• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

菲律宾马尼拉大都会气候因素与登革热发病率的相关性

Correlation of climatic factors and dengue incidence in Metro Manila, Philippines.

作者信息

Su Glenn L Sia

机构信息

Department of Biology, College of Science, De La Salle University, Taft, Manila, Philippines.

出版信息

Ambio. 2008 Jun;37(4):292-4. doi: 10.1579/0044-7447(2008)37[292:cocfad]2.0.co;2.

DOI:10.1579/0044-7447(2008)37[292:cocfad]2.0.co;2
PMID:18686509
Abstract

Dengue is a serious public health problem in Metro Manila, Philippines. Increasing dengue incidence has been attributed to climate change; however, contradicting reports show inconclusive relationships between dengue and climatic factors. This study investigates temperature and rainfall as climatic factors affecting dengue incidence in Metro Manila from 1996 to 2005. Monthly dengue incidence and climatic data for Metro Manila were collected over a 10-y period (1996-2005). Climatic factors temperature and rainfall were linked with dengue incidence through regression analysis. A predictive model equation plots dengue incidence (Y) versus rainfall (X), which suggests that rainfall is significantly correlated to dengue incidence (r2 = 0.377, p < 0.05). No significant correlation between dengue incidence and temperature was established (p > 0.05). Evidence shows dengue incidence in Metro Manila varies with changing rainfall patterns. Intensified surveillance and control of mosquitoes during periods with high rainfall are recommended.

摘要

登革热是菲律宾马尼拉大都会严重的公共卫生问题。登革热发病率上升归因于气候变化;然而,相互矛盾的报告表明登革热与气候因素之间的关系尚无定论。本研究调查了1996年至2005年期间作为影响马尼拉大都会登革热发病率的气候因素的温度和降雨情况。在10年期间(1996 - 2005年)收集了马尼拉大都会的每月登革热发病率和气候数据。通过回归分析将气候因素温度和降雨与登革热发病率联系起来。一个预测模型方程绘制了登革热发病率(Y)与降雨量(X)的关系图,这表明降雨量与登革热发病率显著相关(r2 = 0.377,p < 0.05)。登革热发病率与温度之间未建立显著相关性(p > 0.05)。有证据表明马尼拉大都会的登革热发病率随降雨模式的变化而变化。建议在降雨量大的时期加强对蚊子的监测和控制。

相似文献

1
Correlation of climatic factors and dengue incidence in Metro Manila, Philippines.菲律宾马尼拉大都会气候因素与登革热发病率的相关性
Ambio. 2008 Jun;37(4):292-4. doi: 10.1579/0044-7447(2008)37[292:cocfad]2.0.co;2.
2
Meteorological factors affecting dengue incidence in Davao, Philippines.影响菲律宾达沃登革热发病率的气象因素。
BMC Public Health. 2018 May 15;18(1):629. doi: 10.1186/s12889-018-5532-4.
3
Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines.机器学习方法揭示了菲律宾马尼拉大都市使用气象因素的登革热发病率的时间模式。
BMC Infect Dis. 2018 Apr 17;18(1):183. doi: 10.1186/s12879-018-3066-0.
4
Effect of temperature, relative humidity and rainfall on dengue fever and leptospirosis infections in Manila, the Philippines.温度、相对湿度和降雨对菲律宾马尼拉登革热和钩端螺旋体病感染的影响。
Epidemiol Infect. 2017 Jan;145(1):78-86. doi: 10.1017/S095026881600203X. Epub 2016 Sep 9.
5
The climatic factors affecting dengue fever outbreaks in southern Taiwan: an application of symbolic data analysis.影响台湾南部登革热疫情爆发的气候因素:符号数据分析的应用。
Biomed Eng Online. 2018 Nov 6;17(Suppl 2):148. doi: 10.1186/s12938-018-0575-4.
6
Dengue surveillance in Metro Manila.
Southeast Asian J Trop Med Public Health. 1997 Sep;28(3):530-4.
7
Empirical model for estimating dengue incidence using temperature, rainfall, and relative humidity: a 19-year retrospective analysis in East Delhi.利用温度、降雨量和相对湿度估算登革热发病率的经验模型:东德里19年回顾性分析
Epidemiol Health. 2016 Nov 27;38:e2016052. doi: 10.4178/epih.e2016052. eCollection 2016.
8
Knowledge, Attitude, and Practices Regarding Dengue Fever among Pediatric and Adult In-Patients in Metro Manila, Philippines.菲律宾马尼拉都会区儿科和成年住院患者对登革热的知识、态度和实践。
Int J Environ Res Public Health. 2019 Nov 26;16(23):4705. doi: 10.3390/ijerph16234705.
9
An observation on correlation between rainfall and the prevalence of clinical cases of dengue in Thailand.泰国降雨与登革热临床病例流行率之间的相关性观察
J Vector Borne Dis. 2006 Jun;43(2):73-6.
10
Nutrition situation in metro Manila.马尼拉大都会的营养状况。
Southeast Asian J Trop Med Public Health. 1992;23 Suppl 3:31-45.

