Evidence map›Paper›PMID 18606008›Full record

ArticleInternational journal of health geographics2008

The geosimulation of West Nile virus propagation: a multi-agent and climate sensitive tool for risk management in public health.

Mondher Bouden, Bernard Moulin, Pierre Gosselin

Abstract read
In one paragraph

Article in International journal of health geographics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Frontiers in cellular and infection microbiology · 2019
    Review
  6. Article
  7. Article
  8. Review
  9. Climate, environmental and socio-economic change: weighing up the balance in vector-borne disease transmission.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
  10. Review
  11. Article
  12. Article
  13. An agent-based approach for modeling dynamics of contagious disease spread.International journal of health geographics · 2009
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mondher BoudenDepartment of Computer Sciences and Software Engineering, Laval University, Quebec, G1V 0A6, Canada. Mondher.Bouden@ift.ulaval.ca
Bernard Moulin
Pierre Gosselin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 1999, the expansion of the West Nile virus (WNV) epizooty has led public health authorities to build and operate surveillance systems in North America. These systems are very useful to collect data, but cannot be used to forecast the probable spread of the virus in coming years. Such forecasts, if proven reliable, would permit preventive measures to be put into place at the appropriate level of expected risk and at the appropriate time. It is within this context that the Multi-Agent GeoSimulation approach has been selected to develop a system that simulates the interactions of populations of mosquitoes and birds over space and time in relation to the spread and transmission of WNV. This simulation takes place in a virtual mapping environment representing a large administrative territory (e.g. province, state) and carried out under various climate scenarios in order to simulate the effects of vector control measures such as larviciding at scales of 1/20,000 or smaller.

resultsAfter setting some hypotheses, a conceptual model and system architecture were developed to describe the population dynamics and interactions of mosquitoes (genus Culex) and American crows, which were chosen as the main actors in the simulation. Based on a mathematical compartment model used to simulate the population dynamics, an operational prototype was developed for the Southern part of Quebec (Canada). The system allows users to modify the parameters of the model, to select various climate and larviciding scenarios, to visualize on a digital map the progression (on a weekly or daily basis) of the infection in and around the crows' roosts and to generate graphs showing the evolution of the populations. The basic units for visualisation are municipalities.

conclusionIn all likelihood this system might be used to support short term decision-making related to WNV vector control measures, including the use of larvicides, according to climatic scenarios. Once fully calibrated in several real-life contexts, this promising approach opens the door to the study and management of other zoonotic diseases such as Lyme disease.

Indexed as

Models, BiologicalAnimalsClimateComputer SimulationCrowsCulexDecision Making, Computer-AssistedDisease OutbreaksGeographic Information SystemsHumansInsect VectorsQuebecRisk ManagementWest Nile FeverWest Nile virus

Identifiers

PMID18606008
PMCPMC2492840

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.