Evidence map›Paper›PMID 36380331›Full record

ArticleInternational journal for equity in health2022

Spatial effects of air pollution on the economic burden of disease: implications of health and environment crisis in a post-COVID-19 world.

Xiyu Zhang, Qi Xia, Yongqiang Lai, Bing Wu, Wanxin Tian, Wenqing Miao, Xinglin Feng, Ling Xin, Jingying Miao, Nianshi Wang and 6 more

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 1 country.

Xiyu ZhangResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Qi XiaResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Yongqiang LaiResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Bing WuResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Wanxin TianResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Wenqing MiaoResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Xinglin FengSchool of Public Health, Peking University, Beijing, China.
Ling XinDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Jingying MiaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Nianshi WangThe Department of Hospital Offices, Wuxi No.2 People's Hospital, the affiliated Wuxi No.2 People's hospital of Nanjing Medical University, Liangxi District, Wuxi, China.
Qunhong WuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Mingli JiaoResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Linghan ShanDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Jianzhao DuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China.
Ye LiResearch Center of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin, 150086, Heilongjiang, China. liye8459@163.com.
Baoguo ShiDepartment of Economics, School of Economics, Minzu University of China, Beijing, 100081, China. bgshi2008@hotmail.com.
Harbin Medical University · CNMinzu University of China · CNPeking University · CNWuxi No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAir pollution has been identified as related to the diseases of susceptible population, but the spatial heterogeneity of its economic burden and its determinants are rarely investigated. The issue is of great policy significance, especially after the epidemic of COVID-19, when human are facing the joint crisis of health and environment, and some areas is prone to falling into poverty.

methodsThe geographical detector was adopted to study the spatial distribution characteristics of the incidence of catastrophic health expenditure (ICHE) for older adults in 100 rural areas in China at the prefecture-city level. The health factors, sociological factors, policy factors and environmental factors and their interactions are identified.

resultsFirst, most health service factors had strong explanatory power for ICHE whether it interacts with air pollution. Second, 50 single-factor high-risk areas of ICHE were found in the study, but at the same time, there were 21 areas dominated by multiple factors.

conclusionThe different contributions and synergy among the factors constitute the complex mechanism of factors and catastrophic health expenditure. Moreover, during this process, air pollution aggravates the contribution of health service factors toward ICHE. In addition, the leading factors of ICHE are different among regions. At the end, this paper also puts forward some policy suggestions from the perspective of health and environment crisis in the post-COVID-19 world: environmental protection policies should be combined with the prevention of infectious diseases; advanced health investment is the most cost-effective policy for the inverse health sequences of air pollution and infectious diseases such as coronavirus disease 2019 (COVID-19); integrating environmental protection policy into healthy development policy, different regions take targeted measures to cope with the intertwined crisis.

Indexed as

Air PollutionCOVID-19AgedChinaCitiesCost of IllnessFinancial StressHumansAir pollutionCatastrophic health expenditureCOVID-19Economic burden of diseaseHealth servicePolicy

Identifiers

PMID36380331
PMCPMC9664438
OpenAlexW4309436633

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.