Skip to main content
Download PDF

Scientific and technological contributions of Latin America and Caribbean countries to the Zika virus outbreak

BMC Public Health volume 19, Article number: 530 (2019) Cite this article

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.

Methods

Scientometric and social network analysis methods were used to assess the LAC scientific contribution and potential technological development on ZIKAV up to December 2017. ZIKAV-related publications were retrieved from the Web of Science, Scopus, and PubMed databases. Regionally published articles were obtained from SciELO (Scientific Electronic Library Online) and LILACS (Literature in the Health Sciences in Latin America and the Caribbean) databases. Patent registries were retrieved using Orbit Intelligence and Derwent Innovation. Records from each database were individually downloaded, integrated, standardized and analyzed.

Results

We retrieved 5421 ZIKAV-related publications, revealing a sharp increase from 2015 onwards. LAC countries accounted for 20% of all publications and Brazil was among the top three most central countries in the global network for ZIKAV research. A total of 274 patent families backed up by experimental evidence were retrieved. Only 5% were filed by LAC assignees, all of them based in Brazil. The largest contribution of LAC research was on the clinical manifestations of the ZIKAV infection, along with vector control, which was also the main focus of patents.

Conclusions

Our analysis offered a comprehensive overview of ZIKAV’s research and development and showed that (i) LAC countries had a key role in generating and disseminating scientific knowledge on ZIKAV; (ii) LAC countries have expressively contributed to research on ZIKAV clinical manifestations; (iii) the Brazilian scientific community was potentially very effective in knowledge sharing and diffusion in the ZIKAV research network; (iv) Brazil was the single LAC country filing patents, mostly represented by independent inventors and low-tech patents. The paper advocates the need for a continued interdisciplinary approach to improve LAC countries ability to prevent, prepare for and control future outbreaks.

Peer Review reports

Background

The Zika virus (ZIKAV) was considered harmless until the Guillain-Barré syndrome and other autoimmune complications were shown to be associated with the infection during the French Polynesia outbreak in 2013–2014 [1]. The 2015 Latin America and the Caribbean (LAC) outbreak increased its scientific and public health interest worldwide [2]. Over one million people were infected in the region, with a shocking number of microcephaly cases in fetuses and infants [3, 4]. Given the epidemic extension and the identification of ZIKAV as the causal link of congenital neurodevelopmental defects, the World Health Organization (WHO) recognized the ZIKAV infection as a public health emergency of international concern (PHEIC) [5]. In 2017, it was estimated that the ZIKAV disease was responsible for 2.24 thousand disability-adjusted life years (DALY) globally [6].

Despite significant advances, ZIKAV remains an enduring scientific and technological (S&T) health challenge. So far, the physiopathology and broad spectrum of clinical manifestations have not been completely understood. There is a lack of reliable diagnostic assays, and no vaccine or specific anti-viral treatment available. Though these technological advances are expected shortly [7], ZIKAV is likely to have significant and long-lasting social and economic impacts across LAC [8].

Previous bibliometric studies have shown that scientific publications on ZIKAV have greatly increased in the last few years [9,10,11,12]. However, not much is known about the potential S&T contributions of LAC countries. It has been suggested that expanding the science, technology and innovation base in developing countries, as well as their insertion in research networks, would improve their response and preparedness to emerging health threats of global concern [13]. An assessment of how LAC countries responded to the scientific challenge imposed by the ZIKAV outbreak can provide useful information to the global health community, and guide the prioritization of research and financial investments.

In this paper, ZIKAV-related publications and patents were reviewed to examine: i) LAC’s contribution to the worldwide scientific knowledge production and potential technological development; ii) research areas in which LAC countries mostly contributed; iii) role of LAC countries in the research network; iv) LAC patenting profile. This information is expected to contribute to the discussion of the role of S&T knowledge produced and disseminated regionally to address global health challenges.

Methods

Scientific publication analyses

Data collection and search strategy

ZIKAV-related scientific publications (up to December 2017) were retrieved from three international databases: Web of Science (WoS), Scopus and PubMed. The query was directed to the title, abstract and keywords using the search terms “zika OR zikav OR zikv”. Only articles, reviews, editorials, letters and notes were included in the analysis. Replies, errata, proceedings papers, meeting abstracts, books, and comments on existing papers were excluded.

To account for regional or local publications, data from SciELO (Scientific Electronic Library Online) and LILACS (Literature in the Health Sciences in Latin America and the Caribbean) databases were collected using the same search strategy. SciELO, originally from Brazil, indexes 1456 journals, 86% of them from LAC countries. LILACS covers 918 medicine and health sciences journals from the LAC region. LILACS is maintained by the Latin American and Caribbean Center on Health Sciences Information (BIREME) of the Pan American Health Organization.

