SynthesisJournal of the Royal Society, Interface2021
Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.
Synthesis in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk.BMC infectious diseases · 2023Pooled it
- A Systematic Review on Modeling Methods and Influential Factors for Mapping Dengue-Related Risk in Urban Settings.International journal of environmental research and public health · 2022Pooled it
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Influence of spatial connectivity on the spread of Mpox in Maï-Ndombe province, Democratic Republic of the Congo, 2025.International journal of health geographics · 2026Article
- The overlapping global distribution of dengue, chikungunya, Zika and yellow fever.Nature communications · 2025Article
- Catching a wave: On the suitability of traveling-wave solutions in epidemiological modeling.Theoretical population biology · 2025Article
- Exploring Dengue Dynamics: A Multi-Scale Analysis of Spatio-Temporal Trends in Ibagué, Colombia.Viruses · 2024Article
- Modeling the Regional Distribution of International Travelers in Spain to Estimate Imported Cases of Dengue and Malaria: Statistical Inference and Validation Study.JMIR public health and surveillance · 2024Article
- Implementing landscape genetics in molecular epidemiology to determine drivers of vector-borne disease: A malaria case study.Molecular ecology · 2023Article
- Host movement, transmission hot spots, and vector-borne disease dynamics on spatial networks.Infectious Disease Modelling · 2022Article
- A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping.Journal of the Royal Society, Interface · 2022Article
- Spatio-temporal dynamics of dengue-related deaths and associated factors.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022Article
- The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil.PLoS neglected tropical diseases · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatial connectivity plays an important role in mosquito-borne disease transmission. Connectivity can arise for many reasons, including shared environments, vector ecology and human movement. This systematic review synthesizes the spatial methods used to model mosquito-borne diseases, their spatial connectivity assumptions and the data used to inform spatial model components. We identified 248 papers eligible for inclusion. Most used statistical models (84.2%), although mechanistic are increasingly used. We identified 17 spatial models which used one of four methods (spatial covariates, local regression, random effects/fields and movement matrices). Over 80% of studies assumed that connectivity was distance-based despite this approach ignoring distant connections and potentially oversimplifying the process of transmission. Studies were more likely to assume connectivity was driven by human movement if the disease was transmitted by an
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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 Socratic graph.