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Kang N, Wang R, Lu H, Onyai F, Tang M, Tong M, Ni X, Zhong M, Deng J, Dong Y, Li P, Zhu T, Xue T. Burden of Child Anemia Attributable to Fine Particulate Matters Brought by Sand Dusts in Low- and Middle-Income Countries. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12954-12965. [PMID: 38995993 DOI: 10.1021/acs.est.4c05305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Abstract
Addressing environmental factors has recently been recommended to curb the growing trend of anemia in low- and middle-income countries (LMICs). Fine particulate matter (PM2.5) generated by dust storms were concentrated in place with a high prevalence of anemia. In a multicounty, multicenter study, we analyzed the association between anemia and life-course averaged exposure to dust PM2.5 among children aged <5 years based on 0.65 million records from 47 LMICs. In the fully adjusted mixed effects model, each 10 μg/m3 increase in life-course averaged exposure to dust PM2.5 was associated with a 9.3% increase in the odds of anemia. The estimated exposure-response association was nonlinear, with a greater effect of dust PM2.5 exposure seen at low concentrations. Applying this association, we found that, in 2017, among all children aged <5 years in the 125 LMICs, dust PM2.5 contributed to 37.98 million cases of anemia. Results indicated that dust PM2.5 contributed a heavier burden than all of the well-identified risk factors did, except for iron deficiency. Our study revealed that long-term exposure to dust PM2.5 can be a novel risk factor, pronouncedly contributed to the burden of child anemia in LMICs, affected by land degradations or arid climate.
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Affiliation(s)
- Ning Kang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Ruohan Wang
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Hong Lu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Fred Onyai
- National Environment Management Authority, Kampala 22255, Uganda
| | - Mingjin Tang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Mingkun Tong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Xueqiu Ni
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Meiling Zhong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Jianyu Deng
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Yanjun Dong
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
| | - Pengfei Li
- Institute of Medical Technology, Peking University Health Science Centre, Beijing100083, China
- Advanced Institute of Information Technology, Peking University, Hangzhou 100871, China
| | - Tong Zhu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management, Center for Environment and Health, Peking University, Beijing 100871, China
| | - Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China
- Advanced Institute of Information Technology, Peking University, Hangzhou 100871, China
- State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management, Center for Environment and Health, Peking University, Beijing 100871, China
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Khan Y, Banerjee R. Exposure to air pollution as a risk factor for anaemia: a global scoping review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38461370 DOI: 10.1080/09603123.2024.2327532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 03/03/2024] [Indexed: 03/11/2024]
Abstract
Anaemia is an important global health issue with various factors responsible for its occurrence. Though nutritional deficiency is one of the main causes of the disease, evidence suggests a potential link between long-term exposure to ambient air pollution and an increased risk of developing anaemia. Our scoping review evaluates studies conducted across the world to examine possible associations between anaemia and ambient air pollution. Six databases were searched, 153 sources were identified, and 21 articles were included in the review. Apart from one article which showed no significant effect, studies reported positive associations between anaemia and air pollution. This was true for both indoor and outdoor air pollution, various types of particulate matter exposure, and across demographic groups. The review highlights the importance of recognizing exposure to air pollution as a potential risk factor for anaemia and emphasizes the imperative for focused interventions and policy measures to mitigate air pollution.
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Affiliation(s)
- Yasmin Khan
- Department of Health Management, International Institute of Health Management Research, Dwarka, New Delhi, India
| | - Rupsa Banerjee
- Department of Health Management, International Institute of Health Management Research, Dwarka, New Delhi, India
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Chaudhary E, George F, Saji A, Dey S, Ghosh S, Thomas T, Kurpad AV, Sharma S, Singh N, Agarwal S, Mehta U. Cumulative effect of PM 2.5 components is larger than the effect of PM 2.5 mass on child health in India. Nat Commun 2023; 14:6955. [PMID: 37907499 PMCID: PMC10618175 DOI: 10.1038/s41467-023-42709-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 10/19/2023] [Indexed: 11/02/2023] Open
Abstract
While studies on ambient fine particulate matter (PM2.5) exposure effect on child health are available, the differential effects, if any, of exposure to PM2.5 species are unexplored in lower and middle-income countries. Using multiple logistic regression, we showed that for every 10 μg m-3 increase in PM2.5 exposure, anaemia, acute respiratory infection, and low birth weight prevalence increase by 10% (95% uncertainty interval, UI: 9-11), 11% (8-13), and 5% (4-6), respectively, among children in India. NO3-, elemental carbon, and NH4+ were more associated with the three health outcomes than other PM2.5 species. We found that the total PM2.5 mass as a surrogate marker for air pollution exposure could substantially underestimate the true composite impact of different components of PM2.5. Our findings provide key indigenous evidence to prioritize control strategies for reducing exposure to more toxic species for greater child health benefits in India.
