Retrospective study on dengue transmission
Influence of climatic factors and spatial prevalence in Chennai during 2016-2017
Bibliographic Data
| ID | 15796407 |
|---|---|
| Authors | S Arunagiri (University of Madras), Bintu G Vasudevan (Presidency University, corresponding author), B Vasudevan, S Sanjeevi Prasad (University of Madras, corresponding author), S Srihamdathwani (University of Madras, corresponding author) |
| Year | 2022 |
| Pages | 9891-9901 |
| Publication date | 2022-05-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Health Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2550-696X • E-ISSN: 2550-6978 |
| Publisher | Universidad Tecnica de Manabi (PUBLISHER • EC) |
| DOI | 10.53730/ijhs.v6ns2.7576 |
| OpenAlex | W4280492513 |
| Language | EN |
| References cited | 6 |
Weather variables, mainly temperature and humidity, influence vectors, viruses, human biology, ecology and consequently the intensity and distribution of vector-borne diseases . The climatic factors connected with Dengue fever happening in Chennai were investigated. The factors accountable for Dengue fever have been recognized and mapped to dengue cases in Chennai city. This work studies the association between yearly climate patterns between 2016 and 2017 and the spread of Dengue fever in Chennai. Monthly rainfall and temperature is taken as the factors of study. The study develops a statistical analysis to quantitatively assess the relationship between climate and Dengue fever. The correlation technique was used to fit the statistical model. The Inverse Distance Weighted (IDW) interpolation and Geographic Information System (GIS) techniques were used in mapping the spatial diffusion of Dengue fever risk zones. The results show that there is a significant correlation between Dengue fever and climate factors for the majority of the study area. Statistical analysis was conducted for comparison of model outputs and predictions
Biology · Cartography · Dengue fever · Geography · Outbreak · Statistical analysis · Statistics · Transmission (telecommunications · Vector (molecular biology · Computer Science · COVID-19 epidemiological studies · Malaria Research and Control · Mathematics · Mosquito-borne diseases and control · Virology
| Highly cited | No |
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