Evidence map›Paper›PMID 32391139›Full record

ArticleMethods in ecology and evolution2019

MVSE: An R-package that estimates a climate-driven mosquito-borne viral suitability index.

Uri Obolski, Pablo N Perez, Christian J Villabona-Arenas, Julien Thézé, Nuno R Faria, José Lourenço

Abstract read
In one paragraph

Article in Methods in ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

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  7. The Links Between Dengue Virus, Climate and Climate Change.Current topics in microbiology and immunology · 2026
    Review
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  14. The 2023 Latin America report of theLancet regional health. Americas · 2024
    Review
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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

6 authors.

Uri ObolskiSchool of Public Health Tel Aviv University Tel Aviv Israel.
Pablo N PerezDepartment of Infectious Disease Epidemiology Imperial College London London UK.
Christian J Villabona-ArenasCentre for Mathematical Modelling of Infectious Diseases Department of Infectious Disease Epidemiology Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine London UK.
Julien ThézéDepartment of Zoology University of Oxford Oxford UK.
Nuno R FariaDepartment of Zoology University of Oxford Oxford UK.
José LourençoDepartment of Zoology University of Oxford Oxford UK.ORCID https://orcid.org/0000-0002-9318-2581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses, such as dengue, Zika, yellow fever and chikungunya, depend on mosquitoes for transmission. Their epidemics typically present periodic patterns, linked to the underlying mosquito population dynamics, which are known to be driven by natural climate fluctuations. Understanding how climate dictates the timing and potential of viral transmission is essential for preparedness of public health systems and design of control strategies. While various alternative approaches have been proposed to estimate local transmission potential of such viruses, few open-source, ready to use and freely available software tools exist.We developed the

Indexed as

community ecological modellingcommunity ecologydisease ecological modellingdisease ecologymicrobial ecologymosquito-borne Viral Suitability Estimatormosquitoesviruses

Identifiers

PMID32391139
PMCPMC7202302

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.