| Author | Knoblauch, Steffen | |
| Author | Heidecke, Julian | |
| Author | Rocha, Antônio A de A | |
| Author | Paulo Filemon Paolucci Pimenta, Paulo Filemon Paolucci Pimenta | |
| Author | Reinmuth, Marcel | |
| Author | Lautenbach, Sven | |
| Author | Brady, Oliver J | |
| Author | Jänisch, Thomas | |
| Author | Resch, Bernd | |
| Author | Biljecki, Filip | |
| Author | Rocklöv, Joacim | |
| Author | Smith, Annelies Wilder- | |
| Author | Bärnighausen, Till | |
| Author | Zipf, Alexander | |
| Access date | 2025-04-11T17:22:32Z | |
| Available date | 2025-04-11T17:22:32Z | |
| Document date | 2025 | |
| Citation | KNOBLAUCH, Steffen et al. Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction. Sci Rep, v. 15, n. 1,7994, 2025. | en_US |
| ISSN | 2045-2322 | en_US |
| URI | https://www.arca.fiocruz.br/handle/icict/69588 | |
| Language | eng | en_US |
| Publisher | Nature Publishing Group | en_US |
| Rights | open access | en_US |
| Title | Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction. | en_US |
| Type | Article | en_US |
| DOI | 10.1038/s41598-025-91950-9 | |
| Abstract | Cities are the hot spots for global dengue transmission. The increasing availability of human movement data obtained from mobile devices presents a substantial opportunity to address this prevailing public health challenge. Leveraging mobile phone data to guide vector control can be relevant for numerous mosquito-borne diseases, where the influence of human commuting patterns impacts not only the dissemination of pathogens but also the daytime exposure to vectors. This study utilizes hourly mobile phone records of approximately 3 million urban residents and daily dengue case counts at the address level, spanning 8 years (2015-2022), to evaluate the importance of modeling human-mosquito interactions at an hourly resolution in elucidating sub-neighborhood dengue occurrence in the municipality of Rio de Janeiro. The findings of this urban study demonstrate that integrating knowledge of Aedes biting behavior with human movement patterns can significantly improve inferences on urban dengue occurrence. The inclusion of spatial eigenvectors and vulnerability indicators such as healthcare access, urban centrality measures, and estimates for immunity as predictors, allowed a further fine-tuning of the spatial model. The proposed concept enabled the explanation of 77% of the deviance in sub-neighborhood DENV infections. The transfer of these results to optimize vector control in urban settings bears significant epidemiological implications, presumably leading to lower infection rates of Aedes-borne diseases in the future. It highlights how increasingly collected human movement patterns can be utilized to locate zones of potential DENV transmission, identified not only by mosquito abundance but also connectivity to high incidence areas considering Aedes peak biting hours. These findings hold particular significance given the ongoing projection of global dengue incidence and urban sprawl. | en_US |
| Affilliation | GIScience Research Group. Heidelberg University. Heidelberg, Germany. / Interdisciplinary Centre of Scientific Computing. Heidelberg University. Heidelberg, Germany. / HeiGIT at Heidelberg University. Heidelberg, Germany. | en_US |
| Affilliation | Interdisciplinary Centre of Scientific Computing. Heidelberg University. Heidelberg, Germany. | en_US |
| Affilliation | Universidade Federal Fluminense. Instituto de Computação. Niterói, RJ, Brasil. | en_US |
| Affilliation | Fundação Oswaldo Cruz. Instituto de Pesquisas René Rachou. Belo Horizonte, MG, Brasil. | en_US |
| Affilliation | HeiGIT at Heidelberg University. Heidelberg, Germany. | en_US |
| Affilliation | HeiGIT at Heidelberg University. Heidelberg, Germany. | en_US |
| Affilliation | Centre for the Mathematical Modelling of Infectious Diseases. London School of Hygiene and Tropical Medicine. London, UK. / Department of Infectious Disease Epidemiology. Faculty of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. London, UK. / Centre on Climate Change and Planetary Health. London School of Hygiene and Tropical Medicine. London, UK. | en_US |
| Affilliation | Center for Global Health and Department of Epidemiology. Colorado School of Public Health. Aurora, USA. | en_US |
| Affilliation | Interdisciplinary Transformation University Austria, Linz, Austria. / Center for Geographic Analysis. Harvard University. Cambridge, USA. | en_US |
| Affilliation | Department of Architecture. National University of Singapore. Singapore, Singapore. / Department of Real Estate. National University of Singapore. Singapore, Singapore. | en_US |
| Affilliation | Interdisciplinary Centre of Scientific Computing. Heidelberg University. Heidelberg, Germany. / Heidelberg Institute of Global Health.University Hospital Heidelberg. Heidelberg, Germany. | en_US |
| Affilliation | World Health Organization. Geneva, Switzerland. | en_US |
| Affilliation | Heidelberg Institute of Global Health.University Hospital Heidelberg. Heidelberg, Germany. | en_US |
| Affilliation | GIScience Research Group. Heidelberg University. Heidelberg, Germany. / Interdisciplinary Centre of Scientific Computing. Heidelberg University. Heidelberg, Germany. / HeiGIT at Heidelberg University. Heidelberg, Germany. | en_US |
| Subject | Aedes biting rates | en_US |
| Subject | Daytime exposure | en_US |
| Subject | Human movement | en_US |
| Subject | Spatial eigenvector mapping | en_US |
| Subject | Urban dengue transmission | en_US |
| Subject | Urban mobility | en_US |
