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La Crosse virus: a scoping review of the global evidence

Published online by Cambridge University Press:  05 December 2018

S. Harding
Affiliation:
Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, ON, Canada
J. Greig
Affiliation:
Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, ON, Canada
M. Mascarenhas
Affiliation:
Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, ON, Canada
I. Young
Affiliation:
School of Occupational and Public Health, Ryerson University, Toronto, ON, Canada
L. A. Waddell*
Affiliation:
Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Guelph, ON, Canada
*
Author for correspondence: L.A. Waddell, E-mail: lisa.waddell@canada.ca
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Abstract

Urbanisation and climate change are altering the pattern of California serogroup viruses in North America. As La Crosse virus (LACV) is the most pathogenic of the California serogroup, it is important to identify changes in distribution, transmission and pathogenesis. A scoping review (ScR) was prioritised to summarise the global evidence on LACV. A comprehensive search strategy was used, identified references were screened for relevance and relevant articles were characterised. Each step was conducted by two independent reviewers using pre-tested forms. Analysis identified areas of research saturation and gaps. The ScR included 481 research articles that were mostly journal articles (78.2%) conducted in North America (90.9%) from 1969 to 2016. Most evidence focused on epidemiology (44.9%), virus characteristics (25.8%), transmission conditions (18.7%) and pathogenesis of LACV in hosts (18.3%). Fewer studies evaluated the accuracy of diagnostic tests (8.7%), the efficacy of treatments (3.5%), prevention and control strategies (3.1%), the economic burden of infection (0.6%) and social impact (0.2%) of LACV. None of the literature predicted the impact of climate change on LACV, nor were any cases reported in Canada. These findings are intended to guide research to close knowledge gaps and inform evidence-based decisions surrounding activities for the prevention and control of LACV.

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Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © The Author(s) 2018
Figure 0

Fig. 1. PRISMA flow diagram of the citations and articles throughout the scoping review process.

Figure 1

Table 1. A heat chart of the La Crosse Virus (LACV) literature by study focus and population category

Figure 2

Table 2. The number of articles reporting risk factors for La Crosse virus (LACV) studied in human (N = 36), animal (N = 3) and vector (N = 5) populations

Figure 3

Table 3. The number and percent of observational studies that examine animal hosts for natural exposure to and/or infection with La Crosse virus (LACV) in the literature (N = 31)

Figure 4

Table 4. The number and percent of articles examining experimental animal models of La Crosse virus (LACV) infection across different study foci (N = 78)

Figure 5

Fig. 2. Bubble chart of the number of human cases of LACV reported in recent years (2007–2016) across affected states in the USA. Note: Case data obtained from a subset of studies from S10 reporting the most reliable data (e.g. CDC available until 2014) and the highest number of LACV cases; a lack of case count for a state after 2014 may represent zero case counts, unreported or unavailable data. Bubble size is proportional to the number of LACV cases. The color gradient is shaded such that green = 1–10 LACV cases, yellow = 11–20 LACV cases, orange = 21–40 LACV cases and red ⩾41 LACV cases per year.

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