Literature DB >> 35712290

Spotlight on Early COVID-19 Research Productivity: A 1-Year Bibliometric Analysis.

Panagiotis Giannos1,2, Konstantinos S Kechagias1,3, Konstantinos Katsikas Triantafyllidis1,4, Matthew E Falagas5.   

Abstract

Coronavirus disease 2019 (COVID-19), one of the most serious public health crises in over a century, has led to an unprecedented surge of publications across all areas of knowledge. This study assessed the early research productivity on COVID-19 in terms of vaccination, diagnosis, treatment, symptoms, risk factors, nutrition, and economy. The Scopus database was searched between January 1, 2020 and December 31, 2020 to initially examine the research productivity on COVID-19, as measured by total publications by the 20 highest-ranked countries according to gross domestic product. The literature search was then refined, and research productivity was assessed across seven major research domains related to COVID-19: vaccination, diagnosis, treatment, symptoms, risk factors, nutrition, and economy. The initial literature search yielded 53,348 publications. Among these, 27,801 publications involved authorship from a single country and 22,119 publications involved authorship from multiple countries. Overall, the United States was the most productive country (n = 13,491), with one and a half times or more publications than any other country, on COVID-19 and the selected domains related to it. However, following adjustment for population size, gross domestic product, and expenditure for research and development, countries of emerging economies such as India along countries of lower population density such as Switzerland, Indonesia, and Turkey exhibited higher research productivity. The surge of COVID-19 publications in such a short period of time underlines the capacity of the scientific community to respond against a global health emergency; however where future research priorities and resource distribution should be placed on the respective thematic fields at an international level, warrants further investigation.
Copyright © 2022 Giannos, Kechagias, Katsikas Triantafyllidis and Falagas.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; bibliometrics; collaborations; coronavirus; international; research productivity; scientometrics

Mesh:

Year:  2022        PMID: 35712290      PMCID: PMC9197383          DOI: 10.3389/fpubh.2022.811885

Source DB:  PubMed          Journal:  Front Public Health        ISSN: 2296-2565


Introduction

In December 2019, 44 cases of viral pneumonia with a characteristic clinical presentation of fever, dry cough, dyspnoea, and severe progressive respiratory distress were reported for the first time in Wuhan, Hubei Province of China (1–3). In January 2020, the Chinese Center for Disease Control and Prevention announced that the etiology of this atypical pneumonia was a novel coronavirus which was then named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (4–6). The disease caused by SARS-CoV2 (COVID-19) was initially declared as a Public Health Emergency of International Concern by the WHO, and in March of 2020, it was classified as a pandemic (7). As in the two preceding outbreaks of coronavirus disease-severe acute respiratory syndrome (SARS) in 2002 and Middle East respiratory syndrome (MERS) in (i.e. 2012, COVID-19) has placed significant pressure to public health structures and caused economic implications worldwide (8, 9). In less than a year, SARS-CoV-2 has spread in more than 190 countries and has resulted in over 76 million confirmed cases with more than 1.7 million deaths (10). Additionally, the global reaction with pandemic mitigation measures has caused a major disruption in economic activity, resulting in the worst recession since the Great Depression (11). In response to this global health emergency, the COVID-19 pandemic has also triggered an unprecedented response from the scientific community (12). The global dissemination of this disease has sparked an explosive increase in scientific output across various research domains to address the unmet need for its control (13–16). Bibliometric analyses, which examine the contribution of countries to a specific research field of the literature by focusing on the statistical appraisal of scholarly output, have gained much attention (17, 18). This is attributed to their ability in predicting research trends across the current and emerging thematic areas and guide the focus of the global literature. Bibliometric studies have been widely applied at multiple scholarly areas with few successfully guiding decision-making across the respective thematic fields (19–21). At present, a plethora of scientometric and bibliometric studies have been published aiming at gaining more insights on the landscape of publications related to COVID-19 (13, 22–26). However, only a small portion of bibliometric analyses have explored temporally the pandemic in terms of research output during the first months (27–30), and additionally, the economic aspect driving scholarly productivity has not been systematically examined. Aiming to fill this gap in the literature and guide future research priorities and resource distribution, we undertook a bibliometric exploration of the literature and assessed the early research productivity on COVID-19 and seven major research domains related to it by the 20 highest-ranked countries according to gross domestic product (GDP).

