ReviewEvolutionary applications2018
Challenges in dengue research: A computational perspective.
Review in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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Who cites it
15 citing papers in PubMed.
- Whole-genome characterization of prevalent dengue virus serotype-1 in 2023 dengue outbreak of Xishuangbanna, a border area of Laos, Myanmar, and China.IJID regions · 2025Article
- Unravelling dengue serotype 3 transmission in Brazil: evidence for multiple introductions of the 3III_B.3.2 lineage.Virus evolution · 2025Article
- EpiFusion: Joint inference of the effective reproduction number by integrating phylodynamic and epidemiological modelling with particle filtering.PLoS computational biology · 2024Article
- Article
- A unified global genotyping framework of dengue virus serotype-1 for a stratified coordinated surveillance strategy of dengue epidemics.Infectious diseases of poverty · 2022Article
- Global Evolutionary History and Dynamics of Dengue Viruses Inferred from Whole Genome Sequences.Viruses · 2022Article
- Dengue and Zika virus infections in children elicit cross-reactive protective and enhancing antibodies that persist long term.Science translational medicine · 2021Article
- Field and classroom initiatives for portable sequence-based monitoring of dengue virus in Brazil.Nature communications · 2021Article
- DEN-IM: dengue virus genotyping from amplicon and shotgun metagenomic sequencing.Microbial genomics · 2020Article
- Article
- MVSE: An R-package that estimates a climate-driven mosquito-borne viral suitability index.Methods in ecology and evolution · 2019Article
- Spatio-temporal dynamics of dengue in Brazil: Seasonal travelling waves and determinants of regional synchrony.PLoS neglected tropical diseases · 2019Article
- A multi-country study of the economic burden of dengue fever based on patient-specific field surveys in Burkina Faso, Kenya, and Cambodia.PLoS neglected tropical diseases · 2019Article
- Challenges in dengue research: A computational perspective.Evolutionary applications · 2018Review
- Evolutionary perspectives on human infectious diseases: Challenges, advances, and promises.Evolutionary applications · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The dengue virus is now the most widespread arbovirus affecting human populations, causing significant economic and social impact in South America and South-East Asia. Increasing urbanization and globalization, coupled with insufficient resources for control, misguided policies or lack of political will, and expansion of its mosquito vectors are some of the reasons why interventions have so far failed to curb this major public health problem. Computational approaches have elucidated on dengue's population dynamics with the aim to provide not only a better understanding of the evolution and epidemiology of the virus but also robust intervention strategies. It is clear, however, that these have been insufficient to address key aspects of dengue's biology, many of which will play a crucial role for the success of future control programmes, including vaccination. Within a multiscale perspective on this biological system, with the aim of linking evolutionary, ecological and epidemiological thinking, as well as to expand on classic modelling assumptions, we here propose, discuss and exemplify a few major computational avenues-real-time computational analysis of genetic data, phylodynamic modelling frameworks, within-host model frameworks and GPU-accelerated computing. We argue that these emerging approaches should offer valuable research opportunities over the coming years, as previously applied and demonstrated in the context of other pathogens.
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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.