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Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning
Research article (Research Society and Development, 2021) · cited 11× · AI/ML
Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning
Summary
Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning is a scholarly article[1].
Key Facts
Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-dengue-chikungunya-and-zika-cases-in-recife-brazil-a-spatio-temporal-approach-based-on-climate-conditions-he
MLA“Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-dengue-chikungunya-and-zika-cases-in-recife-brazil-a-spatio-temporal-approach-based-on-climate-conditions-he.
BibTeX@misc{4ortxyz_forecasting-dengue-chikungunya-and-zika-cases-in-recife-brazil-a-spatio-temporal-approach-based-on-climate-conditions-he_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-dengue-chikungunya-and-zika-cases-in-recife-brazil-a-spatio-temporal-approach-based-on-climate-conditions-he}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning — https://4ort.xyz/entity/forecasting-dengue-chikungunya-and-zika-cases-in-recife-brazil-a-spatio-temporal-approach-based-on-climate-conditions-he (retrieved 2026-05-24)
