Evidence Hub

Ticks infected with Crimean-Congo hemorrhagic fever virus (CCHFV): A decision approach systematic review and meta-analysis regarding their role as vectors

H. Nasirian

Travel Medicine and Infectious Disease, 2022

41 citations

Abstract

BACKGROUND

There are many studies present in literature performed to isolate CCHFV from ticks. However, gaps in knowledge for estimating global annual CCHFV infection rates; global CCHFV infection rates and records; CCHFV infection trend in ticks and ticks infested animals; and lack a decision regarding the role of ticks as CCHFV vectors caused to conduct this review.

METHODS

From 605 papers identified, 150 papers were selected to become the study meta-analysis (57 papers), detailed CCHFV infected ticks (63 papers), and systematic review (99 papers) parts.

RESULTS

Since there are no significant differences between the annual tick CCHFV infection rates; tick CCHFV infection rates between continents; and CCHFV infection rates between tick species and gender of ticks, and ticks and tick species infested animals. Given that ticks are considered both as CCHFV reservoirs and vectors. It is possible a little burden of CCHFV in infected ticks in natural enzootic cycles to maintain and disseminate CCHFV in humans. The decision regarding the role of ticks as CCHFV vectors administrated based on the study and a separately literature search regarding the role of ticks as CCHFV vectors; CCHFV infection rates and records; and trend of CCHFV infection records in 31 tick species. The trend of CCHFV infection records in 31 tick species exhibited a decreasing trend indicating the degree and importance of their roles as CCHFV vectors.

CONCLUSIONS

Among 31 CCHFV infected tick species, 15…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free