Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-13T04:08:03.895Z Has data issue: false hasContentIssue false

Severe fever with thrombocytopenia syndrome virus: a systematic review and meta-analysis of transmission mode

Published online by Cambridge University Press:  30 September 2020

X. Y. Huang
Affiliation:
Henan Province Center for Disease Control and Prevention, Zhengzhou, China Henan Key Laboratory of Pathogenic Microorganisms, Zhengzhou, China
Z. Q. He
Affiliation:
College of Public Health, Zhengzhou University, Zhengzhou, China
B. H. Wang
Affiliation:
College of Public Health, Zhengzhou University, Zhengzhou, China
K. Hu
Affiliation:
Henan Academy of Medical Sciences, Zhengzhou, China
Y. Li
Affiliation:
Henan Province Center for Disease Control and Prevention, Zhengzhou, China Henan Key Laboratory of Pathogenic Microorganisms, Zhengzhou, China
W. S. Guo*
Affiliation:
Henan Province Center for Disease Control and Prevention, Zhengzhou, China
*
Author for correspondence: W. Guo, E-mail: gwscdc@126.com
Rights & Permissions [Opens in a new window]

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is a disease with a high case-fatality rate that is caused by infection with the SFTS virus (SFTSV). Five electronic databases were systematically searched to identify relevant articles published from 1 January 2011 to 1 December 2019. The pooled rates with 95% confidence interval (CI) were calculated by a fixed-effect or random-effect model analysis. The results showed that 92 articles were included in this meta-analysis. For the confirmed SFTS cases, the case-fatality rate was 0.15 (95% CI 0.11, 0.18). Two hundred and ninety-six of 1384 SFTS patients indicated that they had been bitten by ticks and the biting rate was 0.21 (95% CI 0.16, 0.26). The overall pooled seroprevalence of SFTSV antibodies among the healthy population was 0.04 (95% CI 0.03, 0.05). For the overall seroprevalence of SFTSV in animals, the seroprevalence of SFTSV was 0.25 (95% CI 0.20, 0.29). The infection rate of SFTSV in ticks was 0.08 (95% CI 0.05, 0.11). In conclusion, ticks can serve as transmitting vectors of SFTSVs and reservoir hosts. Animals can be infected by tick bites, and as a reservoir host, SFTSV circulates continuously between animals and ticks in nature. Humans are infected by tick bites and direct contact with patient secretions.

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Introduction

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that is caused by SFTS virus (SFTSV) [Reference Yu1]. From 2010 to 2016, more than 5000 confirmed SFTS cases have been reported in at least 23 provinces of mainland China, and the case-fatality rate of SFTS infection was 5.3% [Reference Zhu2, Reference Zhan3]. SFTS cases have also been reported in South Korea, Japan and Vietnam, and a similar disease has occurred in the USA [Reference Kim4Reference McMullan7]. Due to the heavy burden, lack of vaccines, effective therapies and high-fatality rates, the disease has become an important health issue.

Some SFTS patients had been bitten by ticks before the onset of illness [Reference Deng8]. Animals might be a reservoir host in the life cycle of SFTSV in nature [Reference Huang9]. SFTSV has been isolated successfully from some ticks [Reference Luo10]. Until now, the natural transmission mode of SFTSV among humans, hosts and vectors has remained unclear.

In this study, we systemically reviewed three aspects of SFTS: SFTS cases and asymptomatic infections (human level), seroprevalence and SFTSV infection rates in animals (animal level), and SFTSV positivity rate in ticks and vertical transmission among ticks (tick level). Thereafter, the incidence rate of SFTS in the healthy population, the positive ratio of anti-SFTSV antibodies in animals and the infection rate of SFTSV in ticks were calculated to study the transmission mode of SFTSV. This mode of transmission was beneficial for blocking the transmission route and reducing the incidence of SFTS.

Materials and methods

This systematic review followed the guidelines provided in the Cochrane Collaboration and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The PRISMA checklist is included in the Supporting Information.

Search strategy

An electronic search of the Chinese National Knowledge Infrastructure databases and the Wan Fang Data, PubMed, Web of Science and Embase databases was performed for all eligible papers (published from 1 January 2011 until 1 December 2019; English and Chinese publications) using a range of search strings ('severe fever with thrombocytopenia syndrome’ or ‘SFTS’ or ‘fever, thrombocytopenia and leukopenia syndrome’ or ‘FTLS’ or ‘severe fever with thrombocytopenia syndrome virus’ or ‘SFTSV’ or ‘fever, thrombocytopenia and leukopenia syndrome virus’ or ‘FTLSV’ or ‘Huaiyangshanvirus’ or ‘HYSV’ or ‘New bunyavirus’ or ‘NBV’ or ‘Dabie mountain virus’ or ‘DBMV’ or ‘Dabie bandavirus’ or ‘Huaiyangshan banyangvirus’ or ‘BHAV’). Additional studies obtained from the references of the original articles were also included.

Eligibility criteria

The article had been accepted for publication with full text available and should meet one of the following conditions: (1) SFTS patients must be confirmed and baseline information could be extracted, (2) people who had an asymptomatic infection were confirmed by SFTSV antibodies (IgM and IgG), (3) animals were confirmed by SFTSV antibodies or RNA and (4) transmission medium was confirmed by SFTSV RNA. Exclusion criteria included abstracts, conferences, letters, reviews, duplicated publications, and overlapping data sets.

SFTS patients mentioned in the selected studies were confirmed as meeting one or more of the following criteria: (1) the virus was isolated from the patient's samples, (2) SFTSV RNA was detected in the patient's serum and (3) a fourfold or greater increase in antibody titres was detected between paired patient serum samples collected from the acute and convalescent phases of infection.

Data extraction and quality assessment

For this meta-analysis, the following information was extracted from every eligible article: first author, year of publication, country, province; year of admitted patients, confirmed cases, death number, test method, and patients' age (SFTS patients); investigation time, sample size and the number of asymptomatic infected people with SFTSV (asymptomatic infections); sampling time and sample size of infected animals; sampling time of transmission medium and testing result.

The included studies were assessed using Study Quality Assessment Tools provided by the National Institute of Health [11], which consisted of good, fair and poor. Based on the quality assessment for studies, we evaluated the articles' quality.

