| Literature DB >> 32344668 |
Minxi Wang1, Ping Liu1, Rui Zhang1, Zhi Li1, Xin Li1.
Abstract
With the development and deepening of the process of global integration, global health is gaining increasing attention. An increasing number of studies have examined global health from diverse perspectives to promote the realization of global public health. The purpose of this research is to systematically and comprehensively evaluate the knowledge structure, knowledge domain, and evolution trend in the field of global health research. Based on the 14,692 document data retrieved from Web of Science Core Collection from 1996 to 2019, this article carried out a visual analysis of global health research from the perspective of scientific output characteristics, scientific research cooperation networks, keywords, and highly cited literature. The results show that scholars' interest in global health research is increasing, especially after the outbreak of SARS. USA, England, Canada, Australia, and China have the most prominent contributions to global health research. Significant authors, high impact journals and core institutions also identified. The study found that "global health governance", "global health diplomacy", "medical education", "global health education" and "antimicrobial resistance" are the research frontiers and hot spots. This study provides an overview and valuable guidance for researchers and related personnel to find the research direction and practice of global health.Entities:
Keywords: CiteSpace; global health; knowledge map; public health; scientometric study; visualization analysis
Year: 2020 PMID: 32344668 PMCID: PMC7215720 DOI: 10.3390/ijerph17082963
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Research framework.
Figure 2The scientific output from 1996–2019. The number of publications each year is based on the main ordinate axis (the left ordinate), and the cumulative number of publications is based on the secondary axis (right ordinate).
Figure 3Visualization of co-citation journals.
The top 20 journals.
| Rank | Journal | Cited Frequency | Impact Factor | Centrality | H-index |
|---|---|---|---|---|---|
| 1 | LANCET | 7316 | 59.10 | 0.14 | 700 |
| 2 | NEW ENGL J MED | 4552 | 70.67 | 0.17 | 933 |
| 3 | PLOS ONE | 4401 | 2.77 | 0.00 | 268 |
| 4 | JAMA-J AM MED ASSOC | 3121 | 51.27 | 0.09 | 622 |
| 5 | SCIENCE | 3039 | 41.03 | 0.00 | 1058 |
| 6 | NATURE | 2924 | 43.07 | 0.20 | 1096 |
| 7 | P NATL ACAD SCI USA | 2860 | 9.58 | 0.14 | 699 |
| 8 | B WORLD HEALTH ORGAN | 2445 | 6.81 | 0.09 | 148 |
| 9 | PLOS MED | 2393 | 11.04 | 0.02 | 184 |
| 10 | BRIT MED J | 1955 | 27.60 | 0.07 | 392 |
| 11 | SOC SCI MED | 1929 | 3.08 | 0.03 | 213 |
| 12 | J INFECT DIS | 1741 | 5.04 | 0.28 | 231 |
| 13 | AM J PUBLIC HEALTH | 1686 | 5.38 | 0.06 | 236 |
| 14 | CLIN INFECT DIS | 1536 | 9.05 | 0.00 | 303 |
| 15 | J BIOL CHEM | 1529 | 4.10 | 0.50 | 477 |
| 16 | LANCET INFECT DIS | 1432 | 27.51 | 0.00 | 201 |
| 17 | BMC PUBLIC HEALTH | 1263 | 2.56 | 0.00 | 117 |
| 18 | NAT MED | 1229 | 30.64 | 0.06 | 497 |
| 19 | AM J TROP MED HYG | 1224 | 2.31 | 0.05 | 135 |
| 20 | ANN INTERN MED | 992 | 19.31 | 0.00 | 359 |
Figure 4Knowledge map of co-author collaboration network.
