First Fatal Infection and Phylodynamic Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in Jilin Province, Northeastern China.
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ABSTRACT:
SUBMITTER: Zhang X
PROVIDER: S-EPMC8087733 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that is regionally distributed in Asia, with high fatality. Constructing the transmission model of SFTS could help provide clues for disease control and fill the gap in research on SFTS models.MethodsWe built an SFTS transmission dynamics model based on the susceptible-exposed-infectious-asymptomatic-recovered (SEIAR) model and the epidemiological characteristics of SFTS in Jiangsu Province. This model was used to evaluate the effect by cutting off different transmission routes and taking different interventions into account, to offer clues for disease prevention and control.ResultsThe transmission model fits the reported data well with a minimum R2 value of 0.29 and a maximum value of 0.80, P < 0.05. Meanwhile, cutting off the environmental transmission route had the greatest effect on the prevention and control of SFTS, while isolation and shortening the course of the disease did not have much effect.ConclusionsThe model we have built can be used to simulate the transmission of SFTS to help inform disease control. It is noteworthy that cutting off the environment-to-humans transmission route in the model had the greatest effect on SFTS prevention and control.
| S-EPMC8100741 | biostudies-literature
Project description:Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by severe fever with thrombocytopenia syndrome virus (SFTSV). SFTSV has been found in humans, ticks and animals, and SFTS has high mortality and increasing prevalence in East Asia. In the study, the samples (heart, liver, lung, kidney, spleen, brain tissue and serum) were collected from 374 domestic animals and 241 wild animals in Pingqiao District and Xinxian County of Xinyang in Henan Province, China. 275 (44.72%, 275/615) animals were positive for anti-SFTSV antibodies, the anti-SFTSV antibodies positive ratios of domestic and wild animals were 43.58% (163/374) and 46.47% (112/241), respectively. There was no significant difference in domestic and wild animals, but significant differences were detected among different species of animals (χ2 = 112.59, P < 0.0001). Among 615 animals, 105 (17.07%, 105/615) animals were positive for SFTSV RNA, and only one SFTSV strain was isolated from heart tissue of a yellow weasel. The phylogenetic analysis shows that the sequence from animals belonged to the same group with viral sequences obtained from humans. The animals maybe play a reservoir host in maintaining the life cycle of SFTSV in nature.
| S-EPMC6589873 | biostudies-literature
Project description:Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by the SFTS virus (SFTSV). Predicting the incidence of this disease in advance is crucial for policymakers to develop prevention and control strategies. In this study, we utilized historical incidence data of SFTS (2013-2020) in Shandong Province, China to establish three univariate prediction models based on two time-series forecasting algorithms Autoregressive Integrated Moving Average (ARIMA) and Prophet, as well as a special type of recurrent neural network Long Short-Term Memory (LSTM) algorithm. We then evaluated and compared the performance of these models. All three models demonstrated good predictive capabilities for SFTS cases, with the predicted results closely aligning with the actual cases. Among the models, the LSTM model exhibited the best fitting and prediction performance. It achieved the lowest values for mean absolute error (MAE), mean square error (MSE), and root mean square error (RMSE). The number of SFTS cases in the subsequent 5 years in this area were also generated using this model. The LSTM model, being simple and practical, provides valuable information and data for assessing the potential risk of SFTS in advance. This information is crucial for the development of early warning systems and the formulation of effective prevention and control measures for SFTS.
| S-EPMC10831807 | biostudies-literature
Project description:AbstractThe first human infection with severe fever with thrombocytopenia syndrome virus (SFTSV) was detected in Shaanxi Province, China, in 2013, although the virus had been reported in 13 other provinces of China since 2010. We collected and analyzed a total of 4,011 samples, including 936 human serum samples, 155 animal serum samples, 895 ticks, 1,950 mosquitoes, 30 midges, and 20 sandflies. SFTSV antibodies were found in 44 human samples (4.7%) with no significant differences between males and females or across counties. The incidence rate of severe fever with thrombocytopenia syndrome was significantly higher among individuals 20-60 years of age. Moreover, SFTSV-specific antibodies were detected in goats (66.7%), cattle (13.2%), and dogs (15.0%), but not in pigs (0%). We detected the virus in Haemaphysalis concinna ticks with a prevalence rate of 21.3% (17/80 pools). All mosquito, midge, and sandfly samples were negative for SFTSV. These results support wide circulation of the virus in western China. Haemaphysalis concinna ticks may serve as a novel SFTSV vector, and the role of these ticks requires further investigation.