Statistical analysis

The statistical analyses were performed using SPSS 13.0 software (SPSS, Inc., Chicago, IL), R software (version 4.0.0), and STATA version 12.0 (STATA Corporation, College Station, Texas, USA) [Reference Luo12, Reference Wang13]. Means and s.d. were calculated to describe continuous variables with normal distribution, medians and ranges or interquartiles were calculated to describe the abnormal distribution. Each study calculated the event rates and proportions with confidence limits by the R software package [Reference Luo12]. The χ 2 test was used for comparison between groups, Cochran Q and I2 statistics were used to assess the heterogeneity among the studies [Reference Higgins14]. A Cochran Q test with a P-value of <0.05 was considered to be statistically significant. An I2 value of more than 75% indicated high heterogeneity, and then a random-effect model was used. Otherwise, a fixed-effect model was performed. In some circles, researchers tended to start with the fixed-effect model, and then switched to the random-effects model if there was a compelling reason to do so [Reference Michael15]. Because of the high heterogeneity, a random effects model was more suitable when combining results from the studies. A leave-one-out sensitivity analysis was carried out to assess the impact of each study on the overall pooled estimate. Publication bias was appraised using Begg's test or Egger's test [Reference Egger16, Reference Begg17]. A P-value of <0.05 was considered statistically significant.

Results

Literature search

A total of 4273 articles were retrieved through the database searches. A total of 2704 articles were excluded because they were duplicates and 1362 irrelevant studies were removed. Then, a total of 207 articles were evaluated for eligibility. A total of 115 studies were excluded for the following reasons: lack of some indicators, failure to extract data and overlapping data. For the same province, we selected documents with a large span of years and a large number of cases. After close scrutiny, 92 studies were included (Fig. 1).

Fig. 1. Flow chart of the study selection process in this meta-analysis.

Study characteristics and quality assessment

The basic characteristics of the included studies and the quality assessment of the results are shown in Tables 1–5. These studies were published between 2011 and 2019 and carried out in three countries with different geographical locations. Sixty-nine studies were performed in China, 16 studies were conducted in South Korea and seven studies were conducted in Japan. The quality of the assessment result, based on the Study Quality Assessment Tools, is shown in 15 studies that were of high quality, 10 studies were of poor quality and 76 studies were of moderate quality.

Table 1. Basic characteristics of SFTS patients

Abbreviations: NA, not available; JS, Jiangsu; HB, Hubei; SD, Shandong; LN, Liaoning; HN, Henan; ZJ, Zhejiang; SX, Shaanxi; AH, Anhui; RT–PCR, reverse transcription–polymerase chain reaction; IFA, immunofluorescence assay; ELISA, enzyme-linked immunosorbent assay.

a Values the mean (s.d.).

b Values are listed as median (ranges).

c Values are listed as median (interquartiles).

Table 2. Basic characteristics of person-to-person transmission

Abbreviations: NA, not available; RT–PCR, reverse transcription–polymerase chain reaction; IFA, immunofluorescence assay; ELISA, enzyme-linked immunosorbent assay; HCW: health care worker.

Table 3. Characteristics of asymptomatic infected persons

Abbreviations: ELISA, enzyme-linked immunosorbent assay; D-ELISA, double-antigen sandwich enzyme-linked immunosorbent assay; I-ELISA, indirect enzyme-linked immunosorbent assay.

Table 4. SFTSV seroprevalence in animals

Abbreviations: ELISA, enzyme-linked immunosorbent assay; D-ELISA, double-antigen sandwich enzyme-linked immunosorbent assay; I-ELISA, indirect enzyme-linked immunosorbent assay; IFA, immunofluorescence assay; I-IFA, indirect immunofluorescence assay.

Table 5. SFTSV tick infections rates and vertical transmission characteristics

SFTS cases and asymptomatic infections

Epidemiology of SFTS patients

As shown in Table 1, 27 studies were included in the meta-analysis. A total of 7554 confirmed cases were collected from these studies. The geographical distribution was mainly in China (Zhejiang, Liaoning, Henan, Shandong, Jiangsu, Anhui, Hubei province), Japan and South Korea (Fig. 2A). SFTS showed strong seasonality, the cases were mainly reported from April to October and peaked between May and July, and cases during those three months accounted for 54.39% (3792/6972) of all cases (Fig. 2B). Of the 7409 cases, 47.52% (3521/7409) were male and 52.48% (3888/7409) were female. The median age of the patients was 61 years old (range: 11–89). The case-fatality rate was 0.15 (95% CI 0.11, 0.18) and the vast majority of the cases were farmers (82.89%, 4307/5196), including agricultural and forest workers living in rural areas (Fig. 3A). A total of 296 of 1384 SFTS patients indicated that they had been bitten by ticks, the biting rate was 0.21 (95% CI 0.16, 0.26), and the result showed statistically significant heterogeneity (I 2 = 77.0%, P < 0.001) (Fig. 3B).

Fig. 2. (a) Geographic distribution of SFTS in mainland China. (b) Seasonal distribution of published studies on case occurrence. (c) Age distribution of asymptomatic infections. (d) The relationships between collected ticks and number of published studies. The horizontal ordinate represented the month and the ordinate represented the number of studies that meet the requirements (b and d). The horizontal ordinate represented the age group and the ordinate represents the number of asymptomatic infections (c).

Fig. 3. Forest plots of the meta-analysis on a panel of prevalence. (a) The pooled case-fatality rate of SFTS. (b) The pooled biting rate by ticks. (c) The overall seroprevalence of SFTSV among the healthy population. (d) The overall seroprevalence of total antibodies against SFTSV in animals. (e) Infection rate of SFTSV in ticks.

Person-to-person transmission

Person-to-person transmission of SFTSV was mostly reported in hospitals from China, Japan or South Korea. According to epidemiological investigations and laboratory analyses, 12 studies reported that SFTSV could be transmitted from person to person by contact with blood or bloody respiratory secretions, especially in inadequately protected people (Table 2). There were 84 secondary patients, but only three tertiary patients were described or found in articles. All 27 studies with 7554 confirmed patients tried to find the index cases but did not describe them in these articles.

Asymptomatic infections

The 28 403 blood samples in 25 studies from 2011 to 2019 were collected from healthy people. These were a random sample of healthy people from some populations in each study. Through collecting serum of healthy people and testing their IgM and IgG, we could calculate the overall pooled seroprevalence of SFTSV antibodies among the healthy population. Based on the data extractability, 24 075 healthy people, including 11 647 males and 12 428 females (male to female ratio: 0.94:1), were extracted from 17 studies. Among healthy people (24 075), 5059 had clear occupational descriptions in these studies and 3999 (79.05%) of them were farmers (Table 3).

