Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (6): 103-108.doi: 10.6040/j.issn.1671-7554.0.2022.1124

• 公共卫生与和管理学 • Previous Articles    

Evaluation on heat-health risk warning in Jinan based on Baidu heat stroke search index

LIU Jing1,2, CHEN Chen2, WANG Yanwen2, CUI Liangliang3, HAN Dandan1, LI Tiantian2   

  1. 1. Key Laboratory of Public Health Safety of Hebei Province, College of Public Health, Hebei University, Baoding 071002, Hebei, China;
    2. China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China;
    3. Department of Environmental Health, Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
  • Published:2023-06-06

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Abstract: Objective To evaluate the sensitivity of the heat-health risk warning(HHRW)model in Jinan based on the heat stroke search index(HSSI), and to provide scientific basis for its popularization and application. Methods The HSSI and meteorological data during summer(June to September)of 2018 to 2020 in Jinan were collected. The association(β value)between the distribution of warning ranks and HSSI was analyzed with generalized linear model, and the occurrence of heat stroke in different warning levels was explored. Results In the HHRW model, the frequency of key concern, yellow, orange and red warning levels were 170, 17, 12 and 5, respectively. The evaluation results of the key concern level showed that, the β value of key concern level and above was 77.4(95%CI: 58.6-96.2). The evaluation results of the warning level showed that, the β value of key concern level and warning level were 69.7(95%CI: 55.0-84.4)and 232.1(95%CI: 207.2-257.1), respectively. The evaluation results of the three-level warning showed that, the β value of yellow, orange and red warning levels were 193.4(95%CI: 164.8-221.9), 254.2(95%CI: 220.6-287.8)and 346.1(95%CI: 296.6-395.6), respectively. The comparison between HHRW and high temperature warning(HTW)of the China Meteorological Administration showed a significant association between HSSI and HHRW, but not between HSSI and HTW. Conclusion There was a good increasing relationship between the distribution of HHRW warning ranks and the occurrence of heat stroke, suggesting that the HHRW model based on death risk is also suitable for heat stroke risk warning during summer.

Key words: Heat stroke, Baidu search index, Heatwave, Early warning

CLC Number: 

  • R122.2
[1] Robine JM, Cheung SLK, Le RS, et al. Death toll exceeded 70 000 in Europe during the summer of 2003 [J]. CR Biol, 2008, 331(2): 171-178.
[2] World Health Organization. Quantitative risk assessment of the effects of climate change on selected causes of death, 2030s and 2050s [M]. Genève: World Health Organization, 2014.
[3] Li Y, Li C, Luo S, et al. Impacts of extremely high temperature and heatwave on heatstroke in Chongqing, China [J]. Environ Sci Pollut Res Int, 2017, 24(9): 8534-8540.
[4] World Meteorological Organization and World Health Organization. Heatwaves and health: guidance on warning-system development [M]. Genève: World Meteorological Organization and World Health Organization, 2015.
[5] IPCC. Climate change 2014: impacts, adaptation, and vulnerability. part a: global and sectoral aspects. working group II to the fifth assessment report of the intergovernmental panel on climate change [M]. Cambridge and New York: Cambridge University Press, 2014.
[6] 陈晨, 刘晶, 仲宇, 等. 基于人群健康风险的高温热浪预警研究进展[J]. 中华预防医学杂志, 2022, 56(10): 1461-1466. CHEN Chen, LIU Jing, ZHONG Yu, et al. A review on heat-wave early warning based on population health risk [J]. Chinese Journal of Preventive Medicine, 2022, 56(10): 1461-1466.
[7] Casanueva A, Burgstall A, Kotlarski S, et al. Overview of existing heat-health warning systems in Europe [J]. Int J Environ Res Public Health, 2019, 16(15): 2657. doi: 10.3390/ijerph16152657.
[8] Toloo G, FitzGerald G, Aitken P, et al. Evaluating the effectiveness of heat warning systems: systematic review of epidemiological evidence [J]. Int J Public Health, 2013, 58(5): 667-681.
[9] 中国气象局气候变化中心. 中国气候变化蓝皮书(2021)[M]. 北京: 科学出版社, 2021.
[10] Li T, Chen C, Cai W. The global need for smart heat-health warning systems [J]. Lancet, 2022, 400(10362): 1511-1512.
[11] 济南市疾病预防控制中心环境健康所(地方病管理办公室). 市疾控中心建成高温热浪健康风险预警预测平台并向公众发布 [EB/OL].(2021-08-26)[2022-08-21]. http://www.jncdc.cn/index.php?m=content&c=index&a=show&catid=659&id=25705.
[12] Li T, Ding F, Sun Q, et al. Heat stroke internet searches can be a new heatwave health warning surveillance indicator [J]. Sci Rep, 2016, 6: 37294. doi: 10.1038/srep37294.
[13] Wang Y, Song Q, Du Y, et al. A random forest model to predict heatstroke occurrence for heatwave in China [J]. Sci Total Environ, 2018, 650(Pt2):3048-3053.
[14] Han Q, Liu Z, Jia J, et al. Web-based data to quantify meteorological and geographical effects on heat stroke: case study in China [J]. Geohealth, 2022, 6(8): e2022GH000587. doi: 10.1029/2022GH000587.
[15] 中国气象科普网. 高温预警信号及防御指南 [EB/OL].(2021-02-01)[2022-08-21]. http://www.qxkp.net/qxbk/yjxhjfyzn/202103/t20210312_2948454.html.
[16] 李传玺, 刘起勇, 马伟. 广州市极端降水事件对不同特征人群登革热发病的影响 [J]. 山东大学学报(医学版), 2021, 59(12): 151-157. LI Chuanxi, LIU Qiyong, MA Wei. Effects of extreme precipitation events on the incidence of dengue fever in different characteristic populations in Guangzhou [J]. Journal of Shandong University(Health Sciences), 2021, 59(12): 151-157.
[17] 薛莉, 胡文琦, 魏然, 等. 2011~2013年高温热浪对苍南县高血压门诊就诊量的影响 [J]. 山东大学学报(医学版), 2018, 56(8): 63-69. XUE Li, HU Wenqi, WEI Ran, et al. Impacts of heatwaves on the number of hypertensive outpatient visits in Cangnan County during 2011 and 2013 [J]. Journal of Shandong University(Health Sciences), 2018, 56(8): 63-69.
[18] Kalkstein LS, Jamason PF, Greene JS, et al. The Philadelphia hot weather-health watch/warning system: development and application, summer 1995 [J]. Bull Am Meteorol Soc, 1996, 77(7): 1519-1528.
[19] Public Health England. Heatwave plan for England [M]. London: Public Health England, 2019.
[20] Pascal M, Laaidi K, Ledrans M, et al. Frances heat health watch warning system [J]. Int J Biometeorol, 2006, 50(3): 144-153.
[21] Mancha CL. Plan nacional de actuaciones preventivas de los efectos del exceso de temperaturas sobre la salud [M]. CastillaLa Mancha: Consejería de Salud y Bienestar Social Dirección General de Salud Pública, 2010.
[22] IPCC. Climate change 2022: impacts, adaptation, and vulnerability. contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change [M]. Cambridge and New York: Cambridge University Press, 2022.
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