Evidence map›Paper›PMID 26517499›Full record

ArticleMemorias do Instituto Oswaldo Cruz2015

Yellow fever impact on brown howler monkeys (Alouatta guariba clamitans) in Argentina: a metamodelling approach based on population viability analysis and epidemiological dynamics.

Eduardo S Moreno, Ilaria Agostini, Ingrid Holzmann, Mario S Di Bitetti, Luciana I Oklander, Martín M Kowalewski, Pablo M Beldomenico, Silvina Goenaga, Mariela Martínez, Eduardo Lestani and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 54 citations in OpenAlex.

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  12. Integrated approaches to howler monkey (Frontiers in veterinary science · 2022
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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

12 authors at 8 institutions in 6 countries.

Eduardo S MorenoUniversidade Federal do Oeste do Pará, Santarém, PA, Brasil.
Ilaria AgostiniInstituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú, Misiones, Argentina.
Ingrid HolzmannInstituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú, Misiones, Argentina.
Mario S Di BitettiInstituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú, Misiones, Argentina.
Luciana I OklanderInstituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú, Misiones, Argentina.
Martín M KowalewskiEstación Biológica de Corrientes, Consejo Nacional de Investigaciones Científicas y Técnicas, Museo Argentino de Ciencias Naturales Bernardino Rivadavia, San Cayetano, Corrientes, Argentina.
Pablo M BeldomenicoInstituto de Ciencias Veterinarias del Litoral, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional del Litoral, Esperanza, Santa Fe, Argentina.
Silvina GoenagaInstituto Nacional de Enfermedades Virales Humanas Dr Julio I Maiztegui, Buenos Aires, Argentina.
Mariela MartínezInstituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú, Misiones, Argentina.
Eduardo LestaniInstituto Nacional de Medicina Tropical, Puerto Iguazú, Misiones, Argentina.
Arnaud L J DesbiezRoyal Zoological Society of Scotland, Edinburgh, Scotland, UK.
Philip MillerInternational Union for Conservation of Nature, Apple Valley, MN, USA.
National University of Misiones · ARInstituto Nacional de Medicina Tropical · ARAdministración Nacional de Laboratorios e Institutos de Salud · ARBernardino Rivadavia Natural Sciences Museum · ARInternational Union for Conservation of Nature · GWNational University of the Littoral · ARRoyal Zoological Society of Scotland · GBUniversidade Federal do Oeste do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In South America, yellow fever (YF) is an established infectious disease that has been identified outside of its traditional endemic areas, affecting human and nonhuman primate (NHP) populations. In the epidemics that occurred in Argentina between 2007-2009, several outbreaks affecting humans and howler monkeys (Alouatta spp) were reported, highlighting the importance of this disease in the context of conservation medicine and public health policies. Considering the lack of information about YF dynamics in New World NHP, our main goal was to apply modelling tools to better understand YF transmission dynamics among endangered brown howler monkey (Alouatta guariba clamitans) populations in northeastern Argentina. Two complementary modelling tools were used to evaluate brown howler population dynamics in the presence of the disease: Vortex, a stochastic demographic simulation model, and Outbreak, a stochastic disease epidemiology simulation. The baseline model of YF disease epidemiology predicted a very high probability of population decline over the next 100 years. We believe the modelling approach discussed here is a reasonable description of the disease and its effects on the howler monkey population and can be useful to support evidence-based decision-making to guide actions at a regional level.

Indexed as

AlouattaAnimalsArgentinaDisease OutbreaksFemaleMaleMonkey DiseasesPopulation DynamicsYellow Fever

Identifiers

PMID26517499
PMCPMC4660615
OpenAlexW1828175302

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.