Literature DB >> 12793011

[Relationship of dengue fever epidemic to aedes density changed by climate factors in Guangdong Province].

Bintang Yi1, Zhiying Zhang, Dezhong Xu, Yunzhen Xi.   

Abstract

In order to explore and quantify the relation between probability of dengue episode and aedes density, and climate factors, and also, to provide scientific approach for prevention and supervision of dengue fever, data on dengue fever cases, aedes vector's supervision and climate factors such as average air temperature, lowest air temperature, highest air temperature, sunlight, rainfall and relative humidity were collected and, were analyzed by correlation analysis, stepwise regression and logistic regression method. The results showed that the logistic regression equation: p (1) = 1/[1 + e-(-7.750 + 0.391 BI)], indicating that meteorology parameter correlating with breteau index(BI) were rainfall, sunlight, average air temperature, lowest average air temperature and relative humidity; by stepwise regression analysis, the regression equation: viz.: YBI = 24.800 + 0.826 X1 + 0.020 X2 - 0.418X3, X1 representing lowest average air temperature, and X2 representing rainfall and X3 representing relative humidity. It is suggested that the influence of climate factor on vector aedes density is complicated. But its primary influence factors are lowest average air temperature, rainfall and relative humidity. The primary influence factors of dengue episode are breteau index.

Entities:  

Mesh:

Year:  2003        PMID: 12793011

Source DB:  PubMed          Journal:  Wei Sheng Yan Jiu        ISSN: 1000-8020


  10 in total

1.  Identifying the high-risk areas and associated meteorological factors of dengue transmission in Guangdong Province, China from 2005 to 2011.

Authors:  J Fan; H Lin; C Wang; L Bai; S Yang; C Chu; W Yang; Q Liu
Journal:  Epidemiol Infect       Date:  2013-07-03       Impact factor: 4.434

2.  Estimates of meteorological variability in association with dengue cases in a coastal city in northern Vietnam: an ecological study.

Authors:  Le Thi Thanh Xuan; Pham Van Hau; Do Thi Thu; Do Thi Thanh Toan
Journal:  Glob Health Action       Date:  2014-12-08       Impact factor: 2.640

3.  Climatic-driven seasonality of emerging dengue fever in Hanoi, Vietnam.

Authors:  Thi Thanh Toan Do; Pim Martens; Ngoc Hoat Luu; Pamela Wright; Marc Choisy
Journal:  BMC Public Health       Date:  2014-10-16       Impact factor: 3.295

4.  Long-term predictors of dengue outbreaks in Bangladesh: A data mining approach.

Authors:  Olav Titus Muurlink; Peter Stephenson; Mohammad Zahirul Islam; Andrew W Taylor-Robinson
Journal:  Infect Dis Model       Date:  2018-11-28

5.  The impacts of the built environment on the incidence rate of COVID-19: A case study of King County, Washington.

Authors:  Zerun Liu; Chao Liu; Chenghe Guan
Journal:  Sustain Cities Soc       Date:  2021-07-10       Impact factor: 7.587

6.  Climate change and developing-country cities: implications for environmental health and equity.

Authors:  Diarmid Campbell-Lendrum; Carlos Corvalán
Journal:  J Urban Health       Date:  2007-05       Impact factor: 3.671

7.  Identifying high risk areas of Zika virus infection by meteorological factors in Colombia.

Authors:  Lung-Chang Chien; Francisco Sy; Adriana Pérez
Journal:  BMC Infect Dis       Date:  2019-10-24       Impact factor: 3.090

8.  Interaction of climate and socio-ecological environment drives the dengue outbreak in epidemic region of China.

Authors:  Chenlu Li; Xiaoxu Wu; Scott Sheridan; Jay Lee; Xiaofeng Wang; Jie Yin; Jiatong Han
Journal:  PLoS Negl Trop Dis       Date:  2021-10-04

Review 9.  Climate Change and Vector-Borne Diseases in China: A Review of Evidence and Implications for Risk Management.

Authors:  Yurong Wu; Cunrui Huang
Journal:  Biology (Basel)       Date:  2022-02-25

10.  Alarm Variables for Dengue Outbreaks: A Multi-Centre Study in Asia and Latin America.

Authors:  Leigh R Bowman; Gustavo S Tejeda; Giovanini E Coelho; Lokman H Sulaiman; Balvinder S Gill; Philip J McCall; Piero L Olliaro; Silvia R Ranzinger; Luong C Quang; Ronald S Ramm; Axel Kroeger; Max G Petzold
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

  10 in total

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