The Top 20 authors.
| Code | Author | Quantity | H-index | Centrality | Degree |
|---|---|---|---|---|---|
| 1 | MURRAY C.J.L. | 31 | 120 | 0.04 | 49 |
| 2 | ATUN R. | 28 | 46 | 0.01 | 7 |
| 3 | MCKEE M. | 25 | 94 | 0.04 | 29 |
| 4 | BHUTTA Z.A. | 22 | 18 | 0.03 | 18 |
| 5 | PRATT B. | 20 | 12 | 0.00 | 2 |
| 6 | MACKEY T.K. | 18 | 21 | 0.00 | 1 |
| 7 | LIANG B.A. | 17 | 19 | 0.00 | 1 |
| 8 | HYDER A.A. | 17 | 24 | 0.00 | 1 |
| 9 | MEARA J.G. | 17 | 36 | 0.00 | 10 |
| 10 | CAR J. | 15 | 46 | 0.00 | 7 |
| 11 | LABONTE R. | 15 | 27 | 0.00 | 3 |
| 12 | ADELOYE D. | 14 | 15 | 0.00 | 9 |
| 13 | YAYA S. | 13 | 14 | 0.00 | 1 |
| 14 | LEE K. | 13 | 11 | 0.00 | 3 |
| 15 | CELLA D. | 13 | 122 | 0.00 | 3 |
| 16 | RUDAN I. | 13 | 12 | 0.01 | 16 |
| 17 | ZEILER F.A. | 12 | 15 | 0.00 | 8 |
| 18 | SINGER P.A. | 12 | 58 | 0.00 | 3 |
| 19 | KHANG Y.H. | 11 | 27 | 0.00 | 41 |
| 20 | CAMPBELL H. | 11 | 104 | 0.00 | 8 |
Figure 5Knowledge map of co-institution collaboration network.
The top 20 institutions.
| Rank | Institutions | Publications | Centrality | Degree | HalfLife |
|---|---|---|---|---|---|
| 1 | London Sch Hyg and Trop Med (UK) | 433 | 0.02 | 2 | 10 |
| 2 | Harvard Univ (USA) | 409 | 0.16 | 4 | 11 |
| 3 | Univ Toronto (Canada) | 396 | 0.18 | 11 | 17 |
| 4 | Univ Washington (USA) | 385 | 0.00 | 1 | 12 |
| 5 | Univ Oxford (UK) | 327 | 0.07 | 4 | 16 |
| 6 | WHO | 322 | 0.05 | 2 | 15 |
| 7 | Univ Calif San Francisco (USA) | 305 | 0.10 | 11 | 15 |
| 8 | Johns Hopkins Univ (USA) | 254 | 0.10 | 5 | 12 |
| 9 | UCL (UK) | 242 | 0.02 | 2 | 8 |
| 10 | Univ Melbourne (Australia) | 218 | 0.02 | 2 | 14 |
| 11 | Emory Univ (USA) | 206 | 0.06 | 3 | 9 |
| 12 | Univ Sydney (Australia) | 193 | 0.40 | 7 | 11 |
| 13 | Columbia Univ (USA) | 193 | 0.36 | 8 | 13 |
| 14 | Univ Cape Town (South Africa) | 191 | 0.12 | 7 | 11 |
| 15 | Harvard Med Sch (USA) | 186 | 0.02 | 2 | 2 |
| 16 | Johns Hopkins Bloomberg Sch Publ Hith (USA) | 183 | 0.02 | 2 | 7 |
| 17 | Ctr Dis Control and Prevent (USA) | 180 | 0.00 | 1 | 15 |
| 18 | Yale Univ (USA) | 177 | 0.04 | 3 | 17 |
| 19 | Univ Penn (USA) | 167 | 0.06 | 3 | 12 |
| 20 | Duke Univ (USA) | 166 | 0.04 | 5 | 17 |
Figure 6Knowledge map of the co-country/territory collaboration network.