Cleaning and standardization of data

Records from each database were downloaded separately and then integrated. Duplicates were removed and the data harmonized into a single dataset using the “data fusion” tool of the VantagePoint software (Search Technology Inc.). The procedure was done separately for Scopus, PubMed and WoS records (hereinafter Global dataset), and then for SciELO and LILACS databases (hereinafter Regional dataset). The Regional dataset was cross-checked with the Global dataset to assess the international coverage of regionally indexed ZIKAV publications and control for potential biases in the assessment of LAC contributions. The Global dataset used is available as Additional file 1.

First authors or co-authors’ affiliation data available in the Global dataset were used to assign publications to their respective countries. Names of institutions were standardized to ensure the correct acknowledgment of their scientific production using the “list clean up” function of the VantagePoint software. The organization-enhanced list produced by the WoS was used as a reference to group departments and institutions.

Thematic mapping and clustering

A combined approach of mapping and clustering was used to provide an overview of research themes present in the Global dataset. Term maps were constructed using the visualization of similarities mapping technique available on the VOSviewer software [14], using the “association strength” measure as proposed by Van Eck and Waltman [15]. In summary, two terms are deemed to be strongly related if they frequently co-occur in publications. In the map, each term is represented by a circle, and the closer they are positioned, the more related they are. The diameter and label size of each circle indicate the number of occurrences of the corresponding term in the title or abstract of publications. A weighted and parameterized variant of modularity-based clustering is used by the software to identify clusters of related terms [16].

Co-authorship network analysis

Authors’ affiliation data available in the Global dataset was used to assess country collaboration dynamics through the analysis of co-authorship networks. In these networks, nodes represent countries, and two or more countries were connected if their members shared authorship of one or more papers. As co-authorship requires reciprocal cooperation among participants, all connections have been considered as non-directional. Visualization of network graphs and statistical analyses were produced with the open-source software Gephi [17].

Countries that had prominent roles in the network were identified by their betweenness centrality, which reflects the extent a node acts as a “bridge” between other nodes [18]. Central countries usually have a broker position as they connect many other nodes, and thus have more access and control over resources, leading knowledge exchange and preventing others from isolation.

Patent analyses

Data collection and search strategy

Patent searches were carried out using Orbit Intelligence (Questel) and Derwent Innovation (Clarivate) commercial databases, between March and August 2018. The search strategy focused on patent applications that had the earliest priority date up to 12/31/2017 filed anywhere in the world. The search included all documents containing “zika OR zikav OR zikv” in their title, abstract or claims. Results from Derwent Innovation were integrated into Orbit Intelligence. An additional file provides the raw dataset retrieved (see Additional file 2).

Grouping patent families

The patent documents were grouped into FamPat patent families, which include documents that are believed to cover the same invention. This grouping is automatically made by Orbit Intelligence and cover, for instance, different stages of an application in a given country or related applications that are filed in different countries.

Cleaning and standardization of data

Patent families were manually reviewed to exclude inventions outside the search scope or not showing experimental evidence related to ZIKAV. Patent assignee names were standardized using Orbit Intelligence grouping functionality. Alternative spellings and subsidiaries were grouped under a single name. Further manual cleaning was conducted to include the research institution’s name when other bodies (i.e., the university’s funding agency, the board of regents or technology transfer office) appeared as the patent assignee.

Identification of R&D country

Inventor and assignee addresses were used to infer where research and development (R&D) took place. If no information on address was available, the earliest priority country was considered (i.e., the country where the first patent application from the respective family was filed).

Markets of interest

Orbit Intelligence’s analysis module lists all countries where protection for the invention was sought (based on country of filing). Only countries where patents were still alive, either granted or pending, were considered for this analysis.

Assignee classification

The assignees were manually classified as “academy” (universities, research institutes, and other not-for-profit entities), “corporate” (companies) or “independent inventors” (assignees with no institutional affiliation). Assignees were accounted for every time they were nominated, even if they appeared in a previous patent family.

Classification of technologies

Technologies were classified using specific international patent codes (CPC – Cooperative Patent Classification and IPC- International Patent Classification) and keywords in the patents’ title. The classification was verified through the review of the full patent description.

Results

LAC countries have greatly contributed to knowledge production on ZIKAV

To assess the contribution of LAC to the worldwide knowledge production on ZIKAV, searches for scientific publications were carried out in international databases: 4232 documents were retrieved from Scopus, 3378 from PubMed and 4001 from the WoS. After data integration, standardization, and treatment, 5421 unique documents were included in the analysis (Global dataset). Scopus and WoS had the highest number of unique records, with approximately 16% of all publications each (see Additional file 3, left panel). Overall, 50% of all publications retrieved were indexed in all three databases.

