Evidence map›Paper›PMID 36399500›Full record

SynthesisPLoS neglected tropical diseases2022

Mechanistic models of Rift Valley fever virus transmission: A systematic review.

Hélène Cecilia, Alex Drouin, Raphaëlle Métras, Thomas Balenghien, Benoit Durand, Véronique Chevalier, Pauline Ezanno

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. iScience · 2024
    Article
  9. Review
  10. bioRxiv : the preprint server for biology · 2024
    Article
  11. Article
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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

7 authors at 4 institutions in 4 countries.

Hélène CeciliaOniris, INRAE, BIOEPAR, Nantes, France.ORCID 0000-0001-5687-3570
Alex DrouinASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.ORCID 0000-0003-1101-7433
Raphaëlle MétrasSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP, UMRS 1136), Paris, France.
Thomas BalenghienASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.
Benoit DurandUniversité Paris-Est, Anses, Laboratory for Animal Health, Epidemiology Unit, Maisons-Alfort, France.ORCID 0000-0003-0669-1394
Véronique ChevalierASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.
Pauline EzannoOniris, INRAE, BIOEPAR, Nantes, France.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRÉcole Nationale Vétérinaire d'Alfort · FRUniversity of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rift Valley fever (RVF) is a zoonotic arbovirosis which has been reported across Africa including the northernmost edge, South West Indian Ocean islands, and the Arabian Peninsula. The virus is responsible for high abortion rates and mortality in young ruminants, with economic impacts in affected countries. To date, RVF epidemiological mechanisms are not fully understood, due to the multiplicity of implicated vertebrate hosts, vectors, and ecosystems. In this context, mathematical models are useful tools to develop our understanding of complex systems, and mechanistic models are particularly suited to data-scarce settings. Here, we performed a systematic review of mechanistic models studying RVF, to explore their diversity and their contribution to the understanding of this disease epidemiology. Researching Pubmed and Scopus databases (October 2021), we eventually selected 48 papers, presenting overall 49 different models with numerical application to RVF. We categorized models as theoretical, applied, or grey, depending on whether they represented a specific geographical context or not, and whether they relied on an extensive use of data. We discussed their contributions to the understanding of RVF epidemiology, and highlighted that theoretical and applied models are used differently yet meet common objectives. Through the examination of model features, we identified research questions left unexplored across scales, such as the role of animal mobility, as well as the relative contributions of host and vector species to transmission. Importantly, we noted a substantial lack of justification when choosing a functional form for the force of infection. Overall, we showed a great diversity in RVF models, leading to important progress in our comprehension of epidemiological mechanisms. To go further, data gaps must be filled, and modelers need to improve their code accessibility.

Indexed as

Rift Valley FeverRift Valley fever virusAfricaAnimalsArabiaEcosystemFemalePregnancy

Identifiers

PMID36399500
PMCPMC9718419
OpenAlexW4309306269

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.