Literature DB >> 26122819

Climate Factors as Important Determinants of Dengue Incidence in Curaçao.

M Limper1, K T D Thai2, I Gerstenbluth3, A D M E Osterhaus4, A J Duits5, E C M van Gorp1,4.   

Abstract

Macro- and microclimates may have variable impact on dengue incidence in different settings. We estimated the short-term impact and delayed effects of climate variables on dengue morbidity in Curaçao. Monthly dengue incidence data from 1999 to 2009 were included to estimate the short-term influences of climate variables by employing wavelet analysis, generalized additive models (GAM) and distributed lag nonlinear models (DLNM) on rainfall, temperature and relative humidity in relation to dengue incidence. Dengue incidence showed a significant irregular 4-year multi-annual cycle associated with climate variables. Based on GAM, temperature showed a U-shape, while humidity and rainfall exhibited a dome-shaped association, suggesting that deviation from mean temperature increases and deviation from mean humidity and rainfall decreases dengue incidence, respectively. Rainfall was associated with an immediate increase in dengue incidence of 4.1% (95% CI: 2.2-8.1%) after a 10-mm increase, with a maximum increase of 6.5% (95% CI: 3.2-10.0%) after 1.5 month lag. A 1 °C decrease of mean temperature was associated with a RR of 17.4% (95% CI: 11.2-27.0%); the effect was inversed for a 1°C increase of mean temperature (RR= 0.457, 95% CI: 0.278-0.752). Climate variables are important determinants of dengue incidence and provide insight into its short-term effects. An increase in mean temperature was associated with lower dengue incidence, whereas lower temperatures were associated with higher dengue incidence.
© 2015 Blackwell Verlag GmbH.

Entities:  

Keywords:  Dengue fever; climate factors; epidemiology

Mesh:

Year:  2015        PMID: 26122819     DOI: 10.1111/zph.12213

Source DB:  PubMed          Journal:  Zoonoses Public Health        ISSN: 1863-1959            Impact factor:   2.702


  10 in total

1.  Modeling the spatially varying risk factors of dengue fever in Jhapa district, Nepal, using the semi-parametric geographically weighted regression model.

Authors:  Bipin Kumar Acharya; ChunXiang Cao; Tobia Lakes; Wei Chen; Shahid Naeem; Shreejana Pandit
Journal:  Int J Biometeorol       Date:  2018-09-04       Impact factor: 3.787

2.  Community participation in mosquito breeding site control: an interdisciplinary mixed methods study in Curaçao.

Authors:  Jelte Elsinga; Henry T van der Veen; Izzy Gerstenbluth; Johannes G M Burgerhof; Arie Dijkstra; Martin P Grobusch; Adriana Tami; Ajay Bailey
Journal:  Parasit Vectors       Date:  2017-09-19       Impact factor: 3.876

3.  Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines.

Authors:  Thaddeus M Carvajal; Katherine M Viacrusis; Lara Fides T Hernandez; Howell T Ho; Divina M Amalin; Kozo Watanabe
Journal:  BMC Infect Dis       Date:  2018-04-17       Impact factor: 3.090

4.  Statistical modeling of the effect of rainfall flushing on dengue transmission in Singapore.

Authors:  Corey M Benedum; Osama M E Seidahmed; Elfatih A B Eltahir; Natasha Markuzon
Journal:  PLoS Negl Trop Dis       Date:  2018-12-06

5.  Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects.

Authors:  Wenqi Hu; Yuying Li; Weixiao Han; Li Xue; Wenchao Zhang; Wei Ma; Peng Bi
Journal:  Sci Total Environ       Date:  2017-11-22       Impact factor: 7.963

6.  Temporal trend and spatial clustering of the dengue fever prevalence in West Java, Indonesia.

Authors:  Ilham Saiful Fauzi; Nuning Nuraini; Regina Wahyudyah Sonata Ayu; Bony Wiem Lestari
Journal:  Heliyon       Date:  2022-08-25

7.  Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model.

Authors:  Raquel Elizabeth Gómez Gómez; Jeehyun Kim; Kwan Hong; Jin Young Jang; Trishna Kisiju; Soojin Kim; Byung Chul Chun
Journal:  Int J Environ Res Public Health       Date:  2022-09-26       Impact factor: 4.614

8.  The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China.

Authors:  Yuzhou Zhang; Chuchu Ye; Jianxing Yu; Weiping Zhu; Yuanping Wang; Zhongjie Li; Zhiwei Xu; Jian Cheng; Ning Wang; Lipeng Hao; Wenbiao Hu
Journal:  Sci Total Environ       Date:  2019-10-28       Impact factor: 7.963

9.  Understanding risk communication for prevention and control of vector-borne diseases: A mixed-method study in Curaçao.

Authors:  Vaitiare Mulderij-Jansen; Jelte Elsinga; Izzy Gerstenbluth; Ashley Duits; Adriana Tami; Ajay Bailey
Journal:  PLoS Negl Trop Dis       Date:  2020-04-13

Review 10.  A Review of Dengue's Historical and Future Health Risk from a Changing Climate.

Authors:  Sutyajeet Soneja; Gina Tsarouchi; Darren Lumbroso; Dao Khanh Tung
Journal:  Curr Environ Health Rep       Date:  2021-07-16
  10 in total

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