To evaluate the international coverage of regionally indexed ZIKAV-related publications and control for potential biases in the assessment of LAC contributions, searches were also carried out in regional LAC databases. The search in the regional databases retrieved 193 records from SciELO and 157 from LILACS. After treatment and processing, 237 unique publications were identified (Regional dataset). There was an overlap of 48% between the two databases; 70% of the publications were also indexed in the international databases (see Additional file 3, right panel).

Our data showed a sharp increase in ZIKAV publications over the last years, particularly from 2015 onwards, both worldwide and in LAC countries, (Fig. 1, left panel). Authors from the USA (n = 2169), LAC countries (n = 1086) and China (n = 365) were the most frequent in the period reviewed (Fig. 1, right panel). Brazil was involved in 67% of all LAC publications (n = 729), accounting for 13% of the world’s scientific publications on ZIKAV, followed by Colombia (n = 140), Venezuela (n = 36) and Argentina (n = 35) (Fig. 1, right panel).

Fig. 1
figure 1

ZIKAV 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

Full size image

The top 10 institutions according to the number of published articles are presented in Table 1. Fundação Oswaldo Cruz (Fiocruz), from Brazil, was the most frequent contributor with a total of 243 publications, followed by the University of California, US Centers for Disease Control and Prevention (CDC), Universidade de São Paulo and Harvard University with 222, 220, 149, 147 published articles, respectively (Table 1).

Table 1 Top ten institutions according to the number of published articles on ZIKAV (2007–2017)
Full size table

LAC countries have expressively contributed to research on ZIKAV clinical manifestations

To identify the research areas in which LAC countries mostly contributed, a term map of all publications in the Global dataset was built (Fig. 2a). Frequent terms appearing on titles and abstracts were automatically grouped and color-coded into five broad research areas/clusters. Each cluster represents a research area, identified by ZIKAV-related terms. Starting from the bottom left (yellow cluster) and moving clockwise, these were: i) clinical manifestations (microcephaly, pregnancy, congenital zika syndrome, malformation, abnormality, rash); ii) public health control (pregnant woman, emergency, zika virus disease, community, travel); iii) vector control (Aedes aegypti, species, agent, Aedes albopictus); iv) basic biomedical science (cell, mouse, protein, antibody, structure, gene); v) diagnostics (assay, urine, serum, saliva, sensitivity, PCR).

Fig. 2
figure 2

Term 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

Full size image

Research areas targeted in LAC publications (Fig. 2b) and research areas of other countries (Fig. 2c) are depicted as overlay visualizations of Fig. 2a. In these maps, blue represents a lower score, green an average, and red a higher score of occurrence of a term in publications in relation to the global average. LAC-based scientists have contributed more than the world average to research on “clinical manifestations”, particularly the ones related to effects on newborns. Researchers from other countries mostly contributed to “basic biomedical science” research, particularly cell biology and immunology. “Vector control” was of common interest for both LAC countries and the rest of the world, although their collaboration focused on ZIKAV clinical manifestations (data not shown).

Brazil had a central role in the ZIKAV global research network

The Global dataset was used to build a global research network for ZIKAV. The network involved 156 countries, reflecting the solid international collaborative research efforts for disease control. The top three central countries, according to their betweenness centrality, were the USA, France, and Brazil (Table 2).

Table 2 Top five central countries in the ZIKAV global research network
Full size table

Co-authorship network analyses showed that the USA was the most frequent collaborator of LAC countries (Fig. 3), co-authoring 19% (n = 210) of all LAC publications. Other frequent collaborating countries were the United Kingdom, Germany, and France, (n = 71, n = 34, and n = 30, respectively). Collaboration between LAC countries was not as frequent as expected. Brazilian researchers co-authored 17 publications with Colombian and 14 papers with Mexican authors.

Fig. 3
figure 3

Global 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

Full size image

Brazil was the only LAC country filing patents on ZIKAV

A patent search was carried out to identify and assess LAC countries’ contributions to potential technological development towards ZIKAV. The search resulted in the retrieval of 417 patent families. Each of these contained one or more applications related to an invention, relative to, for instance, applications filed in more than one country. Detailed analysis indicated that only 274 families (65.7%) showed experimental evidence on ZIKAV and were selected for further analyses.

To obtain a general portrait of the inventive activity related to ZIKAV, the number of patent families was plotted by their earliest priority year. In accordance with OECD’s recommendations, the earliest priority year (closest date to the invention) was selected as best indicator of inventive performance [19]. Filings started after 2010 with an increasing number from 2015. Approximately 87% of patent families had the earliest priority date from 2016 onwards (Fig. 4, left panel). LAC countries presented the same overall trend. As patents are usually published 18 months after the earliest priority claimed, it is possible that data for 2017 is not complete. The number of patent families first filed in 2017 should grow considerably when patents filed during and immediately after the 2015–2016 outbreak are published.

