ArticleEmerging microbes & infections2020
Spatial and temporal patterns of dengue incidence in Bhutan: a Bayesian analysis.
Article in Emerging microbes & infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 6 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Battling dengue in a warming world: How climate and urbanization shape transmission in low- and middle-income countries (a rapid review).PLoS neglected tropical diseases · 2026Pooled it
- A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk.BMC infectious diseases · 2023Pooled it
- A Systematic Review of Areal Units and Adjacency Used in Bayesian Spatial and Spatio-Temporal Conditional Autoregressive Models in Health Research.International journal of environmental research and public health · 2023Pooled it
- Clinical features and outcomes of COVID-19 and dengue co-infection: a systematic review.BMC infectious diseases · 2021Pooled it
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Different domains of dengue research in the Philippines: A systematic review and meta-analysis of questionnaire-based studies.PloS one · 2021Pooled it
- Predicting spatio-temporal dynamics of dengue using INLA (integrated nested laplace approximation) in Yogyakarta, Indonesia.BMC public health · 2025Article
- Meteorological, Socioeconomic, and Environmental Factors Influencing Human Brucellosis Occurrence in Yunnan, China, 2006-2021: A Bayesian Spatiotemporal Modeling Study.Transboundary and emerging diseases · 2025Article
- Spatial autocorrelation of environmental factors influencing dengue outbreaks using Moran's I: A study from Nepal (2020-2023).PloS one · 2025Article
- Bayesian spatio-temporal analysis of dengue transmission in Lao PDR.Scientific reports · 2024Article
- Unraveling Dengue Virus Diversity in Asia: An Epidemiological Study through Genetic Sequences and Phylogenetic Analysis.Viruses · 2024Review
- Dengue fever mapping in Bangladesh: A spatial modeling approach.Health science reports · 2024Article
- Building a pathway to One Health surveillance and response in Asian countries.Science in One Health · 2024Review
- Identifying socio-ecological drivers of common cold in Bhutan: a national surveillance data analysis.Scientific reports · 2022Article
- Mapping Dengue in children in a Colombian Caribbean Region: clinical and epidemiological analysis of more than 3500 cases.Le infezioni in medicina · 2022Article
- Article
- Integrating Spatial Modelling and Space-Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan.International journal of environmental research and public health · 2021Article
- Evolution, heterogeneity and global dispersal of cosmopolitan genotype of Dengue virus type 2.Scientific reports · 2021Article
- Impact of Climate Change on Health and Well-Being of People in Hindu Kush Himalayan Region: A Narrative Review.Frontiers in physiology · 2021Review
- Notified dengue deaths in Myanmar (2017-18): profile and diagnosis delays.F1000Research · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue is an important emerging vector-borne disease in Bhutan. This study aimed to quantify the spatial and temporal patterns of dengue and their relationship to environmental factors in dengue-affected areas at the sub-district level. A multivariate zero-inflated Poisson regression model was developed using a Bayesian framework with spatial and spatiotemporal random effects modelled using a conditional autoregressive prior structure. The posterior parameters were estimated using Bayesian Markov Chain Monte Carlo simulation with Gibbs sampling. A total of 708 dengue cases were notified through national surveillance between January 2016 and June 2019. Individuals aged ≤14 years were found to be 53% (95% CrI: 42%, 62%) less likely to have dengue infection than those aged >14 years. Dengue cases increased by 63% (95% CrI: 49%, 77%) for a 1°C increase in maximum temperature, and decreased by 48% (95% CrI: 25%, 64%) for a one-unit increase in normalized difference vegetation index (NDVI). There was significant residual spatial clustering after accounting for climate and environmental variables. The temporal trend was significantly higher than the national average in eastern sub-districts. The findings highlight the impact of climate and environmental variables on dengue transmission and suggests prioritizing high-risk areas for control strategies.
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