| S-EPMC5462569 | biostudies-literature
Project description:Lymphocytic choriomeningitis virus (LCMV) is a neglected rodent-borne zoonotic virus in the genus Mammarenavirus and family Arenaviridae, that can cause aseptic meningitis in humans. A recent study identified infectious LCMV in ticks in northeastern (NE) China. To explore the distribution of LCMV, we determined the prevalence and genetically characterized LCMV in ticks in Jilin Province, NE China. Ticks collected in Huadian, Dunhua, and Jiaohe were pooled and LCMV was detected using reverse transcription polymerase chain reaction. The complete genomes of the LCMV-positive pools were amplified and used for phylogenetic analysis. A total of 1679 questing and engorged ticks were collected and divided into 170 pools, including Ixodes persulcatus (5%), Dermacentor silvarum (89%), and Haemaphysalis japonica (6%). Twenty-four pools of D. silvarum (14.9%, 95% CI:9.5-22.3) and three pools of H. japonica (36.3%, 95% CI:9.8-99.5) collected from cattle were LCMV-positive. No I. persulcatus pools were identified as LCMV-positive. Two complete genome sequences (strains JL-DH01 and JL-DH02) were successfully amplified. They had nucleotide identities of 96.4-99.8% with strains JX31, JX14, DH46, and JX4 identified in ticks from Jilin Province. Phylogenetic analysis indicated that JL-DH01 and JL-DH02 clustered with Jilin strains in the same branch and belonged to genotype I. The findings add to the knowledge of the genetic diversity and geographical distribution of LCMV in ticks in NE China.
| S-EPMC10076206 | biostudies-literature
Project description:BackgroundSevere fever with thrombocytopenia syndrome (SFTS), caused by the SFTS virus (SFTSV), is an acute infectious disease transmitted by ticks that has recently been identified. There are no reports of epidemic serotypes in Liaoning Province, PR China. The aim of this study was, therefore, to identify genotypes of SFTSV in this province.MethodsIn 2019, quantitative PCR testing was performed on 17 patients suspected of being infected with SFTS in Liaoning Province and on 492 ticks from the counties and cities surrounding the patients' residences. Four samples were subjected to virus isolation and whole-genome amplification.ResultsMolecular diagnostic results confirmed SFTSV infection in five of the 17 suspected cases of SFTS and in 12 of the 492 ticks, with a prevalence of 2.4%. Four strains of SFTSV were successfully isolated from patients' blood and ticks. Phylogenetic analysis after whole-genome amplification and sequencing showed that they all belonged to genotype A of SFTSV.ConclusionsThis study is the first to determine the genotype of SFTSV in patients and ticks in Liaoning Province, PR China. The results deepen our understanding of the SFTS epidemic and provide information on the variability in mortality rate among genotypes.
| S-EPMC8981814 | biostudies-literature
Project description:Severe fever with thrombocytopenia syndrome virus (SFTSV), an etiological agent causing febrile human disease was identified as an emerging tick-borne bunyavirus. The clinical disease characteristics and case fatality rates of SFTSV may vary across distinct regions and among different variant genotypes. From 2018 to 2022, we surveyed and recruited 202 severe fever with thrombocytopenia syndrome (SFTS) patients in Hubei Province, a high-incidence area of the epidemic, and conducted timely and systematic research on the disease characteristics, SFTSV diversity, and the correlation between virus genome variation and clinical diseases. Our study identified at least 6 genotypes of SFTSV prevalent in Hubei Province based on the analysis of the S, M, and L genome sequences of 88 virus strains. Strikingly, the dominant genotype of SFTSV was found to change during the years, indicating a dynamic shift in viral genetic diversity in the region. Phylogenetic analysis revealed the genetic exchange of Hubei SFTSV strains was relatively frequent, including 3 reassortment strains and 8 recombination strains. Despite the limited sample size, SFTSV C1 genotype may be associated with higher mortality compared to the other four genotypes, and the serum amyloid A (SAA) level, an inflammatory biomarker, was significantly elevated in these patients. Overall, our data summarize the disease characteristics of SFTSV in Hubei Province, highlight the profound changes in viral genetic diversity, and indicate the need for in-depth monitoring and exploration of the relationship between viral mutations and disease severity.