A total of 931 healthy people were tested positive for SFTSV antibodies, 449 (48.23%) cases were male and 482 (51.77%) cases were female, there was no significant difference between the male and female groups (t = −0.202, P = 0.84). The participants were grouped by decades and the results showed that a large number of asymptomatic infections were 60–70 years (Fig. 2C). In addition, the overall pooled seroprevalence of SFTSV antibodies among the healthy population in the random-effect model was 0.04 (95% CI 0.03, 0.05) (Fig. 3C).

Seroprevalence and SFTSV infection rates in animals

The seroprevalence of SFTSV in animals

We analysed 30 studies to determine the overall seroprevalence of SFTSV in animals (Table 4). These included studies that did not describe the sampling method but just described that animal serums were collected at the survey site (there were SFTS cases nearby) for laboratory testing of IgM and IgG. The overall seroprevalence of SFTSV in animals was 0.25 (95% CI 0.20, 0.29) and is displayed as a forest plot in Figure 3D. The goats and sheep were 0.49 (95% CI 0.34, 0.65) and 0.42 (95% CI 0.31, 0.57) in cattle, 0.16 (95% CI 0.10, 0.22) in chickens, 0.26 (95% CI 0.17, 0.35) in dogs and 0.04 (95% CI 0.01, 0.07) in pigs. The χ 2 test was used for comparison of the seroprevalence in different animals and there was a statistically significant difference in the positivity rates of these animals (χ 2 = 1204.92, P < 0.001). The seroprevalences of SFTSV in goats and cattle were higher than those in animals.

The positivity rates of SFTSV RNA in animals

In our included studies, RT–PCR was used to detect SFTSV RNA in these animals. Fourteen articles reported that the infection rates of SFTSV RNA in animals ranged from 0.23 to 26.31%. The positivity rates of SFTSV RNA detected in sheep and goats were 0.03 (95% CI 0.01, 0.04), 0.04 (95% CI 0.01, 0.08) in cattle, 0.02 in chickens, 0.03 in dogs, 0.02 in pigs, 0.02 (95% CI 0.01, 0.04) in shrews, 0.02 in yellow weasels, 0.03 in hares, 0.01 (95% CI 0.00, 0.02) in deer and 0.02 (95% CI 0.01, 0.03) in rodents. There were statistically significant differences in the positivity rates of different animals (χ 2 = 31.97, P < 0.001), and the positivity rate of SFTSV RNA in cattle was higher than that in goats (χ 2 = 4.49, P = 0.03). Twenty-three strains of the virus were isolated from animal specimens in eight articles, including cattle, dogs, rodents, shrews, water deer, wild boars, goats, sheep, yellow weasels, and hedgehogs.

SFTSV positivity rate in ticks and vertical transmission

The infection rate of SFTSV in ticks

A total of 4598 ticks were included in 13 studies. These included studies that did not describe the sampling method but just described that ticks were collected at the survey site (there were SFTS cases nearby) for laboratory testing of SFTSV RNA. SFTSV RNA was detected in 346 ticks via laboratory tests and we found that there were not positive numbers in four articles (Table 5). The infection rate of SFTSV in ticks was 0.08 (95% CI 0.05, 0.11) and the result had significant heterogeneity (I 2 = 97.0%, P < 0.001) (Fig. 3E). There were 65 strains of SFTSV isolated from ticks. The seasonal change in tick numbers was consistent with SFTS case reports (Fig. 2D).

The positivity rate of SFTSV in vertical transmission

In vertical transmission, the experiment of ticks in the laboratory and the detection of naturally infected oviposited ticks were reported in previously published articles. Luo et al. reported that ticks fed on SFTSV-infected mice could acquire the virus and transovarially transmit it to other developmental stages of ticks. Wang et al. reported that 2 of 22 egg masses oviposited by blood-fed Haemaphysalis longicornis females were positive for SFTSV [Reference Wang102]. Three studies containing 168 ticks were analysed. A total of 117 ticks (eggs, larvae, nymphs or adult ticks) were infected through female tick oviposits. The positivity rate of SFTSV was 0.55 (95% CI: 0.12, 0.97) and the heterogeneity was also statistically significant (I 2 = 97.3%, P < 0.001). For the other transmission media, SFTSV has been detected by RT–PCR in gamasid mites, chigger mites and gadflies. The gamasid mites and chigger mites in the nine groups were all positive for SFTSV genomic nucleic acids. A total of 38 gadflies were divided into 16 groups and the results showed that three groups of gadflies were positive by RT–PCR. The role of other bloodsucking insects such as vectors and reservoirs for SFTSV needs to be further investigated [Reference Wang107, Reference Liu108].

Virus isolation and phylogenetic analysis

Eight articles reported that virus isolation was attempted on all viral RNA-positive serum samples, and phylogenetic analysis of the S segment of these SFTSV isolates was performed. For further analysis, the S segment of 445 SFTSV complete sequences obtained from GenBank was analysed, and we found that most of the viral isolates from animals and ticks were genetically close to the SFTS patient-derived isolates, and there was a clear boundary in these isolates in the three countries (Fig. 4). Niu et al. also showed that all sequences of the isolates from domesticated animals, SFTS patients and H. longicornis ticks shared more than 95% identity, which demonstrated a close evolutionary relationship among those SFTSV isolates from domesticated animals, ticks and SFTS patients by pairwise distance analysis [Reference Niu83].

Fig. 4. Phylogenetic analysis of the S segment of 445 SFTSV complete sequences obtained from GenBank.

Subgroup analysis

To explore the potential sources of high heterogeneity in the meta-analysis, we performed a subgroup analysis by country. The pooled case-fatality rate of SFTS in China was 0.13 (95% CI 0.10, 0.17) (I 2 = 91.0%, P < 0.01), 0.29 in Japan (95% CI 0.18, 0.42) (I 2 = 00.0%, P = 0.39), and 0.26 in South Korea (95% CI 0.11, 0.50) (I 2 = 86.0%, P < 0.01). The more details with other prevalences are presented in Supplementary Table S1.

Sensitivity analysis and publication bias

The sensitivity analysis was performed, which indicated little change in the data (Supplementary Table S2). The incidence rate of SFTS in the sensitivity analysis was stable and had no significant effect on the merger rate.

Egger's test and Begg's test were conducted to evaluate publication bias. The results showed that Egger's test t value was 2.76 (P = 0.011), and Begg's test z value was 1.77 (P = 0.076) in the case-fatality rate of SFTS. Egger's test t value was 4.44 (P = 0.000) and Begg's test z value was 2.15 (P = 0.032) in the overall seroprevalence of SFTSV among the healthy population. Egger's test t value was 3.52 (P = 0.002) and Begg's test z value was 2.27 (P = 0.023) in the seroprevalence of SFTSV in animals. Egger's test t value was 3.23 (P = 0.008) and Begg's test z value was 0.92 (P = 0.360) in the infection rate of SFTSV in ticks.