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Affiliation(s)
- Ekta Chaudhary
- Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India
| | - Franciosalgeo George
- Division of Epidemiology, Biostatistics, and Population Health, St John's Research Institute, Bangalore, India
| | - Aswathi Saji
- Division of Epidemiology, Biostatistics, and Population Health, St John's Research Institute, Bangalore, India
| | - Sagnik Dey
- Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India.
- Centre of Excellence for Research on Clean Air, IIT Delhi, New Delhi, India.
- School of Public Policy, IIT Delhi, New Delhi, India.
| | - Santu Ghosh
- Department of Biostatistics, St John's Medical College, Bengaluru, India.
| | - Tinku Thomas
- Department of Biostatistics, St John's Medical College, Bengaluru, India
| | - Anura V Kurpad
- Department of Physiology, St John's Medical College, Bengaluru, India
| | | | - Nimish Singh
- Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India
- TERI, New Delhi, India
| | - Shivang Agarwal
- TERI, New Delhi, India
- Johns Hopkins University, Baltimore, MD, USA
| | - Unnati Mehta
- Harvard T.H. Chan School of Public Health, Boston, USA
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Amegbor PM, Sabel CE, Mortensen LH, Mehta AJ, Rosenberg MW. Early-life air pollution and green space exposures as determinants of stunting among children under age five in Sub-Saharan Africa. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023:10.1038/s41370-023-00572-8. [PMID: 37386059 DOI: 10.1038/s41370-023-00572-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Childhood malnutrition is a major public health issue in Sub-Saharan Africa (SSA) and 61.4 million children under the age of five years in the region are stunted. Although insight from existing studies suggests plausible pathways between ambient air pollution exposure and stunting, there are limited studies on the effect of different ambient air pollutants on stunting among children. OBJECTIVE Explore the effect of early-life environmental exposures on stunting among children under the age of five years. METHODS In this study, we used pooled health and population data from 33 countries in SSA between 2006 and 2019 and environmental data from the Atmospheric Composition Analysis Group and NASA's GIOVANNI platform. We estimated the association between early-life environmental exposures and stunting in three exposure periods - in-utero (during pregnancy), post-utero (after pregnancy to current age) and cumulative (from pregnancy to current age), using Bayesian hierarchical modelling. We also visualise the likelihood of stunting among children based on their region of residence using Bayesian hierarchical modelling. RESULTS The findings show that 33.6% of sampled children were stunted. In-utero PM2.5 was associated with a higher likelihood of stunting (OR = 1.038, CrI = 1.002-1.075). Early-life exposures to nitrogen dioxide and sulphate were robustly associated with stunting among children. The findings also show spatial variation in a high and low likelihood of stunting based on a region of residence. IMPACT STATEMENT This study explores the effect of early-life environmental exposures on child growth or stunting among sub-Saharan African children. The study focuses on three exposure windows - pregnancy, after birth and cumulative exposure during pregnancy and after birth. The study also employs spatial analysis to assess the spatial burden of stunted growth in relation to environmental exposures and socioeconomic factors. The findings suggest major air pollutants are associated with stunted growth among children in sub-Saharan Africa.
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Affiliation(s)
- Prince M Amegbor
- School of Gobal Public Health, New York University, 708 Broadway, New York, NY, 10003, USA.
- Denmark Statistics, Sejrøgade 11, DK-2100, Copenhagen, Denmark.
| | - Clive E Sabel
- Department of Public Health, Bartholins Allé 2, 8000, Aarhus C, Denmark
- The Big Data Centre for Environment and Health (BERTHA), Aarhus University, Bartholins Allé 2, 8000, Aarhus C, Denmark
| | - Laust H Mortensen
- Denmark Statistics, Sejrøgade 11, DK-2100, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Lundbeck A/S, Ottiliavej 9, 2500, Valby, Denmark
| | - Mark W Rosenberg
- Department of Geography & Planning, Queen's University, Kingston, ON, Canada
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Odo DB, Yang IA, Dey S, Hammer MS, van Donkelaar A, Martin RV, Dong GH, Yang BY, Hystad P, Knibbs LD. A cross-sectional analysis of ambient fine particulate matter (PM 2.5) exposure and haemoglobin levels in children aged under 5 years living in 36 countries. ENVIRONMENTAL RESEARCH 2023; 227:115734. [PMID: 36963710 DOI: 10.1016/j.envres.2023.115734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/23/2023] [Accepted: 03/20/2023] [Indexed: 05/08/2023]
Abstract
Low haemoglobin (Hb) concentrations and anaemia in children have adverse effects on development and functioning, some of which may have consequences in later life. Exposure to ambient air pollution is reported to be associated with anaemia, but there is little evidence specific to low- and middle-income countries (LMICs), where childhood anaemia prevalence is greatest. We aimed to determine if long-term ambient fine particulate matter (≤2.5 μm in aerodynamic diameter [PM2.5]) exposure was associated with Hb levels and the prevalence of anaemia in children aged <5 years living in 36 LMICs. We used Demographic and Health Survey data, collected between 2010 and 2019, which included blood Hb measurements. Satellite-derived estimates of annual average PM2.5 was the main exposure variable, which was linked to children's area of residence. Anaemia was defined according to standard World Health Organization guidelines (Hb < 11 g/dL). The association of PM2.5 with Hb levels and anaemia prevalence was examined using multivariable linear and logistic regression models, respectively. We examined whether the effects of ambient PM2.5 were modified by a child's sex and age, household wealth index, and urban/rural place of residence. Models were adjusted for relevant covariates, including other outdoor pollutants and household cooking fuel. The study included 154,443 children, of which 89,904 (58.2%) were anaemic. The country-level prevalence of anaemia ranged from 15.8% to 87.9%. Mean PM2.5 exposure was 33.0 (±21.6) μg/m3. The adjusted model showed that a 10 μg/m3 increase in annual PM2.5 concentration was associated with greater odds of anaemia (OR = 1.098 95% CI: 1.087, 1.109). The same increase in PM2.5 was associated with a decrease in average Hb levels of 0.075 g/dL (95% CI: 0.081, 0.068). There was evidence of effect modification by household wealth index and place of residence, with greater adverse effects in children from lower wealth quintiles and children in rural areas. Exposure to annual PM2.5 was cross-sectionally associated with decreased blood Hb levels, and greater risk of anaemia, in children aged <5 years living in 36 LMICs.
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Affiliation(s)
- Daniel B Odo
- School of Public Health, The University of Queensland, Herston, QLD 4006, Australia; College of Health Sciences, Arsi University, Asela, Ethiopia.
| | - Ian A Yang
- Thoracic Program, The Prince Charles Hospital, Metro North Hospital and Health Service, Brisbane, Australia; UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Sagnik Dey
- Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India; Arun Duggal Centre of Excellence for Research in Climate Change and Air Pollution, Indian Institute of Technology Delhi, New Delhi, India
| | - Melanie S Hammer
- Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, United States
| | - Aaron van Donkelaar
- Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, United States
| | - Randall V Martin
- Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, United States
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, USA
| | - Luke D Knibbs
- School of Public Health, The University of Sydney, Camperdown, NSW 2006, Australia; Public Health Research Analytics and Methods for Evidence, Public Health Unit, Sydney Local Health District, Camperdown, NSW, 2050, Australia
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Adugna DG, Kibret AA, Aragie H, Enyew EF, Dessie G, Melese M, Simegn W, Abebe EC, Admasu FT, Dejenie TA. Prevalence and determinants of anemia among children aged from 6 to 59 months in Liberia: a multilevel analysis of the 2019/20 Liberia demographic and health survey data. Front Pediatr 2023; 11:1152083. [PMID: 37144146 PMCID: PMC10153666 DOI: 10.3389/fped.2023.1152083] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/30/2023] [Indexed: 05/06/2023] Open
Abstract
Background Anemia is a serious worldwide public health issue that happens at any stage of life but primarily affects young kids and pregnant mothers. Although anemia has a significant impact on child health, its magnitude and associated factors in children aged 6-59 months have not been yet studied in Liberia. Therefore, the aim of this study was to identify the prevalence and determinants of anemia in children aged 6-59 months in Liberia. Methods The data was extracted from Liberia Demographic and Health Survey, conducted from October 2019 to February 2020. The sample was obtained using a stratified two-stage cluster sampling technique. An overall weighted sample of 2,524 kids aged 6-59 months was involved in the final analysis. We used Stata version 14 software for data extraction and analysis. A multilevel logistic regression model was employed to identify factors associated with anemia. Variables with a P-value of <0.2 in the bivariable logistic regression analysis were selected as candidates for multivariable analysis. In multivariable analysis, the adjusted odds ratios (AOR) with the 95% confidence interval (CI) were declared as the determinants of anemia. Results The prevalence of anemia in children aged 6-59 months in Liberia was 70.8% [95% CI: 68.9%, 72.5%]. Of these, 3.4% were severe anemia, 38.3% were moderate anemia and 29.1% were mild anemia. Children aged 6-23 and 24-42 months, being stunted, children from households with unimproved toilet facilities, children from households with unimproved water sources, and lack of media (television) exposure were significantly associated with higher odds of anemia. However, using mosquito bed nets, living in the Northwestern and Northcentral region were significantly associated with lower odds of anemia among children 6-59 months. Conclusion In this study, anemia in kids aged 6-59 months in Liberia was a main public health issue. Age of the child, stunting, toilet facility, water source, exposure to television, mosquito bed net use, and region were significant determinants of anemia. Therefore, it is better to provide intervention for the early detection and management of stunted children. Similarly, interventions should be strengthened to address unimproved water sources, unimproved toilet facilities, and lack of media exposure.
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Affiliation(s)
- Dagnew Getnet Adugna
- Department of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
- Correspondence: Dagnew Getnet Adugna
| | - Anteneh Ayelign Kibret
- Department of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Hailu Aragie
- Department of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Engidaw Fentahun Enyew
- Department of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Gashaw Dessie
- Department of Biochemistry, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Mihret Melese
- Department of Human Anatomy, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
| | - Wudneh Simegn
- Department of Social and Administrative Pharmacy, School of Pharmacy, University of Gondar, Gondar, Ethiopia
| | - Endeshaw Chekol Abebe
- Department of Biochemistry, College of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia
| | - Fitalew Tadele Admasu
- Department of Biochemistry, College of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia
| | - Tadesse Asmamaw Dejenie
- Department of Biochemistry, School of Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
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Pang M, Wang J, Jiang X, Li H, Li S, Kong F. The Effects of Living Environment, Health Status of Family Members, and Migrant Elderly following Children’s Attitude about Care on Grandchildren’s Health Status in Weifang, China. CHILDREN 2022; 9:children9091333. [PMID: 36138641 PMCID: PMC9497741 DOI: 10.3390/children9091333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/17/2022] [Accepted: 08/28/2022] [Indexed: 12/03/2022]
Abstract
As urbanization is growing quickly in China, many migrant elderly following children (MEFC) migrate to big cities to care for their grandchildren (grandchildren of MEFC=GMEFC). This study aimed to explore the effects of the living environment, health statuses of family members, and MEFC’s attitude regarding the care of their children (children of MEFC=CMEFC) for their GMEFC on GMEFC’s health statuses in Weifang, China. Multistage cluster random sampling was used to select the participants, and 613 MEFC were included in total. Descriptive analysis, univariate analysis and binary logistic regression were used to investigate the association between the related variables and GMEFC’s health statuses. It was found that 74.9% of the GMEFC had excellent health statuses. The GMEFC who had siblings, the CMEFC with excellent health statuses, and the MEFC with excellent health statuses were more likely to have excellent health statuses. Moreover, the GMEFC who were female, elevators occasionally malfunctioned, the MEFC who were dissatisfied with the CMEFC’s time spent on caring, and the MEFC who did not understand or forgive the CMEFC’s limited time on caring were less likely to have GMEFC with excellent health statuses. The results indicated that a better living environment, better health statuses of family members, and a positive attitude of the MEFC regarding the care of CMEFC for GMEFC would result in a better health status of GMEFC.
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Affiliation(s)
- Mingli Pang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
| | - Jieru Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
| | - Xiaoxu Jiang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
| | - Hexian Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
| | - Shixue Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
| | - Fanlei Kong
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- NHC Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
- Correspondence:
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