Literature DB >> 33566797

Dengue risk assessment using multicriteria decision analysis: A case study of Bhutan.

Tsheten Tsheten1,2, Archie C A Clements3,4, Darren J Gray1, Kinley Wangdi1.   

Abstract

BACKGROUND: Dengue is the most rapidly spreading vector-borne disease globally, with a 30-fold increase in global incidence over the last 50 years. In Bhutan, dengue incidence has been on the rise since 2004, with numerous outbreaks reported across the country. The aim of this study was to identify and map areas that are vulnerable to dengue in Bhutan. METHODOLOGY/PRINCIPAL
FINDINGS: We conducted a multicriteria decision analysis (MCDA) using a weighted linear combination (WLC) to obtain a vulnerability map of dengue. Risk factors (criteria) were identified and assigned with membership values for vulnerability according to the available literature. Sensitivity analysis and validation of the model was conducted to improve the robustness and predictive ability of the map. Our study revealed marked differences in geographical vulnerability to dengue by location and season. Low-lying areas and those located along the southern border were consistently found to be at higher risk of dengue. The vulnerability extended to higher elevation areas including some areas in the Capital city Thimphu during the summer season. The higher risk was mostly associated with relatively high population density, agricultural and built-up landscapes and relatively good road connectivity.
CONCLUSIONS: Using MCDA, our study identified vulnerable areas in Bhutan during specific seasons when and where the transmission of dengue is most likely to occur. This study provides evidence for the National Vector-borne Disease Control programme to optimize the use of limited public health resources for surveillance and vector control, to mitigate the public health threat of dengue.

Entities:  

Year:  2021        PMID: 33566797      PMCID: PMC7875403          DOI: 10.1371/journal.pntd.0009021

Source DB:  PubMed          Journal:  PLoS Negl Trop Dis        ISSN: 1935-2727


  40 in total

1.  Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa.

Authors:  C Simoonga; J Utzinger; S Brooker; P Vounatsou; C C Appleton; A S Stensgaard; A Olsen; T K Kristensen
Journal:  Parasitology       Date:  2009-07-23       Impact factor: 3.234

2.  From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives.

Authors:  S I Hay; R W Snow; D J Rogers
Journal:  Parasitol Today       Date:  1998-08

3.  Spatiotemporal responses of dengue fever transmission to the road network in an urban area.

Authors:  Qiaoxuan Li; Wei Cao; Hongyan Ren; Zhonglin Ji; Huixian Jiang
Journal:  Acta Trop       Date:  2018-03-30       Impact factor: 3.112

4.  Transmission thresholds for dengue in terms of Aedes aegypti pupae per person with discussion of their utility in source reduction efforts.

Authors:  D A Focks; R J Brenner; J Hayes; E Daniels
Journal:  Am J Trop Med Hyg       Date:  2000-01       Impact factor: 2.345

Review 5.  Vector dynamics and transmission of dengue virus: implications for dengue surveillance and prevention strategies: vector dynamics and dengue prevention.

Authors:  Thomas W Scott; Amy C Morrison
Journal:  Curr Top Microbiol Immunol       Date:  2010       Impact factor: 4.291

6.  Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015.

Authors: 
Journal:  Lancet       Date:  2016-10-08       Impact factor: 79.321

7.  Spatiotemporal distribution of dengue vectors & identification of high risk zones in district Sonitpur, Assam, India.

Authors:  Momi Das; Reji Gopalakrishnan; Dharmendra Kumar; Jyotsna Gayan; Indra Baruah; Vijay Veer; Prafulla Dutta
Journal:  Indian J Med Res       Date:  2014-08       Impact factor: 2.375

8.  Empirical model for estimating dengue incidence using temperature, rainfall, and relative humidity: a 19-year retrospective analysis in East Delhi.

Authors:  Vishnampettai G Ramachandran; Priyamvada Roy; Shukla Das; Narendra Singh Mogha; Ajay Kumar Bansal
Journal:  Epidemiol Health       Date:  2016-11-27

9.  Dengue Situation in Bangladesh: An Epidemiological Shift in terms of Morbidity and Mortality.

Authors:  Pulak Mutsuddy; Sanya Tahmina Jhora; Abul Khair Mohammad Shamsuzzaman; S M Golam Kaisar; Md Nasir Ahmed Khan
Journal:  Can J Infect Dis Med Microbiol       Date:  2019-03-10       Impact factor: 2.471

10.  A new combination rule for Spatial Decision Support Systems for epidemiology.

Authors:  Luciana Moura Mendes de Lima; Laísa Ribeiro de Sá; Ana Flávia Uzeda Dos Santos Macambira; Jordana de Almeida Nogueira; Rodrigo Pinheiro de Toledo Vianna; Ronei Marcos de Moraes
Journal:  Int J Health Geogr       Date:  2019-11-09       Impact factor: 3.918

View more
  1 in total

1.  Dengue risk zone mapping of Thiruvananthapuram district, India: a comparison of the AHP and F-AHP methods.

Authors:  G Harsha; T S Anish; A Rajaneesh; Megha K Prasad; Ronu Mathew; Pratheesh C Mammen; R S Ajin; Sekhar L Kuriakose
Journal:  GeoJournal       Date:  2022-09-16
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.