Discussion

This systematic review and meta-analysis were performed to study the transmission mode of SFTSV. The epidemiology of SFTS cases has the following characteristics: (1) most patients were older (60–70 years), (2) May to July was the peak of the SFTS cases in these epidemic areas and (3) most of the reported cases were farmers living or working in wooded and hilly areas, where ticks were commonly found. The epidemic areas of SFTS were mainly in the central and eastern China, mostly in mountainous and hilly rural areas, while there was no case in the western region, which might be due to the topography of mountains and plateaus. Infection and death cases were mainly found in central China, where H. longicornis ticks were spread [Reference Zhan3]. For the person-to-person transmission of SFTSV, we discovered the index and secondary patients but only three tertiary patients were described or found. The index cases died soon after becoming infected, suggesting that their transmission rate might be low. The asymptomatic infection rate was calculated and was high among the healthy population. This result was similar to a previously reported study [Reference Li109]. These observations indicated that the rate of asymptomatic infection increased with the SFTS epidemic situation.

Animal hosts and vectors of SFTSV are still unclear, but some case-control studies have reported that raising animals is a risk factor for human SFTS and working and living with domesticated animals, especially those showing high levels of SFTSV antibodies, increases SFTS incidence rates [Reference Ding110, Reference Chen111]. It is possible that SFTSV could be transmitted directly from animals (other than ticks) to humans through contact with blood and/or other body fluids. However, there are few articles at present, and we could not perform further research. The seroprevalence of SFTSV in animals was conducted in previous studies. Du and Chen et al. investigated whether SFTSV has a wide spectrum of animal hosts, including domestic and wild animals. The prevalence of SFTSV is high among specific animal species [Reference Du78, Reference Chen111]. In our study, we searched and analysed the publications, and the results showed that the overall seroprevalence of SFTSV in animals was 25%. Previous studies reported that the sequences of SFTSV isolated from animals were highly homologous to SFTSV from human cases [Reference Huang9, Reference Niu83, Reference Oh88]. The included study also showed that the virus was isolated from animals, such as cattle, goats and hedgehogs. A natural infection study also showed that goats were infected by ticks in the SFTS-endemic region. The goats were viraemic over a very short period (<24 h) after the viral infection and soon occupied by a timely mounting antibody response that effectively controlled the infection. The whole cohort did not show any specific clinical signs of illness and all survived infection [Reference Jiao112].

Ticks, especially H. longicornis, are suspected to be potential vectors and have a broad animal host range in nature [Reference Liu113]. The positivity rate of SFTSV indicated that SFTSV could be carried by ticks and transmitted vertically through female tick oviposits. Luo et al. fed H. longicornis ticks to SFTSV-infected mice, and the results indicated that ticks could acquire SFTSV from infected mice. The team also fed SFTSV-infected ticks on Kunming albino mice, and the results showed that ticks transmitted SFTSV to mice through feeding. These results from a laboratory study confirmed that ticks could serve as a vector and reservoir of SFTSV and were consistent with those of epidemiological investigations [Reference Luo10]. A previous study reported that the prevalence of SFTSV infection among ticks collected from vegetation was lower than that among ticks collected from animals. Ticks were vectors of SFTSV, similar to other insect-borne diseases, and SFTSV could not spread among ticks except for vertical transmission, so the SFTSV infection rate of vegetated ticks was fairly low [Reference Wang102]. Although the SFTSV of mites and gadflies was detected, we did not have much evidence that they were the main routes of transmission.

The case-fatality rate of SFTS has a wide range among endemic areas, the reason might be that SFTS cases were first found in China, the case-fatality was high at first and then gradually decreased. Later, Japan and South Korea successively reported cases, which led to a large range. The overall seroprevalence of SFTSV among the healthy population was almost the same in the three countries. The seroprevalence of SFTSV in animals has varied widely among the three countries, the reason for this discrepancy might include different geographical locations. In this study, we found SFTSV seroprevalence was high in China and was relatively low in Japan. However, this result should be interpreted with caution because of the limited number of studies and sample size in Japan and South Korea, which might lead to a lack of representativeness. Because only one study regarding Japan was included, we could not perform further analysis in the infection rate of SFTSV in ticks.

Our study had several strengths. The poor, moderate and high-quality studies were pooled for a relatively large sample size. Through the analysis of previous studies, we summarised the transmission mode of SFTSV, which had guiding significance for cutting off the transmission channels. Nevertheless, this meta-analysis also had some limitations. First, significant heterogeneity brought into question the suitability of performing this meta-analysis. Second, publication bias might distort the estimates of rates, so the results should be interpreted with caution.

Conclusion

According to the current study, the transmission patterns of SFTSVs can be summarised as shown in Figure 5. Ticks can serve as transmitting vectors of SFTSV and act as reservoir hosts as well. Animals can be infected with SFTSV by tick bites and as a reservoir host, but most animals are latent, and the infected animals might introduce SFTSV into areas where ticks were present. SFTSV circulates continuously between animals and ticks in nature. Humans are infected by SFTSV-infected ticks and might be infected by direct contact with infected blood or body fluids of patients.

Fig. 5. Transmission models of SFTSV among ticks, animals and humans.

Supplementary material

Additional file 1: Table S1: Subgroup analysis by country in the meta-analysis.

Additional file 2: Table S2: Sensitivity analysis in this review. The supplementary material for this article can be found at https://doi.org/10.1017/S0950268820002290.

Acknowledgements

None.

Author contributions

All authors made a substantial contribution to the study. XYH and ZQH designed and conceived the study. KH and WSG supervised and edited the manuscript. BHW and YL conducted an electronic search, extracted data and analysed it. XYH and ZQH wrote the initial manuscript. KH and WSG revised manuscript. YL, KH and WSG critically analysed the manuscript. All authors gave final approval for the manuscript to be submitted for publication.

Financial support

This work was supported by the National Natural Science Foundation of China (81573204 and 81773500) and Henan Medical Science and Technology Program (2018010029 and 2018020510).

Conflict of interest

The authors declare no conflict of interest.

Data availability statement

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.

