Evidence map›Paper›PMID 42533189›Full record

ReviewEcoHealth2026

Chagasian Shortfall: A New Concept for Zoonoses Epidemiological Cycles.

Roberto Leonan M Novaes, Natasha A Bertocchi, Gabriel Cupolillo, Carlos Eduardo V Grelle, Ricardo Moratelli

Abstract readReview
PubMed Publisher
In one paragraph

Review in EcoHealth, 2026. 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

5 authors.

Roberto Leonan M NovaesLaboratório de Biologia Computacional e Sistemas, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040360, Brazil. roberto.novaes@fiocruz.br.ORCID http://orcid.org/0000-0003-1657-2807
Natasha A BertocchiFiocruz Mata Atlântica, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 22713-560, Brazil.ORCID https://orcid.org/0000-0002-8880-5967
Gabriel CupolilloFiocruz Mata Atlântica, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 22713-560, Brazil.ORCID https://orcid.org/0000-0003-0243-4665
Carlos Eduardo V GrelleDepartamento de Ecologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-599, Brazil.ORCID https://orcid.org/0000-0002-8586-8655
Ricardo MoratelliFiocruz Mata Atlântica, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 22713-560, Brazil.ORCID https://orcid.org/0000-0003-0942-6633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge gaps in fundamental aspects of biodiversity are referred to as shortfalls, which have profound implications for scientific research, resource management, species conservation, and zoonotic disease surveillance. Seven main proposed shortfalls pinpoint knowledge gaps for taxonomic diversity, geographic distribution, population dynamics, evolutionary relationships, abiotic tolerances, biotic interactions, and biological traits of species. However, there is a knowledge gap that has not yet been addressed by these shortfalls, representing one of the most important components of biodiversity with implications for human well-being and species conservation: the zoonoses. Here, we introduce the concept of the Chagasian shortfall, which refers to our insufficient knowledge of pathogens, reservoirs and/or hosts, vectors, and, most importantly, epidemiological cycles, making it difficult to understand how zoonotic diseases spread across different dimensions. This shortfall represents a new perspective and the first step toward exploring the limits of biodiversity knowledge directly related to the One Health approach.

Indexed as

disease ecologyone healthpathogen–host associationzoonotic diseases

Identifiers

What OpenQuestion holds

Textmetadata
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.