The combined influence of long-term climate, short-term
Research gap analysis derived from 4 earth_science papers in our local library.
The gap
The combined influence of long-term climate, short-term weather variation, local built environments, and land-use gradients on dengue dynamics in rural settings remains poorly understood, limiting our ability to predict shifting risk under
Evidence profile
Sourced from the stated research gap and stated challenges and future-work section and abstract of the source papers, classified as general, spanning 4 journals. Those papers have been cited 1 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 6 representative gaps
- Dengue-Associated Mortality, Climate Anomalies, and Geographic Emergence in Peru, 2017–2024: A Spatiotemporal Study Triangulating Death Records and Epidemiological Surveillance (2026) · Viruses · doi
The spatiotemporal distribution of dengue-associated mortality is not well characterized. The ecological relationship between dengue mortality and climate anomalies is not fully understood. There is a need for studies that combine death certificates, epidemiological surveillance, and climate data to better understand dengue transmission.
generalstated research gapKeywords: spatiotemporal distribution dengue-associated mortality well characterized ecological relationship - Dengue-Associated Mortality, Climate Anomalies, and Geographic Emergence in Peru, 2017–2024: A Spatiotemporal Study Triangulating Death Records and Epidemiological Surveillance (2026) · Viruses · doi
The study faces challenges in terms of data quality and availability, particularly with regards to death certificates and climate data. The analysis is limited by the lack of individual-level data and the use of aggregated data. The study must also account for the complex interplay of factors influencing dengue transmission, including climate, vector ecology, and human behavior.
generalstated challengesKeywords: study faces challenges terms data quality availability particularly - SENTINEL-Dengue ASEAN-11: An AI-Powered Climate–Geospatial Intelligence System for Dengue Early Warning and Surveillance Prioritization Across Southeast Asia (2026) · International Journal of Geoinformatics · doi
Conventional dengue surveillance is often reactive and administratively aggregated, limiting its usefulness for early warning. There is a need for a framework that integrates various data sources and uses machine learning models to estimate dengue alert probability.
generalstated research gapevidence 5/5Keywords: conventional dengue surveillance often reactive administratively aggregated limiting - SENTINEL-Dengue ASEAN-11: An AI-Powered Climate–Geospatial Intelligence System for Dengue Early Warning and Surveillance Prioritization Across Southeast Asia (2026) · International Journal of Geoinformatics · doi
To evaluate the effectiveness of the framework in real-world settings. To adapt the framework for use in other regions and for other climate-sensitive diseases. To explore the use of other machine learning models and techniques to improve the accuracy of dengue alert probability estimates.
generalfuture-work sectionevidence 5/5Keywords: evaluate effectiveness framework real-world settings adapt use other - Seasonal Dynamics and Structural Changes in Dengue Transmission in Eastern Northeast of Brazil: A Time-Series Decomposition Using SSA and Pre- vs Post-COVID Comparative Analysis (2026) · Epidemiology and Infection · doi
Traditional parametric approaches are limited by the nonlinearity and non-stationarity of dengue time series. There is a need for advanced time-series decomposition techniques to investigate dengue transmission. The study aims to fill this gap by applying SSA to investigate monthly dengue incidence in Maceió, Eastern Northeast of Brazil.
generalstated research gapevidence 5/5Keywords: traditional parametric approaches limited nonlinearity non-stationarity dengue time - Rural dengue dynamics: the interplay of climate, built environment, and agriculture in Costa Rica (2026) · medRxiv · cited 1× · doi
The combined influence of long-term climate, short-term weather variation, local built environments, and land-use gradients on dengue dynamics in rural settings remains poorly understood, limiting our ability to predict shifting risk under global change.
generalabstractevidence 2/5Keywords: term combined influence long climate short weather variation local built environments land gradients dengue dynamics
Questions about this gap
Explore this gap further
Run this gap as a query across open scholarly engines for the latest related literature.
Working on this gap? Review it with us.
Science AI Journal reviews manuscripts in one pass with 8 specialised AI agents calibrated on 69,000+ real peer reviews.
Tools for your next paper
Related gaps in Earth Science
- Existing regional hazard assessment tools typically modelExisting regional hazard assessment tools typically model seismic- and rainfall-triggered landslides separately. There is a need for a rapid…
- Empirical in-situ measurements of ecosystem carbonEmpirical in-situ measurements of ecosystem carbon dioxide respiration in high-latitude ecosystems are limited. There is a need for a compre…
- The lack of consideration of atmospheric feedback in landThe lack of consideration of atmospheric feedback in land surface models leads to overestimation of evapotranspiration. The current land sur…
- The study identifies a gap in the representationThe study identifies a gap in the representation of complex patterns of heterogeneity associated with hydraulic property of a volcanic multi…