Please wait a minute...
Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

Front. Eng    2022, Vol. 9 Issue (2) : 337-342    https://doi.org/10.1007/s42524-022-0189-1
COMMENTS
Leveraging individual-level data to advance air pollution health risk management
Jianxun YANG, Wenjing WU, Miaomiao LIU(), Jun BI
State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China
 Download: PDF(1026 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Corresponding Author(s): Miaomiao LIU   
Just Accepted Date: 23 March 2022   Online First Date: 22 April 2022    Issue Date: 25 May 2022
 Cite this article:   
Jianxun YANG,Wenjing WU,Miaomiao LIU, et al. Leveraging individual-level data to advance air pollution health risk management[J]. Front. Eng, 2022, 9(2): 337-342.
 URL:  
https://academic.hep.com.cn/fem/EN/10.1007/s42524-022-0189-1
https://academic.hep.com.cn/fem/EN/Y2022/V9/I2/337
Fig.1  Applications of individual-level data in environmental health risk management.
1 P J Barwick S Li D Rao N B (2018) Zahur. The healthcare cost of air pollution: Evidence from the world’s largest payment network. Working Paper 24688. National Bureau of Economic Research
2 P Baylis, 2020. Temperature and temperament: Evidence from Twitter. Journal of Public Economics, 184: 104161
https://doi.org/10.1016/j.jpubeco.2020.104161
3 A Caplin, M Ghandehari, C Lim, P Glimcher, G Thurston, 2019. Advancing environmental exposure assessment science to benefit society. Nature Communications, 10( 1): 1236
https://doi.org/10.1038/s41467-019-09155-4 pmid: 30874557
4 L Casas, K Simons, T S Nawrot, O Brasseur, P Declerck, R Buyl, D Coomans, B Nemery, A van Nieuwenhuyse, 2016. Respiratory medication sales and urban air pollution in Brussels (2005 to 2011). Environment International, 94: 576– 582
https://doi.org/10.1016/j.envint.2016.06.019 pmid: 27346740
5 B Chaix, 2018. Mobile sensing in environmental health and neighborhood research. Annual Review of Public Health, 39( 1): 367– 384
https://doi.org/10.1146/annurev-publhealth-040617-013731 pmid: 29608869
6 J Colmer, I Hardman, J Shimshack, J Voorheis, 2020. Disparities in PM2.5 air pollution in the United States. Science, 369( 6503): 575– 578
https://doi.org/10.1126/science.aaz9353 pmid: 32732425
7 L Deville Cavellin, S Weichenthal, R Tack, M S Ragettli, A Smargiassi, M Hatzopoulou, 2016. Investigating the use of portable air pollution sensors to capture the spatial variability of traffic-related air pollution. Environmental Science & Technology, 50( 1): 313– 320
https://doi.org/10.1021/acs.est.5b04235 pmid: 26606504
8 P Deville, C Linard, S Martin, M Gilbert, F R Stevens, A E Gaughan, V D Blondel, A J Tatem, 2014. Dynamic population mapping using mobile phone data. Proceedings of the National Academy of Sciences of the United States of America, 111( 45): 15888– 15893
https://doi.org/10.1073/pnas.1408439111 pmid: 25349388
9 B Dewulf, T Neutens, W Lefebvre, G Seynaeve, C Vanpoucke, C Beckx, N van de Weghe, 2016. Dynamic assessment of exposure to air pollution using mobile phone data. International Journal of Health Geographics, 15( 1): 14
https://doi.org/10.1186/s12942-016-0042-z pmid: 27097526
10 E Dons, M Laeremans, J P Orjuela, I Avila-Palencia, G Carrasco-Turigas, T Cole-Hunter, E Anaya-Boig, A Standaert, Boever P de, T Nawrot, T Götschi, Nazelle A de, M Nieuwenhuijsen, Panis L Int, 2017. Wearable sensors for personal monitoring and estimation of inhaled traffic-related air pollution: Evaluation of methods. Environmental Science & Technology, 51( 3): 1859– 1867
https://doi.org/10.1021/acs.est.6b05782 pmid: 28080048
11 Y Fan, J Palacios, M Arcaya, R Luo, S Zheng, 2021. Health perception and commuting choice: A survey experiment measuring behavioral trade-offs between physical activity benefits and pollution exposure risks. Environmental Research Letters, 16( 5): 054026
https://doi.org/10.1088/1748-9326/abecfd
12 A Ghermandi, M Sinclair, 2019. Passive crowdsourcing of social media in environmental research: A systematic map. Global Environmental Change, 55: 36– 47
https://doi.org/10.1016/j.gloenvcha.2019.02.003
13 Y Guo, Y Li, 2018. Online amplification of air pollution risk perception: The moderating role of affect in information. Information Communication and Society, 21( 1): 80– 93
https://doi.org/10.1080/1369118X.2016.1261170
14 I C Hanigan, M I Rolfe, L D Knibbs, F Salimi, C T Cowie, J Heyworth, G B Marks, Y Guo, M Cope, A Bauman, B Jalaludin, G G Morgan, 2019. All-cause mortality and long-term exposure to low level air pollution in the “45 and up study” cohort, Sydney, Australia, 2006–2015. Environment International, 126: 762– 770