Materials and Methods

We performed a comprehensive literature search of the Scopus database for publications on COVID-19 from the 20 highest-ranked countries according to GDP (United States, China, United Kingdom, Italy, India, Canada, Australia, Germany, Spain, France, Brazil, Turkey, Netherlands, Switzerland, Saudi Arabia, Japan, South Korea, Mexico, Indonesia, and Russian Federation), published between January 1, 2020 and December 31, 2020. The literature search was performed on a single day (January 12, 2021) to minimize the bias from daily database updates. Publications were limited to peer-reviewed original articles or review articles written in English. The language criterion was applied to ensure that the quality assessment of manuscripts was based on similar processing standards. The search of the literature was ensued by PG and KKT and extracted by KSK and PG. From the initial literature search, we extracted a list of publications that included search terms in their title, abstract, or keywords which best describe COVID-19 terminology, namely “COVID-19” OR “SARS-COV2” OR “Coronavirus” OR “2019-nCoV”. We then performed seven further literature searches focusing on seven major research domains related to COVID-19, namely vaccination, diagnosis, treatment, symptoms, risk factors, nutrition, and economy. From these searches, we extracted a list of publications that included the following search terms in their title, abstract or keywords for the seven research domains: (1) vaccination: “(AND Vaccin*)”, (2) diagnosis: “(AND (Diagnos* OR Test*))”, (3) treatment: “(AND (Treat* OR Therap* OR Pharma* OR Drug*))”, (4) nutrition: “(AND (Nutri* OR Diet* OR Food* OR Supplement*))”, (5) risk factors: “(AND ((Risk* AND Factor*) OR (Predispos* AND Factor*)))”, (6) symptoms: “(AND (Sign* OR Symptom* OR (Clinical AND Present*) OR Manifestation*))”, (7) economy “(AND (Econom* OR Financ* OR Wealth* OR Trad*))” (Supplementary Table S1). The resulting publications were grouped by country based on the country of origin mentioned in the affiliation of the first author. This was applicable to all publications even when these had multiple authors. Lastly, publications which had authorship from multiple countries were classified as collaborations. The raw number of total publications and collaborations (overall and for each of the seven research domains) from each country was then normalized based on average population size, mean GDP, and percentage of GDP for research and development (R&D). This information was based on 2019 figures, or on the latest available data, and was extracted using the World Bank database.

Results

The initial literature search using only COVID-19-specific terms yielded 53,348 publications that met the inclusion criteria. The search was further filtered based on the 20 highest-ranked countries according to GDP, and 49,920 total publications were retrieved (Figure 1). Among these, 27,801 publications involved authorship from a single country and 22,119 publications involved authorship from multiple countries (classed as collaborations) (Figure 2). Overall, the United States had the highest number of total publications, regardless of authorship from single or multiple countries. China and the United Kingdom were observed as the remaining in the three highest-ranked countries.
Figure 1

The world map of early research productivity on COVID-19 by the 20 highest-ranked countries according to gross domestic product.

Figure 2

The proportion of early publications involving authorship from a single country (A) and multiple countries (B) on COVID-19 from the 20 highest-ranked countries according to gross domestic product.

The world map of early research productivity on COVID-19 by the 20 highest-ranked countries according to gross domestic product. The proportion of early publications involving authorship from a single country (A) and multiple countries (B) on COVID-19 from the 20 highest-ranked countries according to gross domestic product. The literature was additionally assessed based on seven major research domains related to COVID-19 (vaccination, diagnosis, treatment, symptoms, risk factors, nutrition, and economy). We observed that the United States dominated across all the selected domains. China, India, Italy, and the United Kingdom were noted as the remaining highest-ranked countries in the aforementioned domains (Table 1, Figures 3, 4).
Table 1

Total number of early publications on selected research domains related to COVID-19 from the 20 highest-ranked countries according to GDP.

Vaccination Diagnosis Treatment Nutrition Risk Factors Symptoms Economy
United States1,0253,7184,8877401,5754,8701,942
China4212,4022,7272431,0233,218838
Japan712713584494339101
Germany15658676784256707275
India6049101,7372492761,455783
United Kingdom3301,2651,6932366381,851881
France9653770474229653179
Italy2391,4781,9722386241,911428
Brazil9840749884190501188
Canada152530761121274748380
Russian Federation38711432355123100
South Korea892923273181324110
Spain90530677103252738200
Australia134430585103224638415
Mexico37123151326813965
Indonesia33101108263114472
Netherlands6827435853121344155
Saudi Arabia1302614055384401133
Turkey7839443649118524114
Switzerland7029037542131326128
Totals3,95914,87019,6692,6286,34419,9547,487

GDP, gross domestic product.