References

Yu, XJ et al. (2011) Fever with thrombocytopenia associated with a novel bunyavirus in China. New England Journal of Medicine 364, 15231532.CrossRefGoogle ScholarPubMed
Zhu, N et al. (2018) Advances in severe fever with thrombocytopenia syndrome (SFTS) and SFTS virus. China Tropical Medicine 18, 282288.Google Scholar
Zhan, J et al. (2017) Current status of severe fever with thrombocytopenia syndrome in China. Virologica Sinica 32, 5162.CrossRefGoogle ScholarPubMed
Kim, KH et al. (2013) Severe fever with thrombocytopenia syndrome, South Korea, 2012. Emerging Infectious Diseases 19, 18921894.CrossRefGoogle ScholarPubMed
Takahashi, T et al. (2013) The first identification and retrospective study of severe fever with thrombocytopenia syndrome in Japan. Journal of Infectious Diseases 209, 816827.CrossRefGoogle ScholarPubMed
Tran, XC et al. (2019) Endemic severe fever with thrombocytopenia syndrome, Vietnam. Emerging Infectious Diseases 25, 10291031.CrossRefGoogle ScholarPubMed
McMullan, LK et al. (2012) A new phlebovirus associated with severe febrile illness in Missouri. New England Journal of Medicine 367, 834841.CrossRefGoogle ScholarPubMed
Deng, B et al. (2013) Clinical features and factors associated with severity and fatality among patients with severe fever with thrombocytopenia syndrome bunyavirus infection in Northeast China. PLoS One 8, e80802.CrossRefGoogle ScholarPubMed
Huang, XY et al. (2019) Prevalence of severe fever with thrombocytopenia syndrome virus in animals in Henan Province, China. Infectious Diseases of Poverty 8, 56.CrossRefGoogle ScholarPubMed
Luo, LM et al. (2015) Haemaphysalis longicornis ticks as reservoir and vector of severe fever with thrombocytopenia syndrome virus in China. Emerging Infectious Diseases 21, 17701776.CrossRefGoogle ScholarPubMed
National Institutes of Health (2019) Available at https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools. Accessed 1 October 2019.Google Scholar
Luo, ML et al. (2013) Realizing the meta-analysis of single rate in R software. Journal of Evidence-Based Medicine 13, 181184.Google Scholar
Wang, XL et al. (2016) Network meta-analysis and its implementation by stata. Modern Preventive Medicine 43, 34613464.Google Scholar
Higgins, JP et al. (2013) Measuring inconsistency in meta-analyses. BMJ 327, 557560.CrossRefGoogle Scholar
Michael, B et al. (2010) A basic introduction to fixed-effect and random-effects models for meta-analysis. Research Synthesis Methods 1, 97111.Google Scholar
Egger, M et al. (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629634.CrossRefGoogle ScholarPubMed
Begg, CB et al. (1994) Operating characteristics of a rank correlation test for publication bias. Biometrics 50, 10881101.CrossRefGoogle Scholar
Bao, CJ et al. (2011) A family cluster of infections by a newly recognized bunyavirus in eastern China, 2007: further evidence of person-to-person transmission. Clinical Infectious Diseases 53, 12081214.CrossRefGoogle ScholarPubMed
Liu, L et al. (2012) Epidemiologic analysis on severe fever with thrombocytopenia syndrome in Hubei province, 2010. Chinese Journal of Epidemiology 33, 168172.Google ScholarPubMed
Gai, ZT et al. (2012) Clinical progress and risk factors for death in severe fever with thrombocytopenia syndrome patients. Journal of Infectious Diseases 206, 10951102.CrossRefGoogle ScholarPubMed
Ding, YP et al. (2014) Prognostic value of clinical and immunological markers in acute phase of SFTS virus infection. Clinical Microbiology and Infection 20, O870O878.CrossRefGoogle ScholarPubMed
He, WH et al. (2014) Study on the epidemiological characteristics of fever accompanying by thrombocytopenia syndrome in Suizhou. Chinese Journal of Health Laboratory Technology 24, 117119.Google Scholar
Sun, J et al. (2014) Epidemiological characteristics of severe fever with thrombocytopenia syndrome in Zhejiang Province, China. International Journal of Infectious Diseases 25, 180185.CrossRefGoogle ScholarPubMed
Shin, J et al. (2015) Characteristics and factors associated with death among patients hospitalized for severe fever with thrombocytopenia syndrome, South Korea, 2013. Emerging Infectious Diseases 21, 17041710.CrossRefGoogle ScholarPubMed
Wei, J et al. (2015) The first human infection with severe fever with thrombocytopenia syndrome virus in Shaanxi Province, China. International Journal of Infectious Diseases 35, 3739.CrossRefGoogle ScholarPubMed
Xu, Z et al. (2015) Clinical characteristics in 422 patients with severe fever with thrombocytopenia syndrome. Infectious Disease Information 28, 2832.Google Scholar
Choi, SJ et al. (2016) Severe fever with thrombocytopenia syndrome in South Korea, 2013–2015. PLoS Neglected Tropical Diseases 10, e0005264.CrossRefGoogle ScholarPubMed
Kato, H et al. (2016) Epidemiological and clinical features of severe fever with thrombocytopenia syndrome in Japan, 2013–2014. PLoS One 11, e0165207.CrossRefGoogle Scholar
Zhao, HY et al. (2016) Clinical characteristics and risk factors for mortality of patients with severe fever with thrombocytopenia syndrome. Chinese Journal of Infectious Diseases 34, 1518.Google Scholar
Hu, J et al. (2017) Preliminary fast diagnosis of severe fever with thrombocytopenia syndrome with clinical and epidemiological parameters. PLoS One 12, e0180256.CrossRefGoogle ScholarPubMed
Wang, T et al. (2017) Epidemiological characteristics and environmental risk factors of severe fever with thrombocytopenia syndrome in Hubei Province, China, from 2011 to 2016. Frontiers in Microbiology 8, 387.Google ScholarPubMed
Hu, J et al. (2018) Correlations between clinical features and death in patients with severe fever with thrombocytopenia syndrome. Medicine 97, e10848.CrossRefGoogle ScholarPubMed
Jia, B et al. (2018) Characterization of clinical features and outcome for human-to-human transmitted severe fever with thrombocytopenia syndrome. Infectious Diseases 50, 601608.CrossRefGoogle ScholarPubMed
Xia, GM et al. (2018) Clinical characteristics and prognostic factors of fever with thrombocytopenia syndrome in Anhui Province. Anhui Medicine Journal 39, 854857.Google Scholar
Xu, X et al. (2018) Analysis of clinical features and early warning indicators of death from severe fever with thrombocytopenia syndrome. International Journal of Infectious Diseases 73, 4348.CrossRefGoogle ScholarPubMed
Song, YH et al. (2018) Epidemiological analysis on cases of severe fever with thrombocytopenia syndrome in Chaohu city, 2011–2017. Anhui Journal of Preventive Medicine 24, 184187.Google Scholar
Li, H et al. (2018) Epidemiological and clinical features of laboratory-diagnosed severe fever with thrombocytopenia syndrome in China, 2011–17: a prospective observational study. Lancet Infectious Diseases 18, 11271137.CrossRefGoogle ScholarPubMed
Kwon, JS et al. (2018) Kinetics of viral load and cytokines in severe fever with thrombocytopenia syndrome. Journal of Clinical Virology 101, 5762.CrossRefGoogle ScholarPubMed
Chen, R et al. (2019) Analysis of epidemiological characteristics of four natural-focal diseases in Shandong Province, China in 2009–2017: a descriptive analysis. PLoS One 14, e0221677.CrossRefGoogle ScholarPubMed
He, ZQ et al. (2019) The clinical characteristics of 74 cases of severe fever with thrombocytopenia syndrome. Tianji Medicine Journal 47, 738741.Google Scholar
Kim, J et al. (2019) Epidemiological and clinical characteristics of confirmed cases of severe fever with thrombocytopenia syndrome in Jeju Province, Korea, 2014–2018. Journal of Preventive Medicine and Public Health 52, 195199.CrossRefGoogle Scholar
