Constructing an Air Quality Health Index for children: A case study in Shanghai, China

Zhang, Lijun; Xu, Hua; Guo, Changyi; Chen, Jian; Dong, Chunyang; Zhang, Jianghua; Shi, Yewen; Xu, Dong; Ling, Li-Min; Zhang, Biao; Su, Jin; Fu, Congsheng

doi:10.1016/j.atmosenv.2021.118765

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…17 In Shanghai, the annual average concentration of PM 2.5 decreased to 32 mg m −3 in 2020 from 62 mg m −3 in 2013. 18 Air pollution control has encouragingly made substantial achievements by signicantly dropping annual average particulate matter concentrations, but knowledge gaps are still confronted. 19 The contemporary literature mainly focuses on airborne microbial community structure on polluted days, [20][21][22] while the features of airborne microbes on 'clean' days are poorly understood.…”

Section: Introductionmentioning

confidence: 99%

Nycterohemeral airborne fungal and bacterial communities and health risks of potential pathogens in Shanghai

Geng,

Nie,

Chen

et al. 2024

Environ. Sci.: Atmos.

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Section: Introductionmentioning

confidence: 99%

Nycterohemeral airborne fungal and bacterial communities and health risks of potential pathogens in Shanghai

Geng,

Nie,

Chen

et al. 2024

Environ. Sci.: Atmos.

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“…To address the shortcomings of the AQI, the concept of an air quality health index (AQHI) was first proposed in Canada to assess the effects of multiple air pollutants on health and to assess air quality (17). The AQHI has subsequently been investigated in Shanghai (18,19), Guangzhou (15), Tianjin (20), and Hong Kong (21), China. Du et al (22) analyzed exposure-response relationships between multiple air pollutants and daily mortality rates in 272 representative cities in China, and established a national AQHI based on PM 2.5 , O 3 , and NO 2 .…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China

Wang

Dou

et al. 2023

Front. Public Health

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IntroductionAir pollution imposes a significant burden on public health. Compared with the popular air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive approach to measuring mixtures of air pollutants and is suitable for overall assessments of the short-term health effects of such mixtures.MethodsWe established an AQHI and cumulative risk index (CRI)-AQHI for Tianjin using single–and multi-pollutant models, respectively, as well as environmental, meteorological, and daily mortality data of residents in Tianjin between 2018 and 2020.Results and discussionCompared with the AQI, the AQHI and CRI-AQHI established herein correlated more closely with the exposure-response relationships of the total mortality effects on residents. For each increase in the interquartile range of the AQHI, CRI-AQHI and AQI, the total daily mortality rates increased by 2.06, 1.69 and 0.62%, respectively. The AQHI and CRI-AQHI predicted daily mortality rate of residents more effectively than the AQI, and the correlations of AQHI and CRI-AQHI with health were similar. Our AQHI of Tianjin was used to establish specific (S)-AQHIs for different disease groups. The results showed that all measured air pollutants had the greatest impact on the health of persons with chronic respiratory diseases, followed by lung cancer, and cardiovascular and cerebrovascular diseases. The AQHI of Tianjin established in this study was accurate and dependable for assessing short-term health risks of air pollution in Tianjin, and the established S-AQHI can be used to separately assess health risks among different disease groups.

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“…These activities can facilitate the construction of a reasonable evaluation index for providing public health recommendations. Some cities in China (e.g., Hong Kong, Shanghai, Tianjin, and Guangzhou) employ an AQHI [17,19,[23][24][25][26]. The air pollution in Beijing, the capital of China, has become severe due to the rapid development of China's economy, and this pollution has exacerbated citizens' health problems.…”

Section: Introductionmentioning

confidence: 99%

Construction of Multipollutant Air Quality Health Index and Susceptibility Analysis Based on Mortality Risk in Beijing, China

Wang

Ding

et al. 2022

Atmosphere

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Air pollution places a considerable disease burden on the public. Compared with the widely applied air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive measure of multiple pollutants. In this study, AQHI was constructed using environmental data, meteorological data, and the daily mortality data of Beijing residents from 2018 to 2020. Factors increasing the susceptibility of the population to the health effects of air pollution were identified to aid the construction of a specific AQHI (S-AQHI) for susceptible populations. The findings indicated that older adults, women, and people with respiratory disease are more susceptible to the short-term health effects of air pollution. The relative deviation in the AQHI and S-AQHI for changes in daily mortality percentage of various specific populations ranged from only 1.4% to 10.3%, indicating the universality of the AQHI in its capacity to predict health risks. The Spearman coefficient of correlation between the AQHI and AQI was 0.78 (p < 0.01). Each increase in the interquartile range of the AQHI and AQI results in an increase of 1.894% and 1.029% in the total daily mortality, respectively, demonstrating the stronger capacity of the AQHI to predict daily mortality compared to the AQI.

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Constructing an Air Quality Health Index for children: A case study in Shanghai, China

Cited by 5 publications

References 37 publications

Nycterohemeral airborne fungal and bacterial communities and health risks of potential pathogens in Shanghai

Nycterohemeral airborne fungal and bacterial communities and health risks of potential pathogens in Shanghai

Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China

Construction of Multipollutant Air Quality Health Index and Susceptibility Analysis Based on Mortality Risk in Beijing, China

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