Fig. 4
figure 4

Patenting 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

Full size image

To infer where R&D activity took place, patent families were analyzed by inventor and assignee address. International collaboration was very limited, representing less than 3% of all cases. Seventy-five percent of all patent records were originated from assignees based in the USA and China and 5% from Brazilian-based assignees (Fig. 4, right panel). Brazil was the only LAC country filing patents.

The top countries of protection for ZIKAV patents were China, the USA, and Brazil. Canada, South Korea, and Australia follow suit, all with 10 or more live patents. Brazil, Mexico, Uruguay, Argentina, and Colombia were the only LAC countries where patent protection was currently sought (see Additional file 4).

Most patent filings from Brazil came from independent inventors

To provide information on the type of institutions behind inventive activity directed to ZIKAV, assignees were classified as “academy”, “corporate” or “independent inventor”. Overall, 60% of patent family assignees were from academic institutions, whereas 30% were corporate and 10% were independent inventors (Fig. 5a). A separate analysis of the 14 Brazilian patents indicated that 60% were from independent inventors, 27% from academic institutions and 13% from corporations (Fig. 5b).

Fig. 5
figure 5

Distribution 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

Full size image

Collaboration among institutions was limited. Globally, only 16% of patent families had more than one assignee. Most of these were academy-academy collaborations (59%) or academy-corporate (23%). The remaining were collaborations between independent inventors (11%), independent inventors and corporations (2%) or between companies (2%). In the Brazilian set of patents, only one collaboration between academic institutions and one between an independent inventor and a corporation were identified (data not shown).

None of the leading patenting institutions was from Brazil

Assignees with four or more patent families are listed in Table 3. The best-ranked assignees were American (50%), Chinese (44%) and French (6%) institutions. Most of them (81%) were academic organizations. Brazilian assignees filed one patent family each and, therefore, did not appear in the rank.

Table 3 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
Full size table

Vector control was the main subject of Brazilian patents on ZIKAV

To characterize the inventions contemplated by ZIKAV patents, patent families were classified by technological area. Most patent families focused on diagnostic methods (30%), antiviral products (27%), and vaccine development (25%). A lower proportion of inventions (13%) focused on the disease vector. Further classification showed that most of these inventions were insecticides/repellents (53%) and devices for vector control (42%). The category “Other” (5%) included strategies for ZIKAV protein expression or antibody production, drug screening platforms, among others (Fig. 6a). Most patents from academic institutions were directed towards antivirals and diagnostic tests whereas corporations mostly focused on diagnostic tests and vaccines (data not shown).

Fig. 6
figure 6

Classification 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

Full size image

Brazilian patents were mainly related to vector control (85%). From these, 64% encompassed devices for mosquito control, whereas 27% were on insecticides/repellents. One was a transgenic mosquito for vector control. The remaining inventions were a diagnostic test and a pharmaceutical for drug repurposing (Fig. 6b).

Discussion

This study presents a comprehensive review of ZIKAV’s scientific knowledge production and potential technological development by combining the analyses of scientific publications, research networks, and patents. It gives an overview of the global S&T response to ZIKAV infection with special emphasis on LAC countries. The LAC region was the most affected area in the last outbreak and the region is expected to face the greatest public health impacts from ZIKAV disease. The analysis of regional contributions is relevant not only to inform future research and guide investments, but also to assess LAC countries’ potential role in tackling global health threats imposed by emerging diseases [13, 20, 21].

Our analyses confirmed the poor interest in ZIKAV R&D prior to 2015 and the striking S&T response after the LAC epidemics when severe clinical complications were attributed to the infection. WHO’s appeal for the opening of data and research information on ZIKAV was probably among the factors that promoted such a rapid reaction from the scientific community. It directly influenced the scientific communication by encouraging journals to “fast track” ZIKAV-related publications [22]. This increase in R&D activities was also bolstered by the funding made available by several international agencies [23, 24].

A reliable assessment of the LAC region’s scientific contributions in any given area is usually hindered by the use of international databases as unique sources of information [25, 26]. The impact of excluding regional databases is exacerbated by the trend of LAC authors to publish in regional and local journals due to languages barriers and costs of international journals [25]. Our review showed that 70% of all ZIKAV publications indexed in LAC regional databases were also available in the international databases. This indicated that an eventual bias due to low representation of regional articles was potentially reduced in this study. It seems that the global importance given to ZIKAV along with the high incidence of cases in LAC countries urged that knowledge produced regionally was made noticeable globally. Such global interest might also have influenced editorial decisions of international journals [9].

During an epidemic, the role played by countries in a knowledge-generating network is an important parameter for influencing response, decision-making, preparedness, and empowerment. Our analyses showed that scientific efforts from LAC countries, especially from Brazil, had a significant role in the generation of global knowledge on ZIKAV. Brazilian scientists were responsible for seminal work on outbreak characterization [27, 28] and documented the high incidence of microcephaly and the association of ZIKAV infection during pregnancy to newborn malformations [29,30,31,32].