引用本文的文献

1
Disentangling climate's dual role in dengue dynamics: A multiregion causal analysis study.厘清气候在登革热动态中的双重作用:一项多区域因果分析研究。
Sci Adv. 2025 Feb 14;11(7):eadq1901. doi: 10.1126/sciadv.adq1901. Epub 2025 Feb 12.
2
Identification of climate-sensitive disease incidences in vietnam: A longitudinal retrospective analysis of infectious disease rates between 2014 and 2022.越南气候敏感型疾病发病率的识别:2014年至2022年传染病发病率的纵向回顾性分析。
Heliyon. 2025 Jan 13;11(2):e41902. doi: 10.1016/j.heliyon.2025.e41902. eCollection 2025 Jan 30.
3
Projecting temperature-related dengue burden in the Philippines under various socioeconomic pathway scenarios.
在不同社会经济路径情景下预测菲律宾与温度相关的登革热负担。
Front Public Health. 2024 Dec 23;12:1420457. doi: 10.3389/fpubh.2024.1420457. eCollection 2024.
4
Dengue in Cebu City, Philippines: A Pilot Study of Predictive Models and Visualizations for Public Health.菲律宾宿务市的登革热:公共卫生预测模型和可视化的试点研究。
Am J Trop Med Hyg. 2023 Dec 11;110(1):179-187. doi: 10.4269/ajtmh.23-0250. Print 2024 Jan 3.
5
Assessing the burden of dengue among household members in Alaminos, Laguna, the Philippines: a prospective cohort study.评估菲律宾拉古纳省阿拉米诺斯市家庭成员中的登革热负担:一项前瞻性队列研究。
Asian Biomed (Res Rev News). 2021 Oct 29;15(5):213-222. doi: 10.2478/abm-2021-0027. eCollection 2021 Oct.
6
Genetic Diversity and Dispersal of DENGUE Virus among Three Main Island Groups of the Philippines during 2015-2017.2015-2017 年期间菲律宾三个主要岛屿群登革热病毒的遗传多样性和传播。
Viruses. 2023 Apr 28;15(5):1079. doi: 10.3390/v15051079.
7
Association of climate factors with dengue incidence in Bangladesh, Dhaka City: A count regression approach.孟加拉国达卡市气候因素与登革热发病率的关联:一种计数回归方法。
Heliyon. 2023 May 5;9(5):e16053. doi: 10.1016/j.heliyon.2023.e16053. eCollection 2023 May.
8
Effects of high temperatures and heatwaves on dengue fever: a systematic review and meta-analysis.高温热浪对登革热的影响:系统评价和荟萃分析。
EBioMedicine. 2023 May;91:104582. doi: 10.1016/j.ebiom.2023.104582. Epub 2023 Apr 21.
9
A retrospective study of environmental predictors of dengue in Delhi from 2015 to 2018 using the generalized linear model.2015 年至 2018 年德里登革热环境预测因素的回顾性研究:广义线性模型。
Sci Rep. 2022 May 16;12(1):8109. doi: 10.1038/s41598-022-12164-x.
10
Vector Specificity of Arbovirus Transmission.虫媒病毒传播的载体特异性
Front Microbiol. 2021 Dec 9;12:773211. doi: 10.3389/fmicb.2021.773211. eCollection 2021.