https://doi.org/10.1016/j.envint.2019.02.044 pmid: 30878871
15 S Hankey, G Lindsey, J D Marshall, 2017. Population-level exposure to particulate air pollution during active travel: Planning for low-exposure, health-promoting cities. Environmental Health Perspectives, 125( 4): 527– 534
https://doi.org/10.1289/EHP442 pmid: 27713109
16 W Hong Y Wei S (2021) Wang. Left behind in perception of air pollution? A hidden form of spatial injustice in China. Environment and Planning C: Politics and Space, in press, doi:10.1177/23996544211036145
17 M Liu, Y Huang, Z Ma, Z Jin, X Liu, H Wang, Y Liu, J Wang, M Jantunen, J Bi, P L Kinney, 2017. Spatial and temporal trends in the mortality burden of air pollution in China: 2004–2012. Environment International, 98: 75– 81
https://doi.org/10.1016/j.envint.2016.10.003 pmid: 27745948
18 M Nyhan, S Grauwin, R Britter, B Misstear, A McNabola, F Laden, S R H Barrett, C Ratti, 2016. “Exposure Track”—The impact of mobile-device-based mobility patterns on quantifying population exposure to air pollution. Environmental Science & Technology, 50( 17): 9671– 9681
https://doi.org/10.1021/acs.est.6b02385 pmid: 27518311
19 Y Ou, J J West, S J Smith, C G Nolte, D H Loughlin, 2020. Air pollution control strategies directly limiting national health damages in the US. Nature Communications, 11( 1): 957
https://doi.org/10.1038/s41467-020-14783-2 pmid: 32075975
20 F B Piel, D Fecht, S Hodgson, M Blangiardo, M Toledano, A L Hansell, P Elliott, 2020. Small-area methods for investigation of environment and health. International Journal of Epidemiology, 49( 2): 686– 699
https://doi.org/10.1093/ije/dyaa006 pmid: 32182344
21 J Qin, S Han, 2009. Neurocognitive mechanisms underlying identification of environmental risks. Neuropsychologia, 47( 2): 397– 405
https://doi.org/10.1016/j.neuropsychologia.2008.09.010 pmid: 18845172
22 J G Su, M A Barrett, K Henderson, O Humblet, T Smith, J W Sublett, L Nesbitt, C Hogg, D van Sickle, J L Sublett, 2017. Feasibility of deploying inhaler sensors to identify the impacts of environmental triggers and built environment factors on asthma short-acting bronchodilator use. Environmental Health Perspectives, 125( 2): 254– 261
https://doi.org/10.1289/EHP266 pmid: 27340894
23 C Sun, M E Kahn, S Zheng, 2017. Self-protection investment exacerbates air pollution exposure inequality in urban China. Ecological Economics, 131: 468– 474
https://doi.org/10.1016/j.ecolecon.2016.06.030
24 M Tainio, Andersen Z Jovanovic, M J Nieuwenhuijsen, L Hu, Nazelle A de, R An, L M T Garcia, S Goenka, B Zapata-Diomedi, F Bull, Sá T H de, 2021. Air pollution, physical activity and health: A mapping review of the evidence. Environment International, 147: 105954
https://doi.org/10.1016/j.envint.2020.105954 pmid: 33352412
25 R Tang, L Tian, T Q Thach, T H Tsui, M Brauer, M Lee, R Allen, W Yuchi, P C Lai, P Wong, B Barratt, 2018. Integrating travel behavior with land use regression to estimate dynamic air pollution exposure in Hong Kong. Environment International, 113: 100– 108
https://doi.org/10.1016/j.envint.2018.01.009 pmid: 29421398
26 M M Tsou, S C C Lung, Y S Shen, C H Liu, Y H Hsieh, N Chen, J S Hwang, 2021. A community-based study on associations between PM2.5and PM1 exposure and heart rate variability using wearable low-cost sensing devices. Environmental Pollution, 277: 116761
https://doi.org/10.1016/j.envpol.2021.116761 pmid: 33640827
27 C Vanroy, Y Vanlandewijck, P Cras, H Feys, S Truijen, M Michielsen, D Vissers, 2014. Is a coded physical activity diary valid for assessing physical activity level and energy expenditure in stroke patients?. PLoS One, 9( 6): e98735
https://doi.org/10.1371/journal.pone.0098735 pmid: 24905345
28 J Yang, S Qu, M Liu, X Liu, Q Gao, W He, J S Ji, J Bi, 2021. Gray cityscape caused by particulate matter pollution hampers human stress recovery. Journal of Cleaner Production, 279: 123215
https://doi.org/10.1016/j.jclepro.2020.123215
29 H Yue, C He, Q Huang, D Yin, B A Bryan, 2020. Stronger policy required to substantially reduce deaths from PM2.5 pollution in China. Nature Communications, 11( 1): 1462
https://doi.org/10.1038/s41467-020-15319-4 pmid: 32193475
30 S Zheng, J Wang, C Sun, X Zhang, M E Kahn, 2019. Air pollution lowers Chinese urbanites’ expressed happiness on social media. Nature Human Behaviour, 3( 3): 237– 243
https://doi.org/10.1038/s41562-018-0521-2 pmid: 30953012
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed