This page has only limited features, please log in for full access.

Unclaimed
Rongxin He
Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, Xi’an 710049, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 16 August 2021 in Healthcare
Reads 0
Downloads 0

As a southwestern province of China, Sichuan is confronted with geographical disparities in access to healthcare professionals because of its complex terrain, uneven population distribution and huge economic gaps between regions. With 10-year data, this study aims to explore the county-level spatial disparities in access to different types of healthcare professionals (licensed doctors, registered nurses, pharmacists, technologists and interns) in Sichuan using temporal and spatial analysis methods. The time-series results showed that the quantity of all types of healthcare professionals increased, especially the registered nurses, while huge spatial disparities exist in the distribution of healthcare professionals in Sichuan. The local Moran’s I calculations showed that high–high clusters (significantly high healthcare professional quantity in a group of counties) were detected in Chengdu (capital of Sichuan) and relatively rich areas, while low–low clusters (significantly low healthcare professional quantity in a group of counties) were usually found near the mountain areas, namely, Tsinling Mountains and Hengduan Mountains. The findings may deserve considerations in making region-oriented policies in educating and attracting more healthcare professionals to the disadvantaged areas.

ACS Style

Ning Zhang; Wei Ning; Tao Xie; Jinlin Liu; Rongxin He; Bin Zhu; Ying Mao. Spatial Disparities in Access to Healthcare Professionals in Sichuan: Evidence from County-Level Data. Healthcare 2021, 9, 1053 .

AMA Style

Ning Zhang, Wei Ning, Tao Xie, Jinlin Liu, Rongxin He, Bin Zhu, Ying Mao. Spatial Disparities in Access to Healthcare Professionals in Sichuan: Evidence from County-Level Data. Healthcare. 2021; 9 (8):1053.

Chicago/Turabian Style

Ning Zhang; Wei Ning; Tao Xie; Jinlin Liu; Rongxin He; Bin Zhu; Ying Mao. 2021. "Spatial Disparities in Access to Healthcare Professionals in Sichuan: Evidence from County-Level Data." Healthcare 9, no. 8: 1053.

Review
Published: 10 May 2021 in Sustainability
Reads 0
Downloads 0

To analyse the prevalence of severe and critical COVID-19 cases and its determinants, a systematic review and meta-analysis were conducted using Review Manager. Four English and two Chinese databases were used to identify and explore the relationships between the severity of COVID-19 and its determinants, with no restrictions on publication date. The odds ratio and 95% CI were combined to assess the influencing level of all factors. Twenty-three articles containing a total of 15,828 cases of COVID-19 were included in this systematic review. The prevalence of severe and critical COVID-19 cases was 17.84% and 4.9%, respectively. A total of 148 factors were identified, which included behavioural, symptom, comorbidity, laboratory, radiographic, exposure, and other factors. Among them, 35 factors could be included in the meta-analysis. Specifically, for example, the male (OR 1.55, 95% CI 1.42–1.69) and elderly (OR 1.06, 95% CI 1.03–1.10) populations tended to experience severe and critical illness. Patients with cough, dyspnea, fatigue, fever, and gastrointestinal symptoms could have severe and critical diseases. Regarding laboratory results, albumin, aspartate aminotransferase, creatinine, D-dimer, fibrinogen, neutrophils, procalcitonin, platelets, and respiratory rate were potential factors that could be used to predict the severity of COVID.

ACS Style

Ning Zhang; Tao Xie; Wei Ning; Rongxin He; Bin Zhu; Ying Mao. The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China. Sustainability 2021, 13, 5305 .

AMA Style

Ning Zhang, Tao Xie, Wei Ning, Rongxin He, Bin Zhu, Ying Mao. The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China. Sustainability. 2021; 13 (9):5305.

Chicago/Turabian Style

Ning Zhang; Tao Xie; Wei Ning; Rongxin He; Bin Zhu; Ying Mao. 2021. "The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China." Sustainability 13, no. 9: 5305.