The betweenness centrality analysis identified key countries acting as a “bridge” in the scientific community and suggested a prominent role for Brazil facilitating access to novel information and resources in the network. As a practical example of such role, when international scientists suggested that the 2016 Olympic Games should be put off Brazil because of the “Zika problem” [33], it was a report from Brazilian scientists that brought epidemiological evidence that the epidemic was in decay, and there was no increased risk for disease transmission [34].

In the patent analyses, Brazilian assignees were the single representatives of LAC countries. It should be kept in mind that, given the common delays in the publication of patent filings in the country, the number of patents may be underestimated. Although Brazil’s performance was less expressive than the USA and China, it still had an important position, ahead of patent leaders like South Korea, Germany, and Japan. Its leading position among LAC countries is in accordance with the results obtained in the assessment of scientific publications. Brazil’s small share of ZIKAV patents (5%) seems to be consistent with the publication’s profile, which focused mostly on the clinical manifestations of ZIKAV and vector control, areas that do not necessarily involve technological development. It has been argued that vector control is necessary as an immediate measure for epidemic control, but it should be undertaken in combination with other efforts such as the implementation of an R&D agenda and strengthening social programs and health systems [35].

Brazil also stands out as the main country of protection for the patent families filed in national offices, a natural reflection of the 2015–2016 outbreak. Assignees usually file patents in strategic countries for their inventions, such as the most promising markets, economically important regions, the assignee home country or the home country of potential licensors. Still, almost half of ZIKAV patents were filed via simplified patent systems (the Patent Cooperation Treaty system or the European Patent Office), which offer additional time for assignees to decide in which countries to protect their inventions. Given that most of these patents were filed from 2016 onwards, it is still unknown where protection will be sought for this share of patent families.

The markedly collaborative context in which ZIKAV scientific knowledge was generated was evidenced by the co-authorship network analyses. Indeed, several incentives to facilitate multidisciplinary research collaborations were set after the LAC epidemics, such as virtual databases [36]; the international research consortia ZikAction [37], ZikAlliance [38] and ZikaPlan [39]; the collaborative platforms LabKey Server [40] and the Global Research Collaboration for Infectious Disease Preparedness (GloPID-R) [41], among others. The multidisciplinary collaborative work was crucial to characterize the ZIKAV syndrome, in one of the most rapid and coordinated research responses against an emerging disease to date [42, 43]. In opposition, limited collaboration was evidenced in the patent analyses. However, given the lag time prior to the publication of patent applications, it is possible that the influence of research collaboration will only be observed in the next years.

The patent classification by assignee type evidenced a major role of the academy and academic assignees, as expected from the active response from the scientific community to the 2015–2016 outbreak. Diagnostics was one of the major areas targeted in patent documents, also present in scientific publications.

In Brazil, individuals without affiliation accounted for 60% of the total patent families, whereas the academy was responsible for only 27% of the filings. This may be explained by the focus on vector control, involving the development of low-tech traps and nets, which could possibly be developed without institutional support. According to the WHO, innovative vector control tools that reduce the mosquito population are important technological contributions, amongst the most viable R&D options to help fight the spread of ZIKAV in the immediate future [44].

This study focused on publications and patents, and it may not include all contributions of LAC countries towards ZIKAV prevention, treatment, and control. However, the S&T indicators described herein are considered valuable tools in policy studies as they objectively assess the diffusion and impact of research, and disclose the geographic origin of the contribution. The use of co-authorship data as an indicator of scientific collaboration has limitations, but, in most cases, it indicates active cooperation in addition to the simple exchange of material or information. We recognize that reviewing only patents with experimental evidence could have resulted in an underestimation of the number of ZIKAV patents filed. We believe that the inclusion of all patent documents regardless of experimental evidence would have produced disputed results.

Conclusions

We reviewed scientific publications, patent records, and co-authorship networks to provide a broad scenario of LAC engagement in research and technological development towards ZIKAV prevention, treatment, and control. The information presented herein has value in informing the global health community and policymakers that (i) LAC countries had a key role in generating and disseminating scientific knowledge on ZIKAV, suggesting a strong research capacity; (ii) LAC countries have expressively contributed to research on ZIKAV clinical manifestations, especially the ones related to effects on newborns; (iii) the Brazilian scientific community was potentially very effective in knowledge sharing and diffusion in the ZIKAV research network, indicating a solid capacity to incentivize and coordinate future LAC collaboration; (iv) Brazil was the single LAC country filing patents, mostly represented by independent inventors and low-tech patents, indicating the need to invest in more technologically advanced areas.

Finally, the high population concentration in major LAC cities and the tropical climate suggest that the region remains vulnerable to ZIKAV and other vector-borne diseases. The need for a continued collaborative and interdisciplinary work, as well as long-term support to strengthen local leadership, is critical to improving LAC capability to prepare for, control and prevent future outbreaks.

