Evidence map›Paper›PMID 35841485›Full record

ArticleEcoHealth2022

Zoonotic Disease Risk and Life-History Traits: Are Reservoirs Fast Life Species?

Candelaria Estavillo, Federico Weyland, Lorena Herrera

Abstract read
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In one paragraph

Article in EcoHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Candelaria EstavilloGrupo de Estudio de Agroecosistemas y Paisajes Rurales, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, CONICET, EEI INTA Balcarce, Ruta 226 Km 73.5, Balcarce, Prov. de Buenos Aires, Argentina. cande.estavillo@gmail.com.ORCID 0000-0001-8966-5006
Federico WeylandGrupo de Estudio de Agroecosistemas y Paisajes Rurales, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, CONICET, EEI INTA Balcarce, Ruta 226 Km 73.5, Balcarce, Prov. de Buenos Aires, Argentina.
Lorena HerreraGrupo de Estudio de Agroecosistemas y Paisajes Rurales, Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, CONICET, EEI INTA Balcarce, Ruta 226 Km 73.5, Balcarce, Prov. de Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between humans, wildlife and disease transmission can be complex and context-dependent, and disease dynamics may be determined by idiosyncratic species. Therefore, an outstanding question is how general is the finding that species with faster life histories are more probable hosts of zoonoses. Ecological knowledge on species, jointly with public health data, can provide relevant information on species that should be targeted for epidemiological surveillance or management. We investigated whether mammal species traits can be good indicators of zoonotic reservoir status in an intensified agricultural region of Argentina. We find support for a relationship between reservoir status and the pace of life syndrome, confirming that fast life histories can be a factor of zoonotic risk. Nonetheless, we observed that for certain zoonosis, reservoirs may display a slow pace of life, suggesting that idiosyncratic interactions can occur. We conclude that applying knowledge from the life history-disease relationship can contribute significantly to disease risk assessment. Such an approach may be especially valuable in the current context of environmental change and agricultural intensification.

Indexed as

MammalsZoonosesAgricultureAnimalsAnimals, WildDisease ReservoirsHumansPublic HealthAgricultural intensificationFunctional traitsHost statusHuman healthMammalsSlow-fast continuum

Identifiers

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Registered trials

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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.