| Literature DB >> 28835633 |
Jimin Sun1,2, Liang Lu1, Haixia Wu1, Jun Yang1, Jiangping Ren2, Qiyong Liu3.
Abstract
Severe fever with thrombocytopenia syndrome (SFTS) is emerging and the number of SFTS cases increased year by year in China. In order to explore the epidemiology trend, we analyzed the changing epidemiological characteristics of SFTS cases in different years and compare characteristics in different provinces. From 2011 to 2016, a total of 5360 laboratory-confirmed SFTS cases were reported and annual case numbers increased year by year. Most SFTS cases occurred in individuals aged between 40 years and 80 years (91.57%), but age distributions of SFTS cases in different years were significantly different and the median ages increased slightly year by year. The numbers of affected counties from 2011 to 2016 increased sharply from 98 to 167. Of note, the seasonal distributions of SFTS cases in different provinces were significantly different (Fisher = 712.157, P = 0.000) and provinces in south regions showed earlier epidemic peak and longer epidemics durations. The median time from illness onset to confirmation of different years was significantly different (χ2 = 896.088, P = 0.000) and it peaked in 2014. Furthermore, case fatality rate was associated with province, year, and age of SFTS cases. These results may be helpful for authorities to better preventive strategy and improve interventions against SFTS.Entities:
Mesh:
Year: 2017 PMID: 28835633 PMCID: PMC5569157 DOI: 10.1038/s41598-017-08042-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Annual numbers and incidences of SFTS cases in China from 2011 to 2016.
Age distribution of SFTS cases in China from 2011 to 2016.
| 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No. of cases | Proportion (%) | No. of cases | Proportion (%) | No. of cases | Proportion (%) | No. of cases | Proportion (%) | No. of cases | Proportion (%) | No. of cases | Proportion (%) | |
| 0- | 1 | 0.22 | 0 | 0.00 | 0 | 0.00 | 5 | 0.48 | 3 | 0.23 | 0 | 0.00 |
| 10- | 2 | 0.43 | 2 | 0.35 | 0 | 0.00 | 8 | 0.77 | 5 | 0.38 | 1 | 0.08 |
| 20- | 1 | 0.22 | 5 | 0.86 | 9 | 1.33 | 13 | 1.26 | 18 | 1.38 | 20 | 1.53 |
| 30- | 15 | 3.25 | 20 | 3.45 | 20 | 2.96 | 23 | 2.22 | 24 | 1.84 | 39 | 2.99 |
| 40- | 89 | 19.31 | 96 | 16.58 | 79 | 11.69 | 157 | 15.18 | 168 | 12.88 | 144 | 11.03 |
| 50- | 112 | 24.30 | 146 | 25.22 | 169 | 25.00 | 256 | 24.76 | 261 | 20.02 | 315 | 24.12 |
| 60- | 143 | 31.02 | 170 | 29.36 | 228 | 33.73 | 308 | 29.79 | 474 | 36.35 | 422 | 32.31 |
| 70- | 85 | 18.44 | 122 | 21.07 | 142 | 21.01 | 220 | 21.28 | 305 | 23.39 | 297 | 22.74 |
| 80- | 13 | 2.82 | 18 | 3.11 | 29 | 4.29 | 44 | 4.26 | 46 | 3.53 | 68 | 5.21 |
| Total | 461 | 100 | 579 | 100 | 676 | 100 | 1034 | 100 | 1304 | 100 | 1306 | 100 |
Seasonal distribution of SFTS cases in different provinces from 2011 to 2016.
| Liaoning | Shandong | Henan | Hubei | Jiangsu | Anhui | Zhejiang | Other | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No. | P (%) | No. | P (%) | No. | P (%) | No. | P (%) | No. | P (%) | No. | P (%) | No. | P (%) | No. | P (%) | |
| January | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 2 | 8.00 |
| February | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 0 | 0.00 | 1 | 4.00 |
| March | 1 | 0.45 | 1 | 0.07 | 22 | 1.09 | 4 | 0.61 | 1 | 0.68 | 5 | 1.00 | 9 | 3.46 | 0 | 0.00 |
| April | 0 | 0.00 | 24 | 1.59 | 263 | 12.99 | 82 | 12.41 | 10 | 6.85 | 55 | 10.98 | 20 | 7.69 | 0 | 0.00 |
| May | 10 | 4.46 | 271 | 17.91 | 616 | 30.42 | 168 | 25.42 | 33 | 22.60 | 110 | 21.96 | 57 | 21.92 | 1 | 4.00 |
| June | 31 | 13.84 | 374 | 24.72 | 406 | 20.05 | 133 | 20.12 | 26 | 17.81 | 105 | 20.96 | 57 | 21.92 | 3 | 12.00 |
| July | 68 | 30.36 | 304 | 20.09 | 281 | 13.88 | 140 | 21.18 | 32 | 21.92 | 82 | 16.37 | 57 | 21.92 | 5 | 20.00 |
| August | 67 | 29.91 | 276 | 18.24 | 137 | 6.77 | 58 | 8.77 | 20 | 13.70 | 64 | 12.77 | 26 | 10.00 | 4 | 16.00 |
| September | 35 | 15.63 | 140 | 9.25 | 157 | 7.75 | 33 | 4.99 | 12 | 8.22 | 29 | 5.79 | 12 | 4.62 | 2 | 8.00 |
| October | 12 | 5.36 | 103 | 6.81 | 134 | 6.62 | 35 | 5.30 | 11 | 7.53 | 44 | 8.78 | 16 | 6.15 | 2 | 8.00 |
| November | 0 | 0.00 | 20 | 1.32 | 9 | 0.44 | 8 | 1.21 | 1 | 0.68 | 7 | 1.40 | 5 | 1.92 | 4 | 16.00 |
| December | 0 | 0.00 | 2 | 0.13 | 0 | 0.00 | 2 | 0.30 | 0 | 0.00 | 1 | 0.20 | 1 | 0.38 | 1 | 4.00 |
| Total | 224 | 100 | 1515 | 100 | 2025 | 100 | 663 | 100 | 146 | 100 | 502 | 100 | 260 | 100 | 25 | 100 |
*No. = Number of cases, P (%) = Proportion (%).
