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While climatic and weather conditions are important drivers of transmission of vector-borne diseases, socio-economic, behavioural, and land-use factors as well as the interactions among them impact transmission dynamics. Analysis of drivers of climate-sensitive diseases require rapid integration of interdisciplinary data to be jointly analysed with epidemiological (including genomic and clinical) data. Current tools for the integration of multiple data sources are often limited to one data type or rely on proprietary data and software. To address this gap, we develop a scalable and open-access pipeline for the integration of multiple spatio-temporal datasets that requires only the declaration of the country and temporal range and resolution of the study. The tool is locally deployable and can easily be integrated into existing climate-disease-modelling applications. We demonstrate the utility of the tool for dengue modelling in Vietnam where epidemiological data are legally required to remain local. We include a pipeline for bias correction of climate data to enhance their quality for downstream modelling tasks. The Dengue Advanced Readiness Tools-Pipeline empowers users by simplifying complex download, correction, and aggregation steps, fostering data-driven discovery of relationships between infectious diseases and their drivers in space and time, and enhancing reproducibility in research. 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status","group":{"name":"current-referee-status","label":"Current Referee Status"}},{"value":"10.21956\/wellcomeopenres.27767.r139748, Oliver Brady, London School of Hygiene & Tropical Medicine, London, 25 Nov 2025, version 2, indexed","URL":"https:\/\/wellcomeopenresearch.org\/articles\/10-467\/v2#referee-response-139748","order":0,"name":"referee-response-139748","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"10.21956\/wellcomeopenres.27767.r139747, Kayode Oshinubi, Northern Arizona University, Flagstaff, Arizona, 22 Nov 2025, version 2, indexed","URL":"https:\/\/wellcomeopenresearch.org\/articles\/10-467\/v2#referee-response-139747","order":1,"name":"referee-response-139747","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"10.21956\/wellcomeopenres.27767.r140282, Benn Sartorius, The University of Queensland, Brisbane, 02 Jan 2026, version 2, indexed","URL":"https:\/\/wellcomeopenresearch.org\/articles\/10-467\/v2#referee-response-140282","order":2,"name":"referee-response-140282","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"<b>Abhishek Dasgupta<\/b>; \n<i>Posted: 08 Jul 2026<\/i>; Thank you for the positive review, apologies for the delayed response. We have updated the text, highlighting the applicability of the pipeline to heterogeneous data, both across data types and spatiotemporal resolutions, and bias-correction functionality which is essential for precipitation analysis.","URL":"https:\/\/wellcomeopenresearch.org\/articles\/10-467\/v3#referee-comment-6650","order":3,"name":"referee-comment-6650","label":"Referee Comment","group":{"name":"article-reports","label":"Article Reports"}},{"value":"This work was supported by Wellcome [303666; 226052; 228186 to M.U.G.K]; This tool was developed as part of the Global.health project (https:\/\/global.health\/). M.U.G.K. acknowledges funding from The Rockefeller Foundation [PC-2022-POP-005], Google.org, the Oxford Martin School Programmes in Pandemic Genomics & Digital Pandemic Preparedness, European Union's Horizon Europe programme projects MOOD [#874850] and E4Warning [#101086640], the United Kingdom Research and Innovation [#APP8583], the Medical Research Foundation [MRF-RG-ICCH-2022-100069], UK International Development [301542-403], the Bill & Melinda Gates Foundation [INV-063472] and Novo Nordisk Foundation [NNF24OC0094346]. T.H. is supported by the Nuffield Department of Medicine Tropical Network Fund. The contents of this publication are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission or the other funders. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","order":4,"name":"grant-information","label":"Grant Information"},{"value":"This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.","order":0,"name":"copyright-info","label":"Copyright"}]}}