Takahashi, T et al. (2019) Transient appearance of plasmablasts in the peripheral blood of Japanese patients with severe fever with thrombocytopenia syndrome. Journal of Infectious Diseases 220, 2327.CrossRefGoogle ScholarPubMed
Zong, L et al. (2019) Prevalence and M-fragment gene sequencing of fever with thrombocytopenia syndrome virus in Liaoning Province, 2011–2017. Chinese Journal of Public Health 35, 644647.Google Scholar
Gai, Z et al. (2011) Person-to-person transmission of severe fever with thrombocytopenia syndrome bunyavirus through blood contact. Clinical Infectious Diseases 54, 249252.CrossRefGoogle ScholarPubMed
Liu, Y et al. (2012) Person-to-person transmission of severe fever with thrombocytopenia syndrome virus. Vector Borne and Zoonotic Diseases 12, 156160.CrossRefGoogle ScholarPubMed
Chen, H et al. (2012) A cluster of cases of human-to-human transmission caused by severe fever with thrombocytopenia syndrome bunyavirus. International Journal of Infectious Diseases 17, e206e208.CrossRefGoogle ScholarPubMed
Tang, X et al. (2013) Human-to-human transmission of severe fever with thrombocytopenia syndrome bunyavirus through contact with infectious blood. Journal of Infectious Diseases 207, 736739.CrossRefGoogle ScholarPubMed
Wang, Y et al. (2014) Person-to-person asymptomatic infection of severe fever with thrombocytopenia syndrome virus through blood contact. Internal Medicine 53, 903906.CrossRefGoogle ScholarPubMed
Gong, Z et al. (2015) Probable aerosol transmission of severe fever with thrombocytopenia syndrome virus in southeastern China. Clinical Microbiology and Infection 21, 11151120.CrossRefGoogle ScholarPubMed
Jiang, X et al. (2015) A cluster of person-to-person transmission cases caused by SFTS virus in Penglai, China. Clinical Microbiology and Infection 21, 274279.CrossRefGoogle ScholarPubMed
Kim, WY et al. (2015) Nosocomial transmission of severe fever with thrombocytopenia syndrome in Korea. Clinical Infectious Diseases 60, 16811683.CrossRefGoogle ScholarPubMed
Yoo, JR et al. (2016) Family cluster analysis of severe fever with thrombocytopenia syndrome virus infection in Korea. American Journal of Tropical Medicine and Hygiene 95, 13511357.CrossRefGoogle ScholarPubMed
Huang, D et al. (2017) A cluster of symptomatic and asymptomatic infections of severe fever with thrombocytopenia syndrome caused by person-to-person transmission. American Journal of Tropical Medicine and Hygiene 97, 396402.CrossRefGoogle ScholarPubMed
Moon, J et al. (2019) Aerosol transmission of severe fever with thrombocytopenia syndrome virus during resuscitation. Infection Control & Hospital Epidemiology 40, 238241.CrossRefGoogle Scholar
Zhang, WS et al. (2011) Seroepidemiology of severe fever with thrombocytopenia syndrome bunyavirus in Jiangsu province. Diseases Surveillance 26, 676678.Google Scholar
Jiao, Y et al. (2012) Preparation and evaluation of recombinant severe fever with thrombocytopenia syndrome virus nucleocapsid protein for detection of total antibodies in human and animal sera by double-antigen sandwich enzyme-linked immunosorbent assay. Journal of Clinical Microbiology 50, 372377.CrossRefGoogle ScholarPubMed
Zhao, L et al. (2012) Severe fever with thrombocytopenia syndrome virus, Shandong Province, China. Emerging Infectious Diseases 18, 963.CrossRefGoogle ScholarPubMed
Cui, F et al. (2013) Clinical and epidemiological study on severe fever with thrombocytopenia syndrome in Yiyuan County, Shandong Province, China. American Journal of Tropical Medicine and Hygiene 88, 510512.CrossRefGoogle ScholarPubMed
Niu, GY (2013) The epidemiologic investigation of potential vectors and hosts of SFTS virus in China. Beijing, China: Chinese Center for Disease Control and Prevention, pp. 113.Google Scholar
Wang, L et al. (2013) Surveillance and analysis of severe fever with thrombocytopenia syndrome in Zibo City. Modern Preventive Medicine 40, 34713474.Google Scholar
Zhan, JB et al. (2013) Analysis on antibody levels against severe fever with thrombocytopenia syndrome bunyavirus among healthy population in Hubei province. Chinese Journal of Health Laboratry Technology 23, 992993.Google Scholar
Li, Z et al. (2014) Seroprevalence of antibodies against SFTS virus infection in farmers and animals, Jiangsu, China. Journal of Clinical Virology 60, 185189.CrossRefGoogle ScholarPubMed
Liang, S et al. (2014) Seroprevalence and risk factors for severe fever with thrombocytopenia syndrome virus infection in Jiangsu Province, China, 2011. American Journal of Tropical Medicine and Hygiene 90, 256259.CrossRefGoogle Scholar
Zhang, L et al. (2014) Antibodies against severe fever with thrombocytopenia syndrome virus in healthy persons, China, 2013. Emerging Infectious Diseases 20, 13551357.CrossRefGoogle Scholar
Hu, C et al. (2015) The severe fever with thrombocytopenia syndrome bunyavirus (SFTSV) antibody in a highly endemic region from 2011 to 2013: a comparative serological study. American Journal of Tropical Medicine and Hygiene 92, 479481.CrossRefGoogle Scholar
Sun, J et al. (2015) Seroprevalence of severe fever with thrombocytopenia syndrome virus in southeastern China and analysis of risk factors. Epidemiology & Infection 143, 851856.CrossRefGoogle ScholarPubMed
Tan, WW et al. (2015) Results of surveillance of severe fever with thrombocytopenia syndrome bunyavirus in Yixing. Chinese Tropical Medicine 15, 359360.Google Scholar
Xu, PP et al. (2015) Seroepidemiology of severe fever with thromboeytopenia syndrome virus. Liu'an. Modern Preventive Medicine 42, 19481950.Google Scholar
Zhou, SQ et al. (2015) Serological investigation of the new virus bunia infection among healthy population in Penglai City. Modern Preventive Medicine 42, 476478.Google Scholar
Huang, X et al. (2017) Presence of antibodies against severe fever with thrombocytopenia syndrome virus in non-endemic areas of China. Japanese Journal of Infectious Diseases 70, 248251.CrossRefGoogle ScholarPubMed
Luo, LM (2016) Investigation of reservoir and vector of severe fever with thrombocytopenia syndrome virus and seroepidemiology of Tick-borned disease in China. Jinan, Shandong, China: University of Shandong, pp. 129.Google Scholar
Xing, X et al. (2016) Natural transmission model for severe fever with thrombocytopenia syndrome bunyavirus in villages of Hubei Province, China. Medicine 95, e2533.CrossRefGoogle ScholarPubMed
Yong, L et al. (2016) Seroprevalence and risk factors of severe fever with thrombocytopenia syndrome virus infection in endemic areas. Infectious Diseases 48, 544549.Google Scholar
Kim, KH et al. (2017) Seroprevalence of severe fever with thrombocytopenia syndrome in southeastern Korea, 2015. Journal of Korean Medical Science 32, 2932.CrossRefGoogle Scholar
Gokuden, M et al. (2018) Low seroprevalence of severe fever with thrombocytopenia syndrome virus antibodies in individuals living in an endemic area of Japan. Japanese Journal of Infectious Diseases 71, 225228.CrossRefGoogle Scholar
Kimura, T et al. (2018) Seroprevalence of severe fever with thrombocytopenia syndrome (SFTS) virus antibodies in humans and animals in Ehime prefecture, Japan, an endemic region of SFTS. Journal of Infection and Chemotherapy 24, 802806.CrossRefGoogle ScholarPubMed
Shen, W et al. (2019) Seroprevalence of severe fever with thrombocytopenia syndrome virus antibodies among inhabitants of Dachen Island, eastern China. Ticks and Tick-borne Diseases 10, 647650.CrossRefGoogle ScholarPubMed
