SynthesisPLoS neglected tropical diseases2012
Surveillance of dengue fever virus: a review of epidemiological models and early warning systems.
Synthesis in PLoS neglected tropical diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
81 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Effects of high temperatures and heatwaves on dengue fever: a systematic review and meta-analysis.EBioMedicine · 2023Pooled it
- Epidemiological models for predicting Ross River virus in Australia: A systematic review.PLoS neglected tropical diseases · 2020Pooled it
- Approaches to refining estimates of global burden and economics of dengue.PLoS neglected tropical diseases · 2014Pooled it
- Dengue disease surveillance: an updated systematic literature review.Tropical medicine & international health : TM & IH · 2014Pooled it
- Rethinking Dengue Preparedness in the Era of Climate Change, Urbanisation, and Digital Health: A Structured Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Lagged and non-linear effects of Aedes surveillance indices on dengue incidence in Malaysia: evidence from sentinel-site data.Tropical medicine and health · 2026Article
- Bridging the Gaps in Dengue Control in Latin America: Multisectoral Strategies from an Expert Panel.Vaccines · 2026Review
- AI-based prediction of dengue incidence using climatic, environmental, and socio-demographic factors: an ensemble random forest approach with agile system development.BMC infectious diseases · 2026Article
- Time-series decomposition and modeling of dengue cases in Malaysia, 2022-2024: a nationwide observational study.Osong public health and research perspectives · 2026Article
- Innovative application of a traffic-prediction spatio-temporal graph convolutional network for dengue disease forecasting.Scientific reports · 2026Article
- Molecular xenosurveillance ofMicrobiology spectrum · 2025Article
- Comparative estimation of the spread of acute diarrhea and dengue in India using statistical mathematical and deep learning models.Scientific reports · 2025Article
- Evidence map of strategies for preventing and controllingRevista panamericana de salud publica = Pan American journal of public health · 2025Review
- Development of an Integrated Surveillance System to Improve Preparedness for Arbovirus Outbreaks in a Dengue Endemic Setting: Descriptive Study.JMIR public health and surveillance · 2024Article
- The fuzzy system ensembles entomological, epidemiological, demographic and environmental data to unravel the dengue transmission risk in an endemic city.BMC public health · 2024Article
- Control strategies for emerging infectious diseases: Crimean-Congo hemorrhagic fever management.Health science reports · 2024Article
- Modeling the Role of Weather and Pilgrimage Variables on Dengue Fever Incidence in Saudi Arabia.Pathogens (Basel, Switzerland) · 2024Article
- Spatial model of Dengue Hemorrhagic Fever (DHF) risk: scoping review.BMC public health · 2023Article
- Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data.Scientific reports · 2023Article
- Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019.Tropical medicine and health · 2023Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dengue fever affects over a 100 million people annually hence is one of the world's most important vector-borne diseases. The transmission area of this disease continues to expand due to many direct and indirect factors linked to urban sprawl, increased travel and global warming. Current preventative measures include mosquito control programs, yet due to the complex nature of the disease and the increased importation risk along with the lack of efficient prophylactic measures, successful disease control and elimination is not realistic in the foreseeable future. Epidemiological models attempt to predict future outbreaks using information on the risk factors of the disease. Through a systematic literature review, this paper aims at analyzing the different modeling methods and their outputs in terms of acting as an early warning system. We found that many previous studies have not sufficiently accounted for the spatio-temporal features of the disease in the modeling process. Yet with advances in technology, the ability to incorporate such information as well as the socio-environmental aspect allowed for its use as an early warning system, albeit limited geographically to a local scale.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.