Evidence map›Paper›PMID 33244290›Full record

ArticleBiodiversity data journal2020

Analysis of Chagas disease vectors occurrence data: the Argentinean triatomine species database.

Soledad Ceccarelli, Agustín Balsalobre, Maria Eugenia Cano, Delmi Canale, Patricia Lobbia, Raúl Stariolo, Jorge Eduardo Rabinovich, Gerardo Anibal Marti

Abstract read
In one paragraph

Article in Biodiversity data journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. New technologies for identification and surveillance of Chagas disease vectors.Revista da Sociedade Brasileira de Medicina Tropical · 2026
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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

8 authors.

Soledad CeccarelliCentro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP), La Plata, Argentina Centro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP) La Plata Argentina.ORCID https://orcid.org/0000-0002-9790-0157
Agustín BalsalobreCentro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP), La Plata, Argentina Centro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP) La Plata Argentina.
Maria Eugenia CanoCentro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP), La Plata, Argentina Centro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP) La Plata Argentina.
Delmi CanaleCentro de Referencia de Vectores (CeReVe), Coordinación Nacional de Vectores, Ministerio de Salud de la Nación, Santa Maria de Punilla, Argentina Centro de Referencia de Vectores (CeReVe), Coordinación Nacional de Vectores, Ministerio de Salud de la Nación Santa Maria de Punilla Argentina.
Patricia LobbiaCentro de Referencia de Vectores (CeReVe), Coordinación Nacional de Vectores, Ministerio de Salud de la Nación, Santa Maria de Punilla, Argentina Centro de Referencia de Vectores (CeReVe), Coordinación Nacional de Vectores, Ministerio de Salud de la Nación Santa Maria de Punilla Argentina.
Raúl StarioloCentro de Referencia de Vectores (CeReVe), Coordinación Nacional de Vectores, Ministerio de Salud de la Nación, Santa Maria de Punilla, Argentina Centro de Referencia de Vectores (CeReVe), Coordinación Nacional de Vectores, Ministerio de Salud de la Nación Santa Maria de Punilla Argentina.
Jorge Eduardo RabinovichCentro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP), La Plata, Argentina Centro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP) La Plata Argentina.ORCID https://orcid.org/0000-0002-3792-742X
Gerardo Anibal MartiCentro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP), La Plata, Argentina Centro de Estudios Parasitológicos y de Vectores (CEPAVE CONICET-CCT La Plata-UNLP) La Plata Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChagas disease is a neglected tropical disease and NEW INFORMATION: This is the first database of the 17 triatomine species present in Argentina (15917 records), with a critical analysis of the temporal, spatial and ecological characteristics of 9788 records. The information spans the last 100 years (1918-2019) and it was mostly obtained from the DataTri database and from the Argentinean Vector Reference Center. As 70% of the occurrences corresponded to the last 20 years, the information was split into two broad periods (pre-2000 and post-2000). Occurrence data for most species show distribution range contractions, which, from the pre-2000 to post-2000 period, became restricted mainly to the dry and humid Chaco ecoregions. Concurrently, the highest species richness foci occurred within those ecoregions. The species

Indexed as

Chagasdatabasegeographic distributionshabitatspecies richnesstemporal informationTriatominae

Identifiers

PMID33244290
PMCPMC7679344

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.