Software:AirQ+

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Short description: Software to assess the impact of air population on health


AirQ+ is a free software for Windows and Linux operating systems developed by the World Health Organization (WHO) Regional Office for Europe. The program calculates the magnitude of several health effects associated to exposure to the most relevant air pollutants in a given population. AirQ+ has been used in the BreatheLife campaign[1] and in numerous studies aimed at measuring long-term exposure to ambient particulate matter PM2.5.[2][3][4][5] The first version of the program, AirQ, was distributed in a Microsoft Excel spreadsheet program in 1999, followed by another version of AirQ for Windows in 2000. A substantial difference between AirQ and AirQ+ is that AirQ+ contains a new graphical user interface with several help texts and various features to input and analyse data and illustrate results.[2] AirQ+ version 1.3 was released in October 2018, version 2.0 in November 2019 and version 2.1 in May 2021. It is available in English, French, German and Russian.[6]

Purpose

AirQ+ is intended as a tool to ascertain the magnitude of the burden and impacts of air population on health in a given locality.[7] It performs this function by featuring data analysis, graphing tools, tables and quantitative information for prominent pollutants such as particulate matter (PM), nitrogen dioxide (NO2), and tropospheric ozone (O3). AirQ+ also has the capacity to perform calculations for black carbon (BC) and provides rough estimates of impacts of household (indoor) air pollution on health. AirQ+ can be applied to long- and short-term exposure to ambient air pollution and to long-term household air pollution exposure caused by solid fuel use.

Data input

For most prominent air pollutants, the user needs to input the following data:

  • air quality data (concentration of air pollutants);
  • relative risk (RR) values for the pollutant being assessed (source: epidemiological studies; default values are provided)
  • data for population at risk (population distribution);
  • health data (the health effect in question, like mortality);
  • a concentration cut-off value for consideration.

For household (indoor air pollution), the user needs to provide the following input:

  • relative risk (RR) values;
  • data for population at risk;
  • health data;
  • percentage of solid fuels us.

A minimum working knowledge of epidemiological concepts, in particular exposure–response relationship, relative risk, attributable risk and life table calculations is required to run the software. AirQ+ includes default values users can use for running impact assessments.

Users

Users include students, scientists, environmental experts, decision-makers, planners, and policy analysts. Advanced users can customize runtime parameters to meet their needs.

Related software

Other online available software tools that calculate the impacts of air pollution have been developed by the United States Environmental Protection Agency with its BenMAP.[8][9]

References

  1. ↑ "Air pollution is responsible for up to one in five premature deaths in 19 Western Balkan cities". https://breathelife2030.org/news/air-pollution-responsible-one-five-premature-deaths-19-western-balkan-cities/. 
  2. ↑ 2.0 2.1 Ansari, Mohsen; Ehrampoush, Mohammad Hassan (March 2019). "Meteorological correlates and AirQ+ health risk assessment of ambient fine particulate matter in Tehran, Iran". Environmental Research 170: 141–150. doi:10.1016/j.envres.2018.11.046. PMID 30579988. Bibcode: 2019ER....170..141A. 
  3. ↑ Oliveri Conti, Gea; Heibati, Behzad; Kloog, Itai; Fiore, Maria; Ferrante, Margherita (4 January 2017). "A review of AirQ Models and their applications for forecasting the air pollution health outcomes". Environmental Science and Pollution Research 24 (7): 6426–6445. doi:10.1007/s11356-016-8180-1. PMID 28054264. 
  4. ↑ De Marco, Alessandra; Amoatey, Patrick; Khaniabadi, Yusef Omidi; Sicard, Pierre; Hopke, Philip K. (November 2018). "Mortality and morbidity for cardiopulmonary diseases attributed to PM2.5 exposure in the metropolis of Rome, Italy". European Journal of Internal Medicine 57: 49–57. doi:10.1016/j.ejim.2018.07.027. PMID 30122285. 
  5. ↑ Todorović, M. N.; Radenković, M. B.; Rajšić, S. F.; Ignjatović, Lj. M. (27 April 2019). "Evaluation of mortality attributed to air pollution in the three most populated cities in Serbia". International Journal of Environmental Science and Technology 16 (11): 7059–7070. doi:10.1007/s13762-019-02384-6. 
  6. ↑ Gumy, Sophie; Mudu, Pierpaolo (2018). "News on air pollution and health data and impacts on health from the World Health Organization". Clean Air Journal 28 (1): 6. doi:10.17159/2410-972X/2018/v28n1a2. 
  7. ↑ Yarahmadi, Maryam; Hadei, Mostafa; Nazari, Seyed Saeed Hashemi; Conti, Gea Oliveri; Alipour, Mohammd Reza; Ferrante, Margherita; Shahsavani, Abbas (10 March 2018). "Mortality assessment attributed to long-term exposure to fine particles in ambient air of the megacity of Tehran, Iran". Environmental Science and Pollution Research 25 (14): 14254–14262. doi:10.1007/s11356-018-1680-4. PMID 29525861. 
  8. ↑ Sacks, Jason; Fann, Neal (2020). "Quantifying the Public Health Benefits of Reducing Air Pollution: Critically Assessing the Features and Capabilities of WHO's AirQ+ and U.S. EPA's Environmental Benefits Mapping and Analysis Program – Community Edition (BenMAP – CE)". Atmosphere 11 (5): 516. doi:10.3390/atmos11050516. PMID 32802480. Bibcode: 2020Atmos..11..516S. 
  9. ↑ Mirzaei, Asma; Tahriri, Hannaneh; Khorsandi, Babak (2021). "Comparison between AirQ+ and BenMAP-CE in estimating the health benefits of PM2.5 reduction". Air Quality, Atmosphere & Health 14: 807–815. doi:10.1007/s11869-021-01058-y. 

External links



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