Journal article
Published: 30 October 2020 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

This study aimed to descript the Belgian COVID-19 responses process according to the WHO’s (World Health Organization) Health Emergency and Disaster Risk Management Framework (Health EDRM Framework) and to present the measures taken and epidemic impact in the different phases of COVID-19 in Belgium. The WHO’s EDRM Framework was used for reviewing the Belgian Public health emergency preparedness and responses in the context of COVID-19. Information on the measures taken was collected through the literature review including all government’s communication, reports, and scientific papers. All epidemic data were extracted from a national open database managed and published by the Sciensano. Additionally, two authors closely followed the Belgian situation since the beginning of the pandemic and updated the data every day. During the COVID-19 pandemic, the anti-epidemic strategy was mainly to avoid medical resources exceeding the upper limit. Belgium issued a series of emergency decrees to limit the spread of the virus. An existing structure of “federal-region-municipal” as the framework of public health emergency preparedness and response was adapted. The emergency response process in Belgium was divided into four phases: information-evaluation-coordination-decision-making at the region level and the final decision-making at the federal level. Belgium also implemented a phased plan in the process of setting up and lifting the lockdown. However, it was vulnerable in early response, due to the shortage of medical equipment supplies in general, and more particularly for the long term care facilities (LTCFs). Belgium has achieved an intensive cooperation between stakeholders based on an existing multisectoral emergency organization framework. Legislation, medical insurance, and good communication also played a role in limiting the spread of viruses. However, the authorities underestimated the risk of an epidemic and did not take quarantine measures among people suspected affected by SARS-COV-2 in the early stages, resulting in insufficient medical equipment supply and a large number of deaths in the LTCF. The implementation of the lockdown measure in Belgium also encountered obstacles. The lockdown and its exit strategy were both closely related to the pandemic situation and social and economic life. The authorities should strengthen information management, improve the public awareness of the measures, and find out the balance points between the social and economic life and infection control measures.

ACS Style

Rongxin He; Jun Zhang; Ying Mao; Olivier Degomme; Wei-Hong Zhang. Preparedness and Responses Faced during the COVID-19 Pandemic in Belgium: An Observational Study and Using the National Open Data. International Journal of Environmental Research and Public Health 2020, 17, 7985 .

AMA Style

Rongxin He, Jun Zhang, Ying Mao, Olivier Degomme, Wei-Hong Zhang. Preparedness and Responses Faced during the COVID-19 Pandemic in Belgium: An Observational Study and Using the National Open Data. International Journal of Environmental Research and Public Health. 2020; 17 (21):7985.

Chicago/Turabian Style

Rongxin He; Jun Zhang; Ying Mao; Olivier Degomme; Wei-Hong Zhang. 2020. "Preparedness and Responses Faced during the COVID-19 Pandemic in Belgium: An Observational Study and Using the National Open Data." International Journal of Environmental Research and Public Health 17, no. 21: 7985.

Journal article
Published: 29 March 2020 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

Nowadays, tuberculosis, scarlet fever, measles, influenza, and mumps are five major notifiable respiratory infectious diseases (RIDs) in China. The objective of this study was to describe, visualize, and compare the spatial-temporal distributions of these five RIDs from 2006 to 2016. In addition to descriptive epidemiology analysis, seasonality and spatial autocorrelation analysis were also applied to explore the epidemiologic trends and spatial changing patterns of the five RIDs, respectively. The results indicated that the incidence of tuberculosis, measles, and mumps presented a downtrend trend, while those of scarlet fever and influenza was in a strong uptrend across the research period. The incidences of the five diseases all peaked in spring. There were significant spatial disparities in the distribution of tuberculosis, scarlet fever, and measles cases, with the hotspots mainly located in the western plateau region, northern plain region, and southern mountainous region. To conclude, notable epidemiological differences were observed across regions, indicating that some provincial units should pay more attention to prevent and control respiratory infectious diseases.

ACS Style

Ying Mao; Rongxin He; Bin Zhu; Jinlin Liu; Ning Zhang. Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis. International Journal of Environmental Research and Public Health 2020, 17, 2301 .

AMA Style

Ying Mao, Rongxin He, Bin Zhu, Jinlin Liu, Ning Zhang. Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis. International Journal of Environmental Research and Public Health. 2020; 17 (7):2301.

Chicago/Turabian Style

Ying Mao; Rongxin He; Bin Zhu; Jinlin Liu; Ning Zhang. 2020. "Notifiable Respiratory Infectious Diseases in China: A Spatial–Temporal Epidemiology Analysis." International Journal of Environmental Research and Public Health 17, no. 7: 2301.

