Literature DB >> 17877215

Potential association of dengue hemorrhagic fever incidence and remote senses land surface temperature, Thailand, 1998.

Narong Nitatpattana1, Pratap Singhasivanon, Honda Kiyoshi, Haja Andrianasolo, Sutee Yoksan, Jean-Paul Gonzalez, Philippe Barbazan.   

Abstract

A pilot study was designed to analyze a potential association between dengue hemorrhagic fever (DHF) incidence and, temperature computed by satellite. DHF is a mosquito transmitted disease, and water vapor and humidity are known to have a positive effect on mosquito life by increasing survival time and shortening the development cycle. Among other available satellite data, Land Surface Temperature (LST) was chosen as an indicator that combined radiated earth temperature and atmospheric water vapor concentration. Monthly DHF incidence was recorded by province during the 1998 epidemic and obtained as a weekly combined report available from the National Ministry of Public Health. Conversely, LST was calculated using remotely sensed data obtained from thermal infrared sensors of NOAA satellites and computed on a provincial scale. Out of nine selected study provinces, five (58.3%) exhibited an LST with a significant positive correlation with rainfall (p < 0.05). In four out of nineteen surveyed provinces (21.3%), LST showed a significant positive correlation with DHF incidence (p < 0.05). Positive association between LST and DHF incidence was significantly correlated in 75% of the cases during non-epidemic months, while no correlation was found during epidemic months. Non-climatic factors are supposed to be at the origin of this discrepancy between seasonality in climate (LST) and DHF incidence during epidemics.

Entities:  

Mesh:

Year:  2007        PMID: 17877215

Source DB:  PubMed          Journal:  Southeast Asian J Trop Med Public Health        ISSN: 0125-1562            Impact factor:   0.267


  6 in total

1.  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

2.  Modeling and Predicting Dengue Incidence in Highly Vulnerable Countries using Panel Data Approach.

Authors:  Asim Anwar; Noman Khan; Muhammad Ayub; Faisal Nawaz; Asim Shah; Antoine Flahault
Journal:  Int J Environ Res Public Health       Date:  2019-06-28       Impact factor: 3.390

Review 3.  Climate change and dengue: a critical and systematic review of quantitative modelling approaches.

Authors:  Suchithra Naish; Pat Dale; John S Mackenzie; John McBride; Kerrie Mengersen; Shilu Tong
Journal:  BMC Infect Dis       Date:  2014-03-26       Impact factor: 3.090

4.  Possible Factors Influencing the Seroprevalence of Dengue among Residents of the Forest Fringe Areas of Peninsular Malaysia.

Authors:  Juraina Abd-Jamil; Romano Ngui; Syahrul Nellis; Rosmadi Fauzi; Ai Lian Yvonne Lim; Karuthan Chinna; Chee-Sieng Khor; Sazaly AbuBakar
Journal:  J Trop Med       Date:  2020-05-25

5.  Estimating the Threshold Effects of Climate on Dengue: A Case Study of Taiwan.

Authors:  Bao-Linh Tran; Wei-Chun Tseng; Chi-Chung Chen; Shu-Yi Liao
Journal:  Int J Environ Res Public Health       Date:  2020-02-21       Impact factor: 3.390

6.  São Paulo urban heat islands have a higher incidence of dengue than other urban areas.

Authors:  Ricardo Vieira Araujo; Marcos Roberto Albertini; André Luis Costa-da-Silva; Lincoln Suesdek; Nathália Cristina Soares Franceschi; Nancy Marçal Bastos; Gizelda Katz; Vivian Ailt Cardoso; Bronislawa Ciotek Castro; Margareth Lara Capurro; Vera Lúcia Anacleto Cardoso Allegro
Journal:  Braz J Infect Dis       Date:  2014-12-15       Impact factor: 3.257

  6 in total

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