Estimates of GDP were calculated based on 2019 figures, or on latest available data.

Figure 3

Total number (A) and proportion (B) of early publications involving authorship from a single country on COVID-19 from the 20 highest-ranked countries according to gross domestic product.

Figure 4

Total number (A) and proportion (B) of early publications involving authorships from multiple countries on COVID-19 from the 20 highest-ranked countries according to gross domestic product.

Total number of early publications on selected research domains related to COVID-19 from the 20 highest-ranked countries according to GDP. GDP, gross domestic product. Estimates of GDP were calculated based on 2019 figures, or on latest available data. Total number (A) and proportion (B) of early publications involving authorship from a single country on COVID-19 from the 20 highest-ranked countries according to gross domestic product. Total number (A) and proportion (B) of early publications involving authorships from multiple countries on COVID-19 from the 20 highest-ranked countries according to gross domestic product. When the number of total publications was normalized by population, Switzerland ranked highest, followed by the United Kingdom and Australia, while upon GDP, Italy scored highest, followed by the United Kingdom and Turkey. Lastly, when normalized by expenditure on R&D, India dominated, followed by Indonesia and Italy (Table 2).
Table 2

Adjusted early research productivity on COVID-19 from the 20 highest-ranked countries according to GDP.

Average population (thousand) Average GDP (US$ million) R&D expenditure (% GDP) Gross domestic spending on R&D (US$ million) Total publications during the study period Total publications per population (thousand) Total publications per GDP (US$ million) Total publications per spending on R&D (US$ million)
United States328,239.5221,374,418.882.84607,033.5013,4914.110.062.22
China1,397,715.0014,342,902.842.19314,109.576,0950.440.041.94
Japan12,6264.935,081,769.543.26165,665.698470.670.020.51
Germany83,132.803,845,630.033.09118,829.971,8272.200.051.54
India1,366,417.752,875,142.310.6518,688.433,7020.270.1319.81
United Kingdom66,834.402,827,113.181.7248,626.355,0357.530.1810.35
France67,059.892,715,518.272.2059,741.401,6172.410.062.71
Italy60,297.402,001,244.391.4028,017.424,3657.240.2215.58
Brazil211,049.531,839,758.041.2623,180.951,3960.660.086.02
Canada37,589.261,736,425.631.5727,261.882,1515.720.127.89
Russian Federation144,373.541,699,876.580.9916,828.783690.260.022.19
South Korea51,709.101,642,383.224.8178,998.637971.540.051.01
Spain47,076.781,394,116.311.2417,287.041,6733.550.129.68
Australia25,364.311,392,680.591.8726,043.131,9007.490.147.30
Mexico127,575.531,258,286.720.313,900.694400.340.0311.28
Indonesia270,625.571,119,190.780.232,574.144100.150.0415.93
Netherlands17,332.85909,070.402.1619,635.929725.610.114.95
Saudi Arabia34,268.53792,966.840.826,502.338942.610.1113.75
Turkey83,429.62754,411.710.967,242.351,0381.240.1414.33
Switzerland8,574.83703,082.443.3723,693.8890110.510.133.80

Population size, GDP and R&D expenditure estimates were calculated based on 2019 figures, or on latest available data.

GDP, gross domestic product; R&D, research and development.

Adjusted early research productivity on COVID-19 from the 20 highest-ranked countries according to GDP. Population size, GDP and R&D expenditure estimates were calculated based on 2019 figures, or on latest available data. GDP, gross domestic product; R&D, research and development.