| S-EPMC10538666 | biostudies-literature
Project description:BackgroundSevere fever with thrombocytopenia syndrome (SFTS), one kind of tick-borne acute infectious disease, is caused by a novel bunyavirus. The relationship between meteorological factors and infectious diseases is a hot topic of current research. Liaoning Province has reported a high incidence of SFTS in recent years. However, the epidemiological characteristics of SFTS and its relationship with meteorological factors in the province remain largely unexplored.MethodsData on reported SFTS cases were collected from 2011 to 2019. Epidemiological characteristics of SFTS were analyzed. Spearman's correlation test and generalized linear models (GLM) were used to identify the relationship between meteorological factors and the number of SFTS cases.ResultsFrom 2011 to 2019, the incidence showed an overall upward trend in Liaoning Province, with the highest incidence in 2019 (0.35/100,000). The incidence was slightly higher in males (55.9%, 438/783), and there were more SFTS patients in the 60-69 age group (31.29%, 245/783). Dalian City and Dandong City had the largest number of cases of SFTS (87.99%, 689/783). The median duration from the date of illness onset to the date of diagnosis was 8 days [interquartile range (IQR): 4-13 days]. Spearman correlation analysis and GLM showed that the number of SFTS cases was positively correlated with monthly average rainfall (rs = 0.750, P < 0.001; β = 0.285, P < 0.001), monthly average relative humidity (rs = 0.683, P < 0.001; β = 0.096, P < 0.001), monthly average temperature (rs = 0.822, P < 0.001; β = 0.154, P < 0.001), and monthly average ground temperature (rs = 0.810, P < 0.001; β = 0.134, P < 0.001), while negatively correlated with monthly average air pressure (rs = -0.728, P < 0.001; β = -0.145, P < 0.001), and monthly average wind speed (rs = -0.272, P < 0.05; β = -1.048, P < 0.001). By comparing both correlation coefficients and regression coefficients between the number of SFTS cases (dependent variable) and meteorological factors (independent variables), no significant differences were observed when considering immediate cases and cases with lags of 1 to 5 weeks for dependent variables. Based on the forward and backward stepwise GLM regression, the monthly average air pressure, monthly average temperature, monthly average wind speed, and time sequence were selected as relevant influences on the number of SFTS cases.ConclusionThe annual incidence of SFTS increased year on year in Liaoning Province. Incidence of SFTS was affected by several meteorological factors, including monthly average air pressure, monthly average temperature, and monthly average wind speed.
| S-EPMC9357322 | biostudies-literature
Project description:To investigate the infections of severe fever with thrombocytopenia syndrome virus (SFTSV) in domesticated animals, we sampled a total of 3,039 animals in 2 counties in Shandong Province, People's Republic of China, from April to November 2011. SFTSV-specific antibodies were detected in 328 (69.5%) of 472 sheep, 509 (60.5%) of 842 cattle, 136 (37.9%) of 359 dogs, 26 (3.1%) of 839 pigs, and 250 (47.4%) of 527 chickens. SFTSV RNA was detected in all sampled animal species, but the prevalence was low, ranging from 1.7% to 5.3%. A cohort study in 38 sheep was conducted to determine when seroconversion to SFTSV occured. SFTSVs were isolated from sheep, cattle, and dogs and shared >95% sequence homology with human isolates from the same disease-endemic regions. These findings demonstrate that natural infections of SFTSV occur in several domesticated animal hosts in disease-endemic areas and that the virus has a wide host range.
| S-EPMC3647489 | biostudies-literature
Project description:The dimorphic fungus Sporothrix globosa is the predominant etiologic agent causing sporotrichosis in China, particularly in the northeast. It has been demonstrated that the incubation temperature and growth phase can influence in vitro antifungal susceptibility profiles of S. schenckii sensu stricto and S. brasiliensis (sibling species of S. globosa). Few studies have reported on the antifungal susceptibility of S. globosa, especially using large numbers of isolates. In this study, we assessed the susceptibility of 80 isolates of S. globosa originating from Jilin Province, northeastern China, to six antifungal agents (itraconazole, terbinafine, voriconazole, posaconazole, fluconazole, and amphotericin B), at varying incubation temperatures and in different fungal growth phases. The isolates were most sensitive to terbinafine (geometric mean [GM] of the minimum inhibitory concentration [MIC]: 0.0356 μg/ml for the mycelial phase at 30 °C, 0.0332 μg/ml for the mycelial phase at 35 °C, and 0.031 μg/ml for the yeast phase, respectively), followed by posaconazole (GM of the MIC: 4.2501 μg/ml for the mycelial phase at 30 °C, 1.4142 μg/ml for the mycelial phase at 35 °C, and 0.7195 μg/ml for the yeast phase, respectively) and itraconazole (GM of the MIC: 6.8448 μg/ml for the mycelial phase at 30 °C, 3.1383 μg/ml for the mycelial phase at 35 °C, and 1.0263 μg/ml for the yeast phase, respectively). The isolates were relatively resistant to fluconazole (GM of the MIC: 76.7716 μg/ml for the mycelial phase at 30 °C, 66.2570 μg/ml for the mycelial phase at 35 °C, and 24.4625 μg/ml for the yeast phase, respectively) and voriconazole (GM of the MIC: 26.2183 μg/ml for the mycelial phase at 30 °C, 13.6895 μg/ml for the mycelial phase at 35 °C, and 1.3899 μg/ml for the yeast phase, respectively). For all the tested azole drugs, the MICs at 30 °C were significantly higher than those at 35 °C (P < 0.001); for all agents except terbinafine, the MICs of S. globosa in the yeast phase were significantly lower than those of the strains in the mycelial phase (P < 0.001). These results show that the sensitivities of S. globosa to antifungal compounds are dependent on incubation temperature and growth phase. To the best of our knowledge, this is the largest study of antifungal susceptibility of S. globosa isolates reported to date. To establish epidemiological cutoff values for S. globosa, further antifungal susceptibility testing studies by independent laboratories located in different regions and using uniform conditions are required.
| S-EPMC7966605 | biostudies-literature