The summary of the models is presented in Table 1.
Survey summary
| Author . | Model . | Pollutant variables . | Health variables . |
|---|---|---|---|
| Pope et al. (2009) | Linear regression model | PM2.5 | Life expectancy |
| Burnett et al. (2014) | Integrated exposure-response (IER) model | Indoor and outdoor air pollutants on the scale of PM2.5 | Premature death mortality |
| Kumar et al. (2016) | Interpolation techniques | SO2, NO2 and SPM | Health cost |
| Silva (2015) | Regression | Ambient air quality index | Premature death mortality |
| Maji et al. (2017a) | Epidemiology-based exposure-response function | PM2.5 | DALYs |
| Chowdhury & Dey (2016) | Non-linear power law function | PM2.5 | Mortality |
| Maji et al. (2018) | Regression | PM2.5 | Mortality |
| Balakrishnan et al. (2018) | Regression | PM2.5 | Premature death adjusting for DALYs |
| Saini & Sharma (2019) | Integrated exposure-response (IER) | PM2.5 | Stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infection (LRI) and lung cancer (LNC) |
| Manojkumar & Srimurganandam (2021) | Linear regression | Particular matter (PM) | Hospital admission count for cardiovascular and respiratory problems |
| Pandey et al. (2021) | Cost of illness method | Particulate matter pollution, household air pollution and ozone pollution | Premature death adjusting for DALYs |
| Bhowmik et al. (2022) | Eigen perturbation | Real-time monitoring | Data analytics |
| Mucchielli et al. (2020) | Descriptive and analytical statistics | Online identification of variables | In-situ perception of streaming data |
| Lu et al. (2017) | SEM | SO2 and wastewater emissions | Mortality |
| Wu et al. (2020) | Wavelet analysis | PM2.5 | Healthcare expenditure |
| Hao & Gao (2019) | Expanded Grossman health production function | Sulphur dioxide emissions, industrial smoke dust emissions | Mortality rates |
| Karambelas et al. (2018) | Linear correlation | PM2.5, O3 | Mortality rate |
| Ravishankara et al. (2020) | Linear correlation | PM2.5 | Stoke, COPD, LRI and LNC |
| Koul (2021) | Linear correlation | Indoor and outdoor pollution in terms of PM2.5 | Premature death adjusting for DALYs |
| Ranzani et al. (2020) | Separate linear mixed models | The PM2.5 levels and black carbon levels | Bone mass |
| Behera et al. (2012) | Correlation model | Groundwater pollutants | Perceived health risk |
| James et al. (2020) | Regression model | PM2.5 due to cooking fuel | Ophthalmic, cardiovascular, dermatological symptoms |
| Author . | Model . | Pollutant variables . | Health variables . |
|---|---|---|---|
| Pope et al. (2009) | Linear regression model | PM2.5 | Life expectancy |
| Burnett et al. (2014) | Integrated exposure-response (IER) model | Indoor and outdoor air pollutants on the scale of PM2.5 | Premature death mortality |
| Kumar et al. (2016) | Interpolation techniques | SO2, NO2 and SPM | Health cost |
| Silva (2015) | Regression | Ambient air quality index | Premature death mortality |
| Maji et al. (2017a) | Epidemiology-based exposure-response function | PM2.5 | DALYs |
| Chowdhury & Dey (2016) | Non-linear power law function | PM2.5 | Mortality |
| Maji et al. (2018) | Regression | PM2.5 | Mortality |
| Balakrishnan et al. (2018) | Regression | PM2.5 | Premature death adjusting for DALYs |
| Saini & Sharma (2019) | Integrated exposure-response (IER) | PM2.5 | Stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infection (LRI) and lung cancer (LNC) |
| Manojkumar & Srimurganandam (2021) | Linear regression | Particular matter (PM) | Hospital admission count for cardiovascular and respiratory problems |
| Pandey et al. (2021) | Cost of illness method | Particulate matter pollution, household air pollution and ozone pollution | Premature death adjusting for DALYs |
| Bhowmik et al. (2022) | Eigen perturbation | Real-time monitoring | Data analytics |
| Mucchielli et al. (2020) | Descriptive and analytical statistics | Online identification of variables | In-situ perception of streaming data |
| Lu et al. (2017) | SEM | SO2 and wastewater emissions | Mortality |
| Wu et al. (2020) | Wavelet analysis | PM2.5 | Healthcare expenditure |
| Hao & Gao (2019) | Expanded Grossman health production function | Sulphur dioxide emissions, industrial smoke dust emissions | Mortality rates |
| Karambelas et al. (2018) | Linear correlation | PM2.5, O3 | Mortality rate |
| Ravishankara et al. (2020) | Linear correlation | PM2.5 | Stoke, COPD, LRI and LNC |
| Koul (2021) | Linear correlation | Indoor and outdoor pollution in terms of PM2.5 | Premature death adjusting for DALYs |
| Ranzani et al. (2020) | Separate linear mixed models | The PM2.5 levels and black carbon levels | Bone mass |
| Behera et al. (2012) | Correlation model | Groundwater pollutants | Perceived health risk |
| James et al. (2020) | Regression model | PM2.5 due to cooking fuel | Ophthalmic, cardiovascular, dermatological symptoms |