Abbreviations

LAC:

Latin America and the Caribbean

LILACS:

Literature in the Health Sciences in Latin America and the Caribbean

OECD:

Organisation for Economic Co-operation and Development

R&D:

Research and development

S&T:

Science and technology

SciELO:

Scientific Electronic Library Online

WHO:

World Health Organization

ZIKAV:

Zika virus

References

  1. Ioos S, Mallet H-P, Leparc Goffart I, Gauthier V, Cardoso T, Herida M. Current Zika virus epidemiology and recent epidemics. Med Mal Infect. 2014;44(7):302–7.

    Article  CAS  Google Scholar 

  2. Depoux A, Philibert A, Rabier S, Philippe H-J, Fontanet A, Flahault A. A multi-faceted pandemic: a review of the state of knowledge on the Zika virus. Public Health Rev. 2018;39 Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952415/. [cited 2018 Nov 26].

  3. ECDC. Rapid risk assessment: Zika virus disease epidemic: potential association with microcephaly and Guillain–Barré syndrome - 6th update, 23 May 2016 [Internet]. European Centre for Disease Prevention and Control. 2016 [cited 2018 Mar 28]. Available from: http://ecdc.europa.eu/en/publications-data/rapid-risk-assessment-zika-virus-disease-epidemic-potential-association-4.

  4. Singh RK, Dhama K, Karthik K, Tiwari R, Khandia R, Munjal A, et al. Advances in Diagnosis, Surveillance, and Monitoring of Zika Virus: An Update. Front Microbiol. 2018;8 Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780406/. [cited 2018 Mar 28].

  5. WHO WHO. WHO Director-General summarizes the outcome of the Emergency Committee regarding clusters of microcephaly and Guillain-Barré syndrome [Internet]. WHO. 2016 [cited 2018 Mar 28]. Available from: http://www.who.int/mediacentre/news/statements/2016/emergency-committee-zika-microcephaly/en/.

  6. Kyu HH, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. 2018;392(10159):1859–922.

    Article  Google Scholar 

  7. Diamond MS, Coyne CB. Vaccines in 2017: Closing in on a Zika virus vaccine [Internet]. Nat Rev Immunol. 2017; Available from: https://www.nature.com/articles/nri.2017.132. [cited 2018 Mar 31].

  8. Colón-González FJ, Peres CA, Bernardo CSS, Hunter PR, Lake IR. After the epidemic: Zika virus projections for Latin America and the Caribbean. PLoS Negl Trop Dis. 2017;11(11):e0006007.

    Article  Google Scholar 

  9. Albuquerque PC, Castro MJC, Santos-Gandelman J, Oliveira AC, Peralta JM, Rodrigues ML. Bibliometric indicators of the Zika outbreak. PLoS Negl Trop Dis. 2017;11(1):e0005132.

    Article  Google Scholar 

  10. Delwiche FA. Bibliometric analysis of scholarly publications on the Zika virus, 1952–2016. Sci Technol Libr. 2018;37(2):113–29.

    Article  Google Scholar 

  11. Singh N. Scientometric analysis of research on Zika virus. VirusDisease. 2016;27(3):303–6.

    Article  Google Scholar 

  12. Martinez-Pulgarin DF, Acevedo-Mendoza WF, Cardona-Ospina JA, Rodríguez-Morales AJ, Paniz-Mondolfi AE. A bibliometric analysis of global Zika research. Travel Med Infect Dis. 2016;14(1):55–7.

    Article  Google Scholar 

  13. Vasconcellos AG, Fonseca BPF, Morel CM. Revisiting the concept of Innovative Developing Countries (IDCs) for its relevance to health innovation and neglected tropical diseases and for the prevention and control of epidemics. PLoS Negl Trop Dis. 2018;12(7):e0006469.

    Article  Google Scholar 

  14. van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84(2):523–38.

    Article  Google Scholar 

  15. Van Eck NJ, Waltman L. How to normalize cooccurrence data? An analysis of some well-known similarity measures. J Am Soc Inf Sci Technol. 2009;60(8):1635–51.

    Article  Google Scholar 

  16. Waltman L, van Eck NJ, Noyons ECM. A unified approach to mapping and clustering of bibliometric networks. J Inf Secur. 2010;4(4):629–35.

    Google Scholar 

  17. Bastian M, Heymann S, Jacomy M. Gephi: An Open Source Software for Exploring and Manipulating Networks. In: Third International AAAI Conference on Weblogs and Social Media [Internet]; 2009. Available from: https://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154/1009.

