Assessment of population exposure to PM2.5 for mortality in China and its public health benefit based on BenMAP: Biases due to spatial auto correlation and the modifiable areal unit problem (MAUP)
| dc.contributor.author | Ayubi, E | |
| dc.contributor.author | Safiri, S | |
| dc.date.accessioned | 2018-08-26T08:35:48Z | |
| dc.date.available | 2018-08-26T08:35:48Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/52680 | |
| dc.description.abstract | [No abstract available] | |
| dc.language.iso | English | |
| dc.relation.ispartof | Environmental Pollution | |
| dc.subject | China | |
| dc.subject | human | |
| dc.subject | Letter | |
| dc.subject | mortality | |
| dc.subject | particulate matter | |
| dc.subject | population exposure | |
| dc.subject | population size | |
| dc.subject | spatial autocorrelation analysis | |
| dc.title | Assessment of population exposure to PM2.5 for mortality in China and its public health benefit based on BenMAP: Biases due to spatial auto correlation and the modifiable areal unit problem (MAUP) | |
| dc.type | Article | |
| dc.citation.volume | 223 | |
| dc.citation.spage | 635 | |
| dc.citation.index | Scopus | |
| dc.identifier.DOI | https://doi.org/10.1016/j.envpol.2017.01.069 |
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