ArticleInfectious Disease Modelling2017
Estimating the size of
Article in Infectious Disease Modelling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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, 27 citations in OpenAlex.
- Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction.Scientific reports · 2025Article
- Effects of migration rates and vaccination on the spread of yellow fever in Latin American communities.Revista panamericana de salud publica = Pan American journal of public health · 2023Article
- Interactions between seasonal temperature variation and temporal synchrony drive increased arbovirus co-infection incidence.Royal Society open science · 2022Article
- Yellow fever in Asia-a risk analysis.Journal of travel medicine · 2021Article
- Risk of yellow fever virus transmission in the Asia-Pacific region.Nature communications · 2020Article
- Modeling and simulation of the spatial population dynamics of the Aedes aegypti mosquito with an insecticide application.Parasites & vectors · 2020Article
- The Mayaro virus and its potential epidemiological consequences in Colombia: an exploratory biomathematics analysis.Parasites & vectors · 2020Article
- Review
- Modelling an optimum vaccination strategy against ZIKA virus for outbreak use.Epidemiology and infection · 2019Article
- Is vaccinating monkeys against yellow fever the ultimate solution for the Brazilian recurrent epizootics?Epidemiology and infection · 2018Article
- The risk of urban yellow fever resurgence in Aedes-infested American cities.Epidemiology and infection · 2018Article
- A Note on the Risk of Infections Invading Unaffected Regions.Computational and mathematical methods in medicine · 2018Article
- The spread of infectious diseases in migration routes between caravans and resident communities: Modelling yellow fever in Central America.The journal of climate change and healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper we present a model to estimate the density of aedes mosquitoes in a community affected by dengue. The method consists in fitting a continuous function to the incidence of dengue infections, from which the density of infected mosquitoes is derived straightforwardly. Further derivations allow the calculation of the latent and susceptible mosquitoes' densities, the sum of the three equals the total mosquitoes' density. The method is illustrated with the case of the risk of urban yellow fever resurgence in dengue infested areas but the same procedures apply for other aedes-transmitted infections like Zika and chikungunya viruses.
Indexed as
Identifiers
What OpenQuestion holds
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.