| Literature DB >> 31072386 |
Alice Machado-Silva1,2, Camila Guindalini1,3, Fernanda Lopes Fonseca1,3, Marcus Vinicius Pereira-Silva4,3, Bruna de Paula Fonseca5,6.
Abstract
BACKGROUND: The recent Zika virus (ZIKAV) epidemics disclosed a major public health threat and a scientific and technological (S&T) challenge. The lessons learned from the S&T response of Latin America and the Caribbean (LAC) countries are critical to inform further research and guide scientific investments. The present study aimed to assess how new S&T knowledge produced and disseminated regionally can contribute to address global health challenges.Entities:
Keywords: Co-authorship networks; Epidemic; Latin America; Patents; Publications; S&T; Zika
Mesh:
Year: 2019 PMID: 31072386 PMCID: PMC6507135 DOI: 10.1186/s12889-019-6842-x
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1ZIKAV scientific publications indexed in international databases (2007–2017). Left panel: annual number of published articles on ZIKAV; Right panel: top ten most productive countries/regions
Top ten institutions according to the number of published articles on ZIKAV (2007–2017)
| Rank | Institution | Country | Number of records |
|---|---|---|---|
| 1 | Fundação Oswaldo Cruz | Brazil | 243 |
| 2 | University of California | USA | 222 |
| 3 | Centers for Disease Control and Prevention (CDC) | USA | 220 |
| 4 | Universidade de São Paulo | Brazil | 149 |
| 5 | Harvard University | USA | 147 |
| 6 | Institut Pasteur | France | 145 |
| 7 | Hainan Medical University | China | 128 |
| 8 | Johns Hopkins University | USA | 110 |
| 9 | University of Texas System | USA | 109 |
| 10 | Universidade Federal do Rio de Janeiro | Brazil | 97 |
Fig. 2Term map of ZIKAV research. The map shows 1219 terms extracted from titles and abstracts of all ZIKAV publications (Global dataset). The closer two terms are located to each other, the stronger their relation. Each term is represented by a circle. The diameter and label size are proportional to their frequency in titles or abstracts. Each term displayed occurred in at least five publications. a) Colors indicate clusters of terms that have co-occurred more frequently in the dataset. b and c) Colors indicate the degree of occurrence of terms in publications authored by researchers based in LAC (b) or other countries (c), relative to the world average. Blue represents a low occurrence, green average, and red a high occurrence
Top five central countries in the ZIKAV global research network
| Rank | Country | Betweenness centrality |
|---|---|---|
| 1 | USA | 0.113 |
| 2 | France | 0.054 |
| 3 | Brazil | 0.043 |
| 4 | United Kingdom | 0.028 |
| 5 | Switzerland | 0.028 |
Fig. 3Global network of ZIKAV research involving LAC-based authors. Country links were mapped based on the authors’ affiliations. Each node represents one country, and two countries were considered connected if their researchers shared the authorship of a paper. The thickness of links indicates the frequency of collaboration between two nodes. For visualization purposes, only LAC countries collaborations, among themselves or with other countries, are shown. Nodes are color-coded according to the authors’ continent
Fig. 4Patenting dynamics for ZIKAV and R&D origin (up to 2017). Left panel: number of patent families with experimental evidence on ZIKAV by earliest priority year (the year when the first patent in the family was filed). Right panel: number of patent families according to the R&D location. Only countries with three or more patent families are represented
Fig. 5Distribution of ZIKAV patent families by assignee type. Assignees were classified and counted every time they were indicated as patent family assignee, even if they appeared in a previous patent family. a) The overall share of assignee types of the 274 patent families filed worldwide; b) Share of assignee types of the 14 patent families from Brazil
Top assignees of ZIKAV family patents. Only owners of four of more patent families are represented. Families were considered alive if they had at least one member still in force
| Rank | Institution | Country | Number of records |
|---|---|---|---|
| 1 | Chinese Academy of Sciences | China | 10 |
| 2 | US Department of Health & Human Services | USA | 10 |
| 3 | Academy of Military Medical Sciences | China | 7 |
| 4 | Massachusetts Institute of Technology | USA | 6 |
| 5 | Capitalbio | China | 5 |
| 6 | Emory University | USA | 5 |
| 7 | Sun Yat Sen University | China | 5 |
| 8 | Tianjin Int Joint Acad of Biomedicine | USA | 5 |
| 9 | Centre National de la Recherche Scientifique (CNRS) | France | 4 |
| 10 | Harvard University | USA | 4 |
| 11 | Modernatx | USA | 4 |
| 12 | Sinovac | China | 4 |
| 13 | Third People S Hospital of Shenzhen | China | 4 |
| 14 | University of California | USA | 4 |
| 15 | University of Miami | USA | 4 |
| 16 | Southern Medical University | China | 4 |
Fig. 6Classification of ZIKAV patent technologies. a) Overall classification of technologies of the 274 patent families filed worldwide; b) Classification of technologies of the 14 patent families from Brazil. “Vaccine” comprised both prophylactic and therapeutic vaccines