The top 20 countries.
| Rank | Country | Publications | Percent% | Centrality | Degree | Burst | HalfLife |
|---|---|---|---|---|---|---|---|
| 1 | USA | 6561 | 44.7 | 0.07 | 6 | 6.64 | 19 |
| 2 | ENGLAND | 2365 | 16.1 | 0.04 | 3 | - | 20 |
| 3 | CANADA | 1504 | 10.2 | 0.00 | 1 | - | 18 |
| 4 | AUSTRALIA | 1108 | 7.5 | 0.00 | 1 | - | 18 |
| 5 | PEOPLES R CHINA | 1086 | 7.3 | 0.01 | 3 | - | 17 |
| 6 | GERMANY | 759 | 5.2 | 0.00 | 2 | 7.05 | 18 |
| 7 | SWITZERLAND | 752 | 5.1 | 0.00 | 1 | 6.32 | 17 |
| 8 | INDIA | 635 | 4.3 | 0.00 | 1 | - | 16 |
| 9 | SOUTH AFRICA | 571 | 3.8 | 0.00 | 1 | - | 16 |
| 10 | FRANCE | 549 | 3.7 | 0.16 | 5 | - | 20 |
| 11 | NETHERLANDS | 527 | 3.6 | 0.00 | 2 | - | 19 |
| 12 | ITALY | 520 | 3.5 | 0.00 | 2 | - | 20 |
| 13 | SWEDEN | 425 | 2.8 | 0.02 | 4 | 7.61 | 19 |
| 14 | BRAZIL | 408 | 2.7 | 0.00 | 2 | - | 17 |
| 15 | SPAIN | 398 | 2.7 | 0.02 | 2 | - | 18 |
| 16 | JAPAN | 347 | 2.4 | 0.00 | 3 | - | 11 |
| 17 | SCOTLAND | 346 | 2.3 | 0.04 | 3 | - | 19 |
| 18 | BELGIUM | 333 | 2.3 | 0.17 | 7 | - | 19 |
| 19 | SOUTH KOREA | 308 | 2.1 | 0.00 | 2 | - | 16 |
| 20 | KENYA | 249 | 1.7 | 0.01 | 5 | - | 11 |
Note: Because of the scientific research cooperation between countries, two or more countries may appear in a paper. Therefore, when conducting a national cooperation network analysis, the total number of articles published in all countries is greater than 14692.
List of keywords information.
| Topic | Keyword | Frequency | Centrality | Degree | Burst |
|---|---|---|---|---|---|
| 1 | Global health | 2583 | 0.26 | 13 | - |
| Quality of life | 933 | 0.04 | 5 | 16.81 | |
| Mortality | 712 | 0.09 | 8 | - | |
| Public health | 535 | 0.12 | 7 | - | |
| Survival | 200 | 0.08 | 8 | 3.62 | |
| Health status | 52 | 0.20 | 6 | 13.38 | |
| 2 | Mental health | 50 | 0.00 | 1 | - |
| Infection disease | 779 | 0.11 | 10 | - | |
| Hiv | 368 | 0.11 | 8 | - | |
| Cancer | 355 | 0.07 | 8 | - | |
| Obsity | 348 | 0.02 | 3 | - | |
| Tuberculosis | 334 | 0.12 | 10 | - | |
| Cardiovascular disease | 149 | 0.05 | 3 | 14.94 | |
| Mycobacterium tuberculosis | 130 | 0.03 | 6 | 20.01 | |
| Breast cancer | 112 | 0.05 | 8 | 14.67 | |
| Antibiotic resistance | 39 | 0.00 | 1 | - | |
| Human immunodeficiency virus | 57 | 0.03 | 2 | 9.61 | |
| Climate change | 56 | 0.00 | 1 | - | |
| 3 | Children | 518 | 0.00 | 1 | - |
| Woman | 365 | 0.03 | 4 | - | |
| Student | 37 | 0.00 | 1 | 20.14 | |
| 4 | Developing country | 399 | 0.06 | 6 | 11.81 |
| Afica | 384 | 0.00 | 1 | - | |
| United states | 348 | 0.00 | 2 | - | |
| Middle income country | 62 | 0.00 | 1 | - | |
| 5 | Prevention | 414 | 0.04 | 3 | - |
| Management | 365 | 0.15 | 11 | - | |
| Education | 389 | 0.00 | 1 | - | |
| Cooperation mechanism | 244 | 0.00 | 1 | - |
Figure 7Knowledge map of co-citation literature. The selection criteria for the study of literature co-citation networks is top 50 per slice, and the largest citation sub-network is displayed.