Du, YH et al. (2019) Seroprevalance of antibodies specific for severe fever with thrombocytopenia syndrome virus and the discovery of asymptomatic infections in Henan Province, China. PLoS Neglected Tropical Diseases 13, e0007242.CrossRefGoogle ScholarPubMed
Jiang, XL (2012) Potential vectors and hosts of SFTS bunyavirus in China. Jinan, Shandong, China: University of Shandong, pp. 65.Google Scholar
Zhao, L et al. (2014) Severe fever with thrombocytopenia syndrome virus, Shandong Province, China, 2011. Emerging Infectious Diseases 20, 15.Google Scholar
Ding, S et al. (2014) A cross-sectional survey of severe fever with thrombocytopenia syndrome virus infection of domestic animals in Laizhou City, Shandong Province, China. Japanese Journal of Infectious Diseases 67, 14.CrossRefGoogle ScholarPubMed
Liu, Y et al. (2013) Epidemic characteristics and biological features of severe fever with thrombocytopenia syndrome virus (SFTSV) found in Liaoning province. Chinese Journal of Public Health 29, 721723.Google Scholar
Niu, G et al. (2013) Severe fever with thrombocytopenia syndrome virus among domesticated animals, China. Emerging Infectious Diseases 19, 756763.CrossRefGoogle ScholarPubMed
Liu, JW et al. (2014) Prevalence of SFTSV among Asian house shrews and rodents, China, January–August 2013. Emerging Infectious Diseases 20, 21262128.CrossRefGoogle Scholar
Du, YH et al. (2014) Investigation of animals infected with novel bunyavirus in Xinyang City, Henan Province, China. Chinese Journal of Zoonoses 30, 766768.Google Scholar
Xu, ZP et al. (2014) Analysis on new buniavirus infections in Wuxi City. Chinese Journal of Diseases Control Preventive 18, 239242.Google Scholar
Li, ZF et al. (2016) Ecology of the tick-borne phlebovirus causing severe fever with thrombocytopenia syndrome in an endemic area of China. PLoS Neglected Tropical Diseases 10, e0004574.CrossRefGoogle Scholar
Oh, SS et al. (2016) Detection of severe fever with thrombocytopenia syndrome virus from wild animals and ixodidae ticks in the Republic of Korea. Vector Borne and Zoonotic Diseases 16, 4081414.CrossRefGoogle ScholarPubMed
Tabara, K et al. (2016) Investigation of severe fever with thrombocytopenia syndrome virus antibody among domestic bovines transported to slaughterhouse in Shimane Prefecture, Japan. Japanese Journal of Infectious Diseases 69, 445447.CrossRefGoogle ScholarPubMed
Hayasaka, D et al. (2016) Seroepidemiological evidence of severe fever with thrombocytopenia syndrome virus infections in wild boars in Nagasaki, Japan. Tropical Medicine and Health 44, 6.CrossRefGoogle ScholarPubMed
Sun, Y et al. (2017) Seroprevalence of severe fever with Thrombocytopenia syndrome virus in hedgehog from China. Vector Borne and Zoonotic Diseases 17, 347350.CrossRefGoogle ScholarPubMed
Wang, GS et al. (2017) Severe fever with thrombocytopenia syndrome virus infection in minks in China. Vector Borne and Zoonotic Diseases 17, 596598.CrossRefGoogle ScholarPubMed
Zhu, YY et al. (2017) Preliminary investigation on infection of novel bunyavirus among animals and ticks in Shanghai, from 2012 to 2014. Chinese Journal of Zoonoses 33, 700704.Google Scholar
Lee, SH et al. (2018) Prevalence of antibodies against severe fever with thrombocytopenia syndrome virus in shelter dogs in the Republic of Korea. Ticks Tick-borne Diseases 9, 183187.CrossRefGoogle ScholarPubMed
Kang, JG et al. (2018) Prevalence of severe fever with thrombocytopenia syndrome virus in black goats (Capra hircus coreanae) in the Republic of Korea. Ticks Tick-borne Diseases 9, 11531157.CrossRefGoogle Scholar
Yu, KM et al. (2018) Seroprevalence and genetic characterization of severe fever with thrombocytopenia syndrome virus in domestic goats in South Korea. Ticks Tick-borne Diseases 9, 12021206.CrossRefGoogle ScholarPubMed
Yu, MA et al. (2019) Seroprevalence of severe fever with thrombocytopenia syndrome phlebovirus in domesticated deer in South Korea. Virologica Sinica 34, 501507.CrossRefGoogle ScholarPubMed
Yang, L et al. (2019) Genomes and seroprevalence of severe fever with thrombocytopenia syndrome virus and Nairobi sheep disease virus in Haemaphysalis longicornis ticks and goats in Hubei, China. Virology 529, 234245.CrossRefGoogle ScholarPubMed
Zhang, YZ et al. (2012) The ecology, genetic diversity, and phylogeny of huaiyangshan virus in China. Journal of Virology 86, 28642868.CrossRefGoogle ScholarPubMed
Yun, SM et al. (2014) Severe fever with thrombocytopenia syndrome virus in ticks collected from humans, South Korea, 2013. Emerging Infectious Diseases 20, 13581361.CrossRefGoogle ScholarPubMed
Hayasaka, D et al. (2015) Epidemiological survey of severe fever with thrombocytopenia syndrome virus in ticks in Nagasaki, Japan. Tropical Medicine and Health 43, 159164.CrossRefGoogle ScholarPubMed
Wang, SW et al. (2015) SFTS Virus in ticks in an endemic area of China. American Journal of Tropical Medicine and Hygiene 92, 684689.CrossRefGoogle Scholar
Yun, SM et al. (2016) Molecular detection of severe fever with thrombocytopenia syndrome and tick-borne encephalitis viruses in ixodid ticks collected from vegetation, Republic of Korea, 2014. Ticks Tick-borne Diseases 7, 970978.CrossRefGoogle ScholarPubMed
Tian, H et al. (2017) Severe fever with thrombocytopenia syndrome virus in humans, domesticated animals, ticks, and mosquitoes, Shaanxi Province, China. American Journal of Tropical Medicine and Hygiene 96, 13461349.CrossRefGoogle Scholar
Zhuang, L et al. (2018) Transmission of severe fever with thrombocytopenia syndrome virus by Haemaphysalis longicornis ticks, China. Emerging Infectious Diseases 24, 868871.CrossRefGoogle ScholarPubMed
Jung, M et al. (2019) Seasonal occurrence of Haemaphysalis longicornis (Acari: Ixodidae) and Haemaphysalis flava, vectors of severe fever with thrombocytopenia syndrome (SFTS) in South Korea. Journal of Medical Entomology 56, 11391144.CrossRefGoogle Scholar
Wang, QK et al. (2012) Vector research of severe fever with thrombocytopenia syndrome virus in gamasid mites and chigger mites. Chinese Journal of Vector Biology & Control 23, 452454.Google Scholar
Liu, Y et al. (2012) Survey on ticks and detection of new bunyavirus thrombocytopenia and leukopenia syndrome(FTLS) in Henan province. Chinese Journal of Preventive Medicine 46, 500504.Google Scholar
Li, P et al. (2017) Seroprevalence of severe fever with thrombocytopenia syndrome virus in China: a systematic review and meta-analysis. PLoS One 12, e0175592.CrossRefGoogle ScholarPubMed
Ding, F et al. (2014) Risk factors for bunyavirus-associated severe fever with thrombocytopenia syndrome, China. PLoS Neglected Tropical Diseases 8, e3267.CrossRefGoogle ScholarPubMed
Chen, C et al. (2019) Animals as amplification hosts in the spread of severe fever with thrombocytopenia syndrome virus: a systematic review and meta-analysis. International Journal of Infectious Diseases 79, 7784.CrossRefGoogle ScholarPubMed
Jiao, Y et al. (2015) Experimental and natural infections of goats with severe fever with thrombocytopenia syndrome virus: evidence for ticks as viral vector. PLoS Neglected Tropical Diseases 9, e0004092.CrossRefGoogle ScholarPubMed
Liu, S et al. (2014) Systematic review of severe fever with thrombocytopenia syndrome: virology, epidemiology, and clinical characteristics. Reviews in Medical Virology 24, 90102.CrossRefGoogle Scholar
Figure 0

