| Literature DB >> 28994741 |
Kaiwen Wang1, Shuang Zhong2, Xiaoye Wang3, Zhe Wang4, Lianping Yang5, Qiong Wang6, Suhan Wang7, Rongrong Sheng8, Rui Ma9, Shao Lin10, Wenyu Liu11, Rongqiang Zu12, Cunrui Huang13.
Abstract
(1) Background: Tornadoes are one of the deadliest disasters but their health impacts in China are poorly investigated. This study aimed to assess the public health risks and impact of an EF-4 tornado outbreak in Funing, China; (2)Entities:
Keywords: death and injury; infectious disease; natural disaster; public health impact; tornado
Mesh:
Year: 2017 PMID: 28994741 PMCID: PMC5664702 DOI: 10.3390/ijerph14101201
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Location and pathway of the Funing tornado, 23 June 2016. (A) Location of Funing county in Jiangsu Province, China; (B) Remote sensing photomap of the tornado pathway.
Demographics and circumstances of decedents in the Funing tornado, 23 June 2016.
| Variables | No. (%) | Population | Rate a | RR (95% CI) |
|---|---|---|---|---|
| 0–4 | 5 (5.1) | 29,126 | 1.72 | 7.13 (1.38, 36.74) * |
| 5–14 | 3 (3.0) | 55,729 | 0.54 | 2.23 (0.37, 13.38) |
| 15–24 | 0 (0.0) | 68,725 | 0.00 | 0.00 |
| 25–34 | 4 (4.0) | 78,797 | 0.51 | 2.11 (0.39, 11.51) |
| 35–44 | 2 (2.0) | 83,031 | 0.24 | 1.00 (Ref.) |
| 45–54 | 12 (12.1) | 80,585 | 1.49 | 6.18 (1.38, 27.62) * |
| 55–64 | 10 (10.1) | 60,029 | 1.67 | 6.92 (1.52, 31.56) * |
| 65–74 | 26 (26.3) | 33,054 | 7.87 | 32.66 (7.75, 137.59) * |
| 75–84 | 31 (31.3) | 15,664 | 19.79 | 82.16 (19.66, 343.33) * |
| 85+ | 6 (6.1) | 3759 | 15.96 | 66.27 (13.37, 328.43) * |
| Male | 40 (40.4) | 259,087 | 1.54 | 1.00 (Ref.) |
| Female | 59 (59.6) | 249,412 | 2.37 | 1.53 (1.02, 2.29) * |
| Married | 67 (67.7) | |||
| Widowed | 20 (20.2) | |||
| Single | 10 (10.1) | |||
| Divorce | 2 (2.0) | |||
| <Junior middle school | 97 (98.0) | |||
| >Senior high school | 2 (2.0) | |||
| Farmer | 88 (88.9) | |||
| Child | 6 (6.1) | |||
| Student | 4 (4.0) | |||
| Worker | 1 (1.0) | |||
| Trauma | 95 (96.0) | |||
| Head | 73 (73.7) | |||
| Other sites | 22 (22.3) | |||
| Myocardial infarction | 1 (1.0) | |||
| Drowning | 2 (2.0) | |||
| Lightning-strike | 1 (1.0) | |||
| Indoors | 87 (87.9) | |||
| Outdoors | 11 (11.1) | |||
| Vehicle | 1 (1.0) | |||
| At the scene | 79 (79.8) | |||
| In hospital | 18 (18.2) | |||
| On the way to hospital | 2 (2.0) | |||
| 99 | ||||
Note: CI = confidence interval; RR = risk ratio. a Rate per 10,000 populations in 8 affected towns of Funing County (Banhu, Chenliang, Fucheng, Guoshu, Shizhuang, Shuoji, Wutan, Xingou); * Indicates statistically significant data.
Figure 2Characteristics of deaths and injuries of the tornado in Funing, 23 June 2016. (A) Death and injury rate among males and females; (B) cause and location of decedents; (C) location of decedents among different age and gender groups.
Demographics of injuries in the Funing tornado, 23 June 2016.
| Minor Injury | Severe Injury | Total Injury | |||||||
|---|---|---|---|---|---|---|---|---|---|
| No. | Rate a | RR (95% CI) | No. | Rate a | RR (95% CI) | No. | Rate a | RR (95% CI) | |
| 0–4 | 3 | 1.03 | 0.95 (0.26, 3.51) | 0 | 0.00 | 0 | 3 | 1.03 | 0.71 (0.20, 2.53) |
| 5–14 | 6 | 1.08 | 0.99 (0.35, 2.79) | 3 | 0.54 | 1.49 (0.30, 7.38) | 9 | 1.61 | 1.12 (0.47, 2.65) |
| 15–24 | 5 | 0.73 | 0.67 (0.22, 2.00) | 3 | 0.44 | 1.21 (0.24, 5.99) | 8 | 1.16 | 0.81 (0.33, 1.97) |
| 25–34 | 8 | 1.02 | 0.94 (0.36, 2.43) | 7 | 0.89 | 2.46 (0.64, 9.51) | 15 | 1.90 | 1.32 (0.62, 2.81) |
| 35–44 | 9 | 1.08 | 1.00 (Ref.) | 3 | 0.36 | 1.00 (Ref.) | 12 | 1.45 | 1.00 (Ref.) |
| 45–54 | 37 | 4.59 | 4.24 (2.04, 8.78) * | 10 | 1.24 | 3.43 (0.95, 12.48) | 47 | 5.83 | 4.04 (2.14, 7.61) * |
| 55–64 | 58 | 9.66 | 8.91 (4.42, 17.99) * | 9 | 1.50 | 4.15 (1.12, 15.33) * | 67 | 11.16 | 7.72 (4.18, 14.28) * |
| 65–74 | 79 | 23.90 | 22.05 (11.06, 43.95) * | 15 | 4.54 | 12.56 (3.64, 43.39) * | 94 | 28.44 | 19.68 (10.79, 35.89) * |
| 75–84 | 60 | 38.30 | 35.34 (17.53, 71.22) * | 12 | 7.66 | 21.20 (5.98, 75.14) * | 72 | 45.97 | 31.80 (17.26, 58.61) * |
| 85+ | 9 | 23.94 | 22.09 (8.76, 55.68) * | 1 | 2.66 | 7.36 (0.77, 70.80) | 10 | 26.60 | 18.41 (7.95, 42.63) * |
| Male | 130 | 5.02 | 1.00 (Ref.) | 28 | 1.08 | 1.00 (Ref.) | 158 | 6.10 | 1.00 (Ref.) |
| Female | 144 | 5.77 | 1.15 (0.91, 1.46) | 35 | 1.40 | 1.30 (0.79, 2.13) | 179 | 7.18 | 1.18 (0.95, 1.46) |
| 274 | 5.39 | 63 | 1.24 | 337 | 6.63 | ||||
Note: CI = confidence interval; RR = risk ratio. a Rate per 10,000 populations in 8 affected towns of Funing County (Banhu, Chenliang, Fucheng, Guoshu, Shizhuang, Shuoji, Wutan, Xingou); * Indicates statistically significant data.
Figure 3Change-points of notifiable infectious diseases in Funing from January 2010 to September 2016. Results show the time series (1st week, 2010–40th week, 2016) of weekly cases on nine notable infectious diseases. Blue line represents the onset of tornado.