  18. Freeman LC. Centrality in social networks conceptual clarification. Soc Netw. 1979;1(3):215–39.

    Article  Google Scholar 

  19. OECD. OECD Patent Statistics Manual [Internet]. Paris; 2009. Available from: http://www.oecd.org/sti/inno/oecdpatentstatisticsmanual.htm.

  20. Morel CM, Acharya T, Broun D, Dangi A, Elias C, Ganguly NK, et al. Health innovation networks to help developing countries address neglected diseases. Science. 2005;309(5733):401–4.

    Article  CAS  Google Scholar 

  21. Morel CM, Broun D, Dangi A, Elias C, Gardner C, Gupta RK, et al. Health innovation in developing countries to address diseases of the poor. 2005. Available from: https://www.arca.fiocruz.br/handle/icict/14121. [cited 2018 Nov 29].

  22. Dye C, Bartolomeos K, Moorthy V, Kieny MP. Data sharing in public health emergencies: a call to researchers. Bull World Health Organ. 2016;94(3):158.

    Article  Google Scholar 

  23. CDC. Zika Virus [Internet]. CDC. 2014 [cited 2018 Apr 6]. Available from: https://www.cdc.gov/zika/specific-groups/funding.html.

  24. WHO WHO. Zika: Response funding [Internet]. WHO. 2017 [cited 2018 Apr 6]. Available from: http://www.who.int/emergencies/zika-virus/response/contribution/en/.

  25. Meneghini R, Mugnaini R, Packer AL. International versus national oriented Brazilian scientific journals. A scientometric analysis based on SciELO and JCR-ISI databases. Scientometrics. 2006;69(3):529–38.

    Article  CAS  Google Scholar 

  26. Vélez-Cuartas G, Lucio-Arias D, Leydesdorff L. Regional and global science: publications from Latin America and the Caribbean in the SciELO citation index and the web of science. El Prof Inf. 2016;25(1):35–46.

    Google Scholar 

  27. Campos GS, Bandeira AC, Sardi SI. Zika Virus Outbreak, Bahia, Brazil. Emerg Infect Dis. 2015;21(10):1885–6.

    Article  Google Scholar 

  28. Zanluca C, de Melo VCA, Mosimann ALP, dos Santos GIV, dos Santos CND, Luz K, et al. First report of autochthonous transmission of Zika virus in Brazil. Mem Inst Oswaldo Cruz. 2015;110(4):569–72.

    Article  CAS  Google Scholar 

  29. Brasil P, Pereira JPJ, Moreira ME, Ribeiro Nogueira RM, Damasceno L, Wakimoto M, et al. Zika virus infection in pregnant women in Rio de Janeiro. N Engl J Med. 2016;375(24):2321–34.

    Article  Google Scholar 

  30. Garcez PP, Loiola EC, da Costa RM, Higa LM, Trindade P, Delvecchio R, et al. Zika virus impairs growth in human neurospheres and brain organoids. Science. 2016;352(6287):816–8.

    Article  CAS  Google Scholar 

  31. Melo ASO, Malinger G, Ximenes R, Szejnfeld PO, Sampaio SA, de Filippis AMB. Zika virus intrauterine infection causes fetal brain abnormality and microcephaly: tip of the iceberg? Ultrasound Obstet Gynecol. 2016;47(1):6–7.

    Article  Google Scholar 

  32. Calvet G, Aguiar RS, Melo ASO, Sampaio SA, de Filippis I, Fabri A, et al. Detection and sequencing of Zika virus from amniotic fluid of fetuses with microcephaly in Brazil: a case study. Lancet Infect Dis. 2016;16(6):653–60.

    Article  Google Scholar 

  33. Attaran A. Off the podium: why public health concerns for global spread of zika virus means that Rio de Janeiro’s 2016 olympic games must not proceed [Internet]. Harvard Public Health Review; 2016. Available from: http://harvardpublichealthreview.org/off-the-podium-why-rios-2016-olympic-games-must-not-proceed/.

  34. Codeço C, Villela D, Gomes MF, Bastos L, Cruz O, Struchiner C, et al. Zika is not a reason for missing the Olympic games in Rio de Janeiro: response to the open letter of Dr Attaran and colleagues to Dr Margaret Chan, director - general, WHO, on the Zika threat to the Olympic and Paralympic games. Mem Inst Oswaldo Cruz. 2016;111(6):414–5.

    Article  Google Scholar 

  35. Ventura D de FL, Ventura D de FL. Do Ebola ao Zika: as emergências internacionais e a securitização da saúde global. Cad Saúde Pública [Internet]. 2016 [cited 2019 Jan 9];32(4). Available from: http://www.scielo.br/pdf/csp/v32n4/1678-4464-csp-32-04-e00033316.pdf.