Journal article
Published: 12 September 2019 in International Journal of Environmental Research and Public Health
Reads 0
Downloads 0

Global concerns persist regarding the shortage and misdistribution of health workers in rural and remote areas. Medical education is an important input channel of human resources for health. This study aimed to identify the association between medical graduates' job choices for rural practice and their initial intentions when they began to look for a job in China. Data were extracted from a cross-sectional survey among medical students in ten western provinces in China in 2013. Only medical students who were in the last year of study (i.e., medical graduates) and had found a job were included in this study. Of the 482 participants, 61.04% (293) presented an initial intention of rural practice when they began to look for a job, and 68.88% (332) made a final job choice for rural practice. However, of the 332 graduates with a final job choice of rural practice, only 213 (64.55%) had an initial intention. A univariate association was identified in which medical graduates who were more likely to make final job choices for rural practice were those having initial intentions (OR: 1.59; 95% CI: 1.08-2.36); however, after adjusting for controlled variables, it became insignificant and was reduced to a 1.31-fold increase (95% CI: 0.82-2.07). The initial intentions of medical graduates are not assurance of ultimate job outcomes, and it cannot be deduced that all medical graduates who made a final job choice for rural practice had authentic desires for rural practice. Twenty years of age or below, low-income families, majoring in non-clinical medicine, and studying in a junior medical college or below were associated with medical graduates' final job choices for rural practice. More studies are required on how to translate medical student's intention of rural medical practice into reality and how to retain these graduates via a job choice in rural practice in the future.

ACS Style

Jinlin Liu; Bin Zhu; Ning Zhang; Rongxin He; Ying Mao. Are Medical Graduates' Job Choices for Rural Practice Consistent with their Initial Intentions? A Cross-Sectional Survey in Western China. International Journal of Environmental Research and Public Health 2019, 16, 3381 .

AMA Style

Jinlin Liu, Bin Zhu, Ning Zhang, Rongxin He, Ying Mao. Are Medical Graduates' Job Choices for Rural Practice Consistent with their Initial Intentions? A Cross-Sectional Survey in Western China. International Journal of Environmental Research and Public Health. 2019; 16 (18):3381.

Chicago/Turabian Style

Jinlin Liu; Bin Zhu; Ning Zhang; Rongxin He; Ying Mao. 2019. "Are Medical Graduates' Job Choices for Rural Practice Consistent with their Initial Intentions? A Cross-Sectional Survey in Western China." International Journal of Environmental Research and Public Health 16, no. 18: 3381.

Journal article
Published: 12 December 2018 in BMC Health Services Research
Reads 0
Downloads 0

Health workforce misdistribution leads to severe inequity and low-efficiency in health services in the developing countries. Targeting at China, this research aims to reveal, visualize and compare the geographical distribution patterns of different subtypes of urban and rural health workforce and identify the priority regions for health workforce planning and allocation policies designing. The health workforce density (workforce-to-population ratio) is adopted to represent the accessibility to health workforce in each geographical unit. Besides a descriptive geography of health workforce as a whole, the local indicators of spatial association (LISA) are used to explore the spatial clusters of different subtypes of health workforce, which are visualized by geographical tools. Results reveal that regional disparities and spatial clusters exist in China's health workforce distribution, with different types of workforce exhibiting relatively different spatial distribution characteristics. Besides, huge urban-rural disparities are found in the distribution of health workforce in China. Unexpectedly but intriguingly, most of the high-high and high-low cluster area of urban health workforce are concentrated in the western China (Xinjiang, Xizang etc.), indicating the relative abundant stock of urban health workforce in these units, while the low-low and low-high cluster area of different types of urban health workforce are mainly distributed in middle China. Regarding the rural health workforce, there is an obvious and similar low-low and low-high clustering pattern in western provinces (Sichuan, Yunnan) for the licensed doctors, pharmacists, technologists, which play a critical role in health services delivery. Different types of health workforce displayed distinct spatial distribution patterns, while the misdistribution of rural health workforce imposed more challenges to the Chinese health sector due to its poorer stock and more disadvantaged positions of backward regions (i.e., low-low and low-high cluster area). Subtype-specific and region-oriented health workforce planning and allocation policies are suggested to be made, aiming at the urban and rural health workforce respectively, by prioritizing the identified low-low and low-high cluster areas.

ACS Style

Bin Zhu; Yang Fu; Jinlin Liu; Rongxin He; Ning Zhang; Ying Mao. Detecting the priority areas for health workforce allocation with LISA functions: an empirical analysis for China. BMC Health Services Research 2018, 18, 957 .

AMA Style

Bin Zhu, Yang Fu, Jinlin Liu, Rongxin He, Ning Zhang, Ying Mao. Detecting the priority areas for health workforce allocation with LISA functions: an empirical analysis for China. BMC Health Services Research. 2018; 18 (1):957.

Chicago/Turabian Style

Bin Zhu; Yang Fu; Jinlin Liu; Rongxin He; Ning Zhang; Ying Mao. 2018. "Detecting the priority areas for health workforce allocation with LISA functions: an empirical analysis for China." BMC Health Services Research 18, no. 1: 957.