Fig. 1. Flow chart of the study selection process in this meta-analysis.

Figure 1

Table 1. Basic characteristics of SFTS patients

Figure 2

Table 2. Basic characteristics of person-to-person transmission

Figure 3

Table 3. Characteristics of asymptomatic infected persons

Figure 4

Table 4. SFTSV seroprevalence in animals

Figure 5

Table 5. SFTSV tick infections rates and vertical transmission characteristics

Figure 6

Fig. 2. (a) Geographic distribution of SFTS in mainland China. (b) Seasonal distribution of published studies on case occurrence. (c) Age distribution of asymptomatic infections. (d) The relationships between collected ticks and number of published studies. The horizontal ordinate represented the month and the ordinate represented the number of studies that meet the requirements (b and d). The horizontal ordinate represented the age group and the ordinate represents the number of asymptomatic infections (c).

Figure 7

Fig. 3. Forest plots of the meta-analysis on a panel of prevalence. (a) The pooled case-fatality rate of SFTS. (b) The pooled biting rate by ticks. (c) The overall seroprevalence of SFTSV among the healthy population. (d) The overall seroprevalence of total antibodies against SFTSV in animals. (e) Infection rate of SFTSV in ticks.

Figure 8

Fig. 4. Phylogenetic analysis of the S segment of 445 SFTSV complete sequences obtained from GenBank.

Figure 9

Fig. 5. Transmission models of SFTSV among ticks, animals and humans.

Supplementary material: File

Huang et al. Supplementary Materials

Huang et al. Supplementary Materials 1

Download Huang et al. Supplementary Materials(File)
File 17.7 KB
Supplementary material: File

Huang et al. Supplementary Materials

Huang et al. Supplementary Materials 2

Download Huang et al. Supplementary Materials(File)
File 17.3 KB