ArticlePLoS neglected tropical diseases2022
An assessment of remotely sensed environmental variables on Dengue epidemiology in Central India.
Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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11 citing papers in PubMed, 1 synthesis or guideline 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
- Climate and socioeconomic factors drive heterogeneous dengue risk escalation in the Chinese population.Communications medicine · 2026Article
- Impact of urban heat island effect on dengue incidence: a remote sensing approach using thermal and high-resolution optical imagery.BMC public health · 2025Article
- Thermal influence on development and morphological traits of Aedes aegypti in central India and its relevance to climate change.Parasites & vectors · 2025Article
- Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19.PLoS neglected tropical diseases · 2025Article
- Precision Prediction for Dengue Fever in Singapore: A Machine Learning Approach Incorporating Meteorological Data.Tropical medicine and infectious disease · 2024Article
- Frequent outbreaks of dengue fever in South Asian countries-A correspondence analyzing causative factors and ways to avert.Health science reports · 2023Article
- Disentangling local and global climate drivers in the population dynamics of mosquito-borne infections.Science advances · 2023Article
- Molecular surveillance of dengue virus in field-collectedFrontiers in microbiology · 2023Article
- Aedes aegypti container preference for oviposition and its possible implications for dengue vector surveillance in Delhi, India.Epidemiology and health · 2023Article
- Attitude towards dengue control efforts with the potential of digital technology during COVID-19: partial least squares-structural equation modeling.F1000Research · 2022Article
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15 authors.
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Abstract
In recent decades, dengue has been expanding rapidly in the tropical cities. Even though environmental factors and landscape features profoundly impact dengue vector abundance and disease epidemiology, significant gaps exist in understanding the role of local environmental heterogeneity on dengue epidemiology in India. In this study, we assessed the role of remotely sensed climatic factors (rainfall, temperature and humidity) and landscape variables (land use pattern, vegetation and built up density) on dengue incidence (2012-2019) in Bhopal city, Central India. Dengue hotspots in the city were assessed through geographical information system based spatial statistics. Dengue incidence increased from 0.59 cases in 2012 to 9.11 cases in 2019 per 10,000 inhabitants, and wards located in Southern Bhopal were found to be dengue hotspots. Distributed lag non-linear model combined with quasi Poisson regression was used to assess the exposure-response association, relative risk (RR), and delayed effects of environmental factors on dengue incidence. The analysis revealed a non-linear relationship between meteorological variables and dengue cases. The model shows that the risk of dengue cases increases with increasing mean temperature, rainfall and absolute humidity. The highest RR of dengue cases (~2.0) was observed for absolute humidity ≥60 g/m3 with a 5-15 week lag. Rapid urbanization assessed by an increase in the built-up area (a 9.1% increase in 2020 compared to 2014) could also be a key factor driving dengue incidence in Bhopal city. The study sheds important insight into the synergistic effects of both the landscape and climatic factors on the transmission dynamics of dengue. Furthermore, the study provides key baseline information on the climatic variables that can be used in the micro-level dengue prediction models in Bhopal and other cities with similar climatic conditions.
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