Discussion

Our bibliometric study assessed the early research productivity on COVID-19 and seven major research domains related to it (vaccination, diagnosis, treatment, symptoms, risk factors, nutrition, and economy) by the 20 highest-ranked countries according to GDP. Our findings indicated that the United States had the highest number of total publications on COVID-19 and across all seven research domains related to it. However, after normalization based on average population size, mean GDP, and percentage of GDP for R&D, Switzerland, Italy, and India dominated in the number of total publications on COVID-19. Our findings showed that the United States exhibited the highest research productivity and, thus, possibly the greatest contribution in the early scientific progress on COVID-19, responding with publications of extensive scope at an exponentially expanding rate. Concurrently, we also revealed that the United States embraced vastly global efforts against COVID-19, engaging highly with inter-institutional and international collaborations, displaying the highest research productivity in terms of collaborations. Taken together, these findings support that the United States might have adopted an early evidence-based response to reduce the impact of COVID-19 and are closely aligned with the country's expenditure on R&D, which is the largest worldwide. A trend of increased overall research productivity on COVID-19 from two of the BRICS countries (China and India), Italy and the United Kingdom, was observed. BRICS countries have rapidly emerging economies with a constant increase in their average GDP and total health spending per capita since 1980 and 1995, respectively (31). Furthermore, the United Kingdom ranks highest worldwide in the field-weighted citation impact since 2007, a measure of research impact and quality (32). Lastly, an improved performance in Italy's research system has been documented when considering the resources allocated for research, ranking one of the highest in Europe based on number of publications for R&D expenditure (33). Although plausible, these potential explanations become questionable when considering that Italy, India, and the United Kingdom were in the 90th percentile of countries with confirmed COVID-19 cases and deaths worldwide at the time of the study. In fact, Italy and the United Kingdom were also ranked on the 50th percentile in terms of GDP of the included countries, while India was ranked on the latter 25th percentile. On the contrary, China was the second highest-ranked in terms of GDP, with confirmed COVID-19 cases and deaths in the 60th and 78th percentiles, respectively (Organization, 2020). Thus, only China's performance could be reflective of the country's research capacity and its leading role in the early response to the disease. After normalization average population size, mean GDP, and percentage of GDP for R&D, Switzerland, Italy, Indonesia, Turkey, and the United Kingdom exhibited the highest research productivity on COVID-19. Apart from India, Italy, and the United Kingdom which had a leading role against COVID-19 even prior adjustment, countries of lower population density such as Switzerland in Europe and Indonesia and Turkey in Asia rather predominated. In total, these results initially indicate that countries such as Switzerland, Italy, India, Indonesia, and Turkey may have also had strong contribution in the early scientific progress on COVID-19. Thus, our study highlights the impetuous by these countries to compete in R&D against the long-standing research-intensive countries such as the United States, China, and the United Kingdom. Overall, the observed regional distribution in research productivity on COVID-19 and the selected domains related to it may, in reality, be relevant to the context of the epidemic situation and a combination of other determinants such as the governmental policy response, the health infrastructure resilience, the research funding availability, and even the research workforce (34, 35). This study makes a valuable contribution to the literature; however, a variety of limitations relevant to our search strategy, the filter criteria applied, and the protocol of data acquisition employed within the Scopus database exist. Initially, affiliation information of the retrieved publications did not particularly reflect the country in which the research was actually established or conducted, hinting an “overlap” bias in cases of publications with authorships from multiple countries. Although this is an inherent drawback in bibliometric studies, it has been demonstrated that even when a literature search is inflated by collaborative publications, the sensitivity of the search is not significantly affected (36). On the contrary, the filtering criteria applied to our search could have magnified its specificity and, thus, considerably decreased the breadth of suitable publications. In fact, as we adopted a search protocol with a focus on a single literature database (i.e., Scopus) rather than multiple ones (i.e., PubMed and Web of Science), this could have restricted the quantity of eligible publications. Moreover, we did not undertake manual screening of the retrieved publications and thus could not ensure that all the identified articles indeed focused on COVID-19 or the other research domains related to it. Lastly, a large proportion of suitable publications were available only in their original language, and by limiting suitable publications written only in English, we could have underestimated the research output of non-English-speaking countries or of those having non-English journals.

Conclusions

The emergence of COVID-19 has generated an explosive increase in scientific production worldwide across all areas of knowledge, which underlies an unmet need for solutions against one of the most serious public health crises in over a century. Our findings ultimately demonstrated and confirmed a massive output in early COVID-19 publications thus far, higher than any previous outbreak. We identified that countries of emerging economies and of lower population density had increased overall research productivity along the long-standing research-intensive countries such as the United States, China, and the United Kingdom. This could provide insights as to which countries adopted an early evidence-based response to reduce the early impact of COVID-19, and where future research priorities and resource distribution should be placed on the respective thematic fields at an international level prospectively.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.

Author Contributions

PG, KSK, and KKT conceived and designed the study. PG and KKT acquired and collated the data. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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