A systematic review and meta-analysis of the prevalence of tick-borne SFGR in China from 2000 to 2022

Ticks carry and transmit a wide range of pathogens (bacteria, viruses, and protozoa) that pose significant threats to human and animal health worldwide. Only few meta-analyses have been conducted on the distribution of ticks and tick-borne spotted fever group rickettsia (SFGR). Therefore, this study...

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Bibliographic Details
Published in:PLoS neglected tropical diseases 2024-10, Vol.18 (10), p.e0012550
Main Authors: Hu, Yanchao, Yin, Ting, Ma, Wei, Qiu, Jiangwei, Zhang, Jiaxing, Wang, Qingan
Format: Article
Language:English
Subjects:
Animals
Biology and Life Sciences
China - epidemiology
Humans
Medical research
Medicine and Health Sciences
Medicine, Experimental
People and Places
Physical Sciences
Physiological aspects
Prevalence
Research and Analysis Methods
Rickettsia - isolation & purification
Rickettsial diseases
Spotted Fever Group Rickettsiosis - diagnosis
Spotted Fever Group Rickettsiosis - epidemiology
Spotted Fever Group Rickettsiosis - microbiology
Statistics
Tick-borne diseases
Ticks - microbiology
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Summary:Ticks carry and transmit a wide range of pathogens (bacteria, viruses, and protozoa) that pose significant threats to human and animal health worldwide. Only few meta-analyses have been conducted on the distribution of ticks and tick-borne spotted fever group rickettsia (SFGR). Therefore, this study aims to examine the tick species and SFGR positivity in China in order to provide support for further research and improvements in the prevention and control of tick-borne diseases. This systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant Chinese and English studies were retrieved from PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), VIP database, Chinese Biomedical literature database (CBM) and Wanfang database from inception to January 9, 2023. Pooled SFGR positive rate was meta-analyzed using a random effects model and heterogeneity was assessed by the I2 index. Publication bias was also evaluated by funnel plot and Egger's test. The meta-analysis was performed on R studio 4.0.4. Meta-analysis of 57 studies published between 2000 and 2022 involving 39,380 ticks revealed a pooled SFGR positive rate of 21.4% (Q = 6423.74, I2 = 99%, Q-p
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0012550