Top 10 cited documents.
| Rank | Frequency | Author | Journal | Year | Burst |
|---|---|---|---|---|---|
| 1 | 173 | Koplan J.P. [ | Lancet | 2009 | 28.81 |
| 2 | 167 | Lozano R. [ | Lancet | 2012 | 43.64 |
| 3 | 142 | Murray C.J.L. [ | Lancet | 2012 | 38.32 |
| 4 | 130 | Lim S.S. [ | Lancet | 2012 | 20.82 |
| 5 | 116 | Frenk J. [ | Lancet | 2010 | 26.74 |
| 6 | 115 | Crump J.A. [ | AM J TROP MED HYG | 2010 | 21.09 |
| 7 | 110 | Drain P.K. [ | ACAD MED | 2007 | 29.31 |
| 8 | 105 | Jamison D.T. [ | Lancet | 2013 | 22.87 |
| 9 | 92 | Meara J.G. [ | Lancet | 2015 | 34.16 |
| 10 | 89 | Naghavi M. [ | Lancet | 2015 | 25.82 |
Figure 8Knowledge map of literature cluster. In CiteSpace, clusters are named by citing the keywords of the literature, and the log-likelihood algorithm (LLR) used.
Summary table of cluster information.
| Cluster ID | Size | Silhouette | Mean (Year) | Label (LLR) |
|---|---|---|---|---|
| 0 | 162 | 0.719 | 2006 | Global health governance; Global health diplomacy |
| 1 | 127 | 0.827 | 2013 | Status epilepticus; Antimicrobial resistance |
| 2 | 66 | 0.889 | 2008 | Medical education; Global health education |
| 4 | 50 | 0.972 | 2001 | Hepatitis c virus; Peptide inhibitors |
| 5 | 47 | 0.999 | 1996 | Quality of life; |
| 7 | 44 | 0.981 | 2001 | Susceptibility; Gene |
| 8 | 41 | 0.943 | 2003 | Energy balance; Adipose tissue; Appetite |
| 9 | 40 | 0.963 | 2001 | Subunit vaccine; Interferon-gamma |
| 11 | 35 | 0.946 | 2005 | Mycobacterium tuberculosis |
| 13 | 23 | 0.967 | 2004 | Mental illness; Mental health |
| 14 | 20 | 0.991 | 2014 | Zika Virus; Zika fever |
| 15 | 20 | 0.997 | 2003 | Bcg; Vaccine |
| 17 | 18 | 0.98 | 2005 | Mudpit proteomics; Egg secretome |
| 21 | 14 | 0.994 | 2001 | Community impact; |
| 25 | 10 | 1 | 2005 | Asthma; Rhintis |
| 31 | 8 | 0.997 | 2000 | Health services; |
| 62 | 3 | 0.998 | 2007 | General practitioner; Intervention strategies |
Note: The silhouette value is the parameter used by CiteSpace software to evaluate the clustering effect. Specifically, the evaluation of clustering measuring the homogeneity of the network. The closer the silhouette value is to 1, the higher the homogeneity of the network and the clustering results with high reliability are greater than 0.7.
Figure 9Knowledge map of co-occurrence categories.
The top 10 subject categories.
| Rank | Category | Frequency | Centrality | Burst |
|---|---|---|---|---|
| 1 | Public, Environmental, and Occupational Health | 2670 | 0.21 | - |
| 2 | General and Internal Medicine | 1155 | 0.29 | - |
| 3 | Health Care Sciences and Services | 1105 | 0.43 | 7.06 |
| 4 | Medicine, General, and Internal | 1047 | 0.01 | 3.33 |
| 5 | Infectious Diseases | 867 | 0.19 | 7.75 |
| 6 | Pharmacology and Pharmacy | 815 | 0.28 | - |
| 7 | Immunology | 783 | 0.73 | - |
| 8 | Science and Technology-other topics | 776 | 0.03 | - |
| 9 | Oncology | 773 | 0.47 | 3.35 |
| 10 | Health Policy and Services | 683 | 0.03 | - |
Figure 10A comprehensive knowledge map in the global health research field: 1996–2019.