the proposed approach, the COVID-19 spread can be identified by knowing the air pollution in major cities. The research also identifies that COVID-19 may have an effect because of the inhalation of NO2, which can severe the COVID-19 in the human body.

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Section: Introductionmentioning

confidence: 99%

Assessing nitrogen dioxide (NO2) impact on health pre- and post-COVID-19 pandemic using IoT in India

Sitharthan

Sundar

Rajesh³

et al. 2020

IJPCC

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“…Buono and et al [4] propose an analysis of air quality data, which may reveal the quality of life and can prevent dangers for the citizen health. This work presents a visual analytics approach to support air quality experts in the analysis of data produced by electronic nose devices.…”

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confidence: 99%

Special issue on information visualisation

Francese

Banissi

Risi

2019

Multimed Tools Appl

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We are in the Big Data era, characterized by an increasing amount of information generated everyday by all the phenomena concerning our life. These data are collected by many information sources and systems ranging from IoT sensors, large databases, social networks and interactive platforms, as well as generic media like images, videos and audios. Thus, to be able to comprehend the phenomena underlying this data there is the need of designing effective visualization tools. The papers selected for this special issue outline and evaluate some recent works on multimedia tools for information visualization and interaction with various types of data, including textual documents, graphs, spatio-temporal data, multimedia contents, and musical data. The international conference on information Visualisation (iV), one of the longest running on the subject has open forum philosophy of interdisciplinary drive to define its subject theme and discussion and focus group. This special issue of Multimedia Tools and Applications for Information Visualisation is based on the handful of submissions to the 22 nd International Conference on Information Visualisation (iV18), which was held in Italy in July 2018. The selected papers give examples of techniques, domains and number of case studies to address some issues. The papers presented in this Special Issue investigate different aspects of the theme highlighted above. The first set of papers [1, 2, 12, 16] investigate and evaluate the visualization of spatial, temporal and spatio-temporal data. Almeida et al. [2] consider how and why consideration of Level of Detail (LoD) plays a crucial role in analytics. They propose a Visual Analytics approach-VAST, allows users to simultaneous inspection of phenomenon using different LoDs. VAST demonstrates using LoDs will reveal different prospective and hence portraying different perception of the phenomenon.

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Communicating Consequences: Visual Narratives, Abstraction, and Polysemy in Rural Bangladesh

Sultana

Ahmed

Rzeszotarski

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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MonitorApp: a web tool to analyze and visualize pollution data detected by an electronic nose

Cited by 3 publications

References 22 publications

Assessing nitrogen dioxide (NO2) impact on health pre- and post-COVID-19 pandemic using IoT in India

Assessing nitrogen dioxide (NO2) impact on health pre- and post-COVID-19 pandemic using IoT in India

Special issue on information visualisation

Communicating Consequences: Visual Narratives, Abstraction, and Polysemy in Rural Bangladesh

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