  36. Zika Research Projects List [Internet]. Available from: https://www.paho.org/zika-research/. Accessed 15 Dec 2018.

  37. ZIKAction [Internet]. [cited 2018 Nov 29]. Available from: http://zikaction.org/.

  38. Home - ZIKAlliance [Internet]. [cited 2018 Nov 29]. Available from: https://zikalliance.tghn.org/.

  39. ZikaPLAN - From urgent response to long-term capacity [Internet]. [cited 2018 Nov 29]. Available from: https://zikaplan.tghn.org/.

  40. Start Page: /OConnor [Internet]. [cited 2018 Nov 28]. Available from: https://zika.labkey.com/project/OConnor/begin.view.

  41. GloPID-R - Global Research Collaboration for Infectious Disease Preparedness [Internet]. [cited 2018 Nov 28]. Available from: https://www.glopid-r.org/.

  42. Zika, collaboration to characterize a syndrome : Revista Pesquisa Fapesp [Internet]. [cited 2018 Nov 29]. Available from: http://revistapesquisa.fapesp.br/en/2017/06/29/zika-collaboration-to-characterize-a-syndrome/.

  43. Erbelding E, Cassetti C. Zika Virus and Future Research Directions. J Infect Dis. 2017;216(suppl_10):S991–4.

    Article  CAS  Google Scholar 

  44. WHO | Zika R&D [Internet]. WHO. [cited 2018 Nov 28]. Available from: http://www.who.int/blueprint/priority-diseases/key-action/zika/en/.

Download references

Acknowledgments

The authors thank Dr. Fabio Zicker for suggestions and comments on earlier versions of this paper and the “Instituto Nacional de Ciência e Tecnologia de Inovação em Doenças Negligenciadas” (INCT-IDN) for access to the VantagePoint and Orbit Intelligence software.

Funding

Fundação Oswaldo Cruz provided support in the form of salaries for authors AMS, CG, FLF and BPF. Software licenses were funded by the Instituto Nacional de Ciência e Tecnologia de Inovação em Doenças Negligenciadas (INCT-IDN). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Availability of data and materials

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

Author information

Author notes

  1. Alice Machado-Silva and Camila Guindalini contributed equally to this work.

Authors and Affiliations

  1. Centro de Desenvolvimento Tecnológico em Saúde (CDTS), Fiocruz, Rio de Janeiro, Brazil

    Alice Machado-Silva, Camila Guindalini, Fernanda Lopes Fonseca & Bruna de Paula Fonseca

  2. Casa de Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil

    Marcus Vinicius Pereira-Silva

  3. Instituto René Rachou, Fiocruz, Minas Gerais, Brazil

    Alice Machado-Silva

  4. Observatório em Ciência, Tecnologia e Inovação em Saúde da Fiocruz, Rio de Janeiro, Brazil

    Camila Guindalini, Fernanda Lopes Fonseca, Marcus Vinicius Pereira-Silva & Bruna de Paula Fonseca

Authors
  1. Alice Machado-Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Camila Guindalini
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fernanda Lopes Fonseca
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marcus Vinicius Pereira-Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bruna de Paula Fonseca
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

AM-S gathered patent data from source, carried out the analysis and interpretation of data and drafted the manuscript; CG gathered publication data from source, carried out the analysis and participated in study design and coordination; FLF and MVPS carried out publication data analysis and interpretation of data; BPF conceived the study and was responsible for study design, data interpretation, and draft of the initial manuscript. All authors read, revised and approved the final manuscript.

Corresponding author

Correspondence to Bruna de Paula Fonseca.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

ZIKAV-related publications up to December 2017, retrieved from WoS, PubMed, and Scopus. (CSV 1513 kb)

Additional file 2:

ZIKAV-related patents with earliest priority date up to 12/31/2017 (XLSX 1728 kb)

Additional file 3:

Overlap between databases. Left: overlap between PubMed, Scopus, and WoS. Right: Overlap between SciELO, LILACS and the three international databases. (TIF 3429 kb)

Additional file 4:

Markets of interest for ZIKAV. The number of live individual patent counts (FullPat) is shown by country of filing, indicating where protection was sought. Only countries with 2 or more live patents are represented in the main graph. LAC countries are represented in the side graph. Country codes: Argentina (AR), Australia (AU), Belgium (BE), Brazil (BR), Canada (CA), China (CN), Colombia (CO), Europe (EP), France (FR), India (IN), Israel (IL), Japan (JP), Mexico (MX), PCT countries (WO), Philippines (PH), Russia (RU), Singapore (SG), South Korea (KR), Taiwan (TW), United Kingdom (GB), United States (US), and Uruguay (UY). (TIF 2858 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Machado-Silva, A., Guindalini, C., Fonseca, F.L. et al. Scientific and technological contributions of Latin America and Caribbean countries to the Zika virus outbreak. BMC Public Health 19, 530 (2019). https://doi.org/10.1186/s12889-019-6842-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-019-6842-x

Keywords

BMC Public Health

ISSN: 1471-2458

Contact us