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Global Research Activity on Health System Preparedness Against Viral Infectious Disease Outbreaks

Published online by Cambridge University Press:  18 August 2021

Waleed M. Sweileh*
Affiliation:
Department of Physiology, Pharmacology/Toxicology, Division of Biomedical Sciences, College of Medicine and Health Sciences, An-Najah National University, Nablus, Palestine
*
Corresponding author: Waleed M. Sweileh, Email: waleedsweileh@yahoo.com.
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Abstract

Objective:

The present study aimed to give an overview of research publications on health system preparedness against viral infectious disease outbreaks.

Methods:

A bibliometric method was implemented from 2001 to 2020. The studied pathogens were dengue, Ebola, influenza, Zika, Middle East respiratory syndrome (MERS), Severe acute respiratory syndrome (SARS), and coronavirus disease 2019 (COVID-19).

Results:

The search query returned 501 documents. The growth of publications showed a sharp peak in 2020 for COVID-19 and 3 small peaks in 2006, 2009, and 2015 for SARS, influenza, and Ebola, respectively. Of the retrieved documents, 208 (41.5%) were on influenza, 164 (32.7%) were on COVID-19, and 83 (16.6%) were on Ebola. Countries in the region of the Americas (n = 221; 44.1%) returned the majority of the documents, while countries in Latin America and the African region returned the least. The United States (n = 197; 39.3%) had a leading role in this field. The US Centers for Disease Control and Prevention (n = 51; 10.2%) ranked first, followed by the Johns Hopkins University (n = 16; 3.2%). The Disaster Medicine and Public Health Preparedness journal (n = 21; 4.2%) ranked first. International research collaboration was relatively inadequate.

Conclusions:

Research on preparedness against infectious diseases was episodic. Research collaboration needs to be prioritized for countries with a history of fatal outbreaks.

Information

Type
Original Research
Copyright
© Society for Disaster Medicine and Public Health, Inc. 2021
Figure 0

Figure 1.Annual growth of publication on health system preparedness against specific viral infectious disease outbreaks.

Figure 1

Table 1.Top 5 active countries in publishing documents on health system preparedness against viral infectious diseases

Figure 2

Table 2.Top 5 active journals in publishing documents on health system preparedness against viral infectious diseases

Figure 3

Figure 2.Network visualization map of the most frequent author keywords. The retrieved documents had 697 different author keywords. Only those with a minimum of 5 occurrences (n = 39) were visualized. Node size is proportional to the frequency of occurrence. The keywords “preparedness” and “COVID-19” had the highest frequency of occurrences. Related keywords have similar colors, and the distance between nodes reflects the strength of relatedness.

Figure 4

Figure 3.An overlay visualization of the most frequent author keywords. Keywords in yellow were the most recent. In overlay visualization, author keywords were shown based on the time of the appearance in the literature. Keywords with dark purple appeared in the literature before 2012, those with green color appeared between 2013 and 2017, while those with yellow color appeared most recently (after 2018).

Figure 5

Figure 4.Network visualization map of most frequent terms in titles/abstracts of the retrieved documents. Terms with minimum occurrences of 20 times (n = 70 terms) were mapped. Terms with similar colors constitute a cluster with a certain research theme. The map included 3 clusters with different colors. The blue cluster represents publications on preparedness related to Ebola virus in African countries. The red cluster represents publications on preparedness related to influenza. The green cluster represents publications on COVID and hospital preparedness.

Figure 6

Figure 5.Network visualization map of international research collaboration between countries with a minimum of 5 publications. The map included 30 countries. The thickness of a connecting line is a measure of the strength of collaboration between any 2 countries. Countries with similar node colors have common research interests.