Figure 2Geographical distribution of SFTS cases in China from 2011 to 2016. These maps were created by ArcGIS software (version 10.1, ESRI Inc.; Redlands, CA, USA). Homepage of ArcGIS software was https://www.esri.com/.
Figure 3Seasonal distribution of SFTS cases in China from 2011 to 2016.
Single variable analysis on factors associated with SFTS fatal outcome.
| Survivor | Death | Wald | P | OR | 95% CI | ||
|---|---|---|---|---|---|---|---|
| Year | 26.309 | 0.000 | |||||
| 2011 | 415 | 46 | 18.532 | 0.000 | 2.429 | 1.622 | 3.638 |
| 2012 | 536 | 43 | 7.321 | 0.007 | 1.758 | 1.168 | 2.645 |
| 2013 | 628 | 48 | 6.523 | 0.011 | 1.675 | 1.127 | 2.488 |
| 2014 | 953 | 81 | 12.185 | 0.000 | 1.862 | 1.314 | 2.641 |
| 2015 | 1236 | 68 | 1.032 | 0.310 | 1.206 | 0.841 | 1.729 |
| 2016 | 1249 | 57 | |||||
| Province | 114.367 | 0.000 | |||||
| Liaoning | 208 | 16 | 14.768 | 0.000 | 3.132 | 1.750 | 5.607 |
| Shandong | 1345 | 170 | 96.401 | 0.000 | 5.101 | 3.685 | 7.062 |
| Hubei | 618 | 45 | 25.926 | 0.000 | 2.936 | 1.940 | 4.445 |
| Jiangsu | 141 | 5 | 0.561 | 0.454 | 1.430 | 0.561 | 3.646 |
| Anhui | 478 | 24 | 7.695 | 0.006 | 2.025 | 1.230 | 3.333 |
| Zhejiang | 228 | 32 | 53.133 | 0.000 | 5.660 | 3.551 | 9.020 |
| Other | 23 | 2 | 2.291 | 0.130 | 3.102 | 0.716 | 13.436 |
| Henan | 1976 | 49 | |||||
| Age | 59.893 | 0.000 | 1.561 | 1.395 | 1.747 | ||
| 0- | 234 | 0 | |||||
| 40- | 715 | 18 | |||||
| 50- | 1188 | 71 | |||||
| 60- | 1628 | 117 | |||||
| 70- | 1252 | 137 | |||||
| Gender | 3.794 | 0.051 | 1.243 | 0.999 | 1.547 | ||
| Female | 2686 | 165 | |||||
| Male | 2331 | 178 | |||||
Multivariable analysis on factors associated with SFTS fatal outcome.
| Wald | P | OR | 95% CI | ||
|---|---|---|---|---|---|
| Year | 38.685 | 0.000 | |||
| 2011 | 24.143 | 0.000 | 2.836 | 1.871 | 4.298 |
| 2012 | 20.941 | 0.000 | 2.696 | 1.763 | 4.124 |
| 2013 | 8.943 | 0.003 | 1.858 | 1.238 | 2.787 |
| 2014 | 20.032 | 0.000 | 2.271 | 1.586 | 3.252 |
| 2015 | 3.565 | 0.059 | 1.426 | 0.987 | 2.061 |
| Province | 115.110 | 0.000 | |||
| Liaoning | 14.922 | 0.000 | 3.212 | 1.777 | 5.806 |
| Shandong | 102.070 | 0.000 | 5.528 | 3.968 | 7.703 |
| Hubei | 35.879 | 0.000 | 3.654 | 2.391 | 5.584 |
| Jiangsu | 1.082 | 0.298 | 1.653 | 0.641 | 4.257 |
| Anhui | 12.740 | 0.000 | 2.516 | 1.516 | 4.175 |
| Zhejiang | 53.359 | 0.000 | 5.842 | 3.638 | 9.382 |
| Other | 4.041 | 0.044 | 4.631 | 1.039 | 20.637 |
| Age | 63.911 | 0.000 | 1.611 | 1.433 | 1.810 |