Evidence map›Paper›PMID 28399263›Full record

ArticleJournal of medical entomology2017

Ecological Niche Model for Predicting Distribution of Disease-Vector Mosquitoes in Yucatán State, México.

Carlos M Baak-Baak, David A Moo-Llanes, Nohemi Cigarroa-Toledo, Fernando I Puerto, Carlos Machain-Williams, Guadalupe Reyes-Solis, Yoshinori J Nakazawa, Armando Ulloa-Garcia, Julian E Garcia-Rejon

Abstract read
In one paragraph

Article in Journal of medical entomology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Increased AdultInsects · 2018
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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

9 authors.

Carlos M Baak-BaakCentro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán Laboratorio de Arbovirología, Calle 43 No. 613 x Calle 90 Colonia Inalámbrica, Mérida, Yucatán, México CP 97069.
David A Moo-LlanesCentro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Pública. Calle 19 Poniente esquina 4ta Norte, Tapachula, Chiapas, México, CP 30700.
Nohemi Cigarroa-ToledoCentro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán Laboratorio de Arbovirología, Calle 43 No. 613 x Calle 90 Colonia Inalámbrica, Mérida, Yucatán, México CP 97069.
Fernando I PuertoCentro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán Laboratorio de Arbovirología, Calle 43 No. 613 x Calle 90 Colonia Inalámbrica, Mérida, Yucatán, México CP 97069.
Carlos Machain-WilliamsCentro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán Laboratorio de Arbovirología, Calle 43 No. 613 x Calle 90 Colonia Inalámbrica, Mérida, Yucatán, México CP 97069.
Guadalupe Reyes-SolisCentro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán Laboratorio de Arbovirología, Calle 43 No. 613 x Calle 90 Colonia Inalámbrica, Mérida, Yucatán, México CP 97069.
Yoshinori J NakazawaCenters for Disease Control and Prevention, 1600 Clifton Rd., NE Mailstop G-06, Atlanta, GA 30333.
Armando Ulloa-GarciaCentro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Pública. Calle 19 Poniente esquina 4ta Norte, Tapachula, Chiapas, México, CP 30700.
Julian E Garcia-RejonCentro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán Laboratorio de Arbovirología, Calle 43 No. 613 x Calle 90 Colonia Inalámbrica, Mérida, Yucatán, México CP 97069.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The majority of the Yucatán State, México, presents subtropical climate that is suitable for many species of mosquitoes that are known to be vectors of diseases, including those from the genera Aedes and Culex. The objective of this study is to identify the geographic distribution of five species from these two genera and estimate the human population at risk of coming in contact with them. We compiled distributional data for Aedes aegypti (L.), Aedes (Howardina) cozumelensis (Diaz Najera), Culex coronator Dyar and Knab, Culex quinquefasciatus Say, and Culex thriambus Dyar from several entomological studies in Yucatán between March 2010 and September 2014. Based on these data, we constructed ecological niche models to predict the spatial distribution of each species using the MaxEnt algorithm. Our models identified areas with suitable environments for Ae. aegypti in most of Yucatán. A similar percentage of urban (97.1%) and rural (96.5%) populations were contained in areas of highest suitability for Ae. aegypti, and no spatial pattern was found (Moran's I = 0.33, P = 0.38); however, we found an association of abundance of immature forms of this species with annual mean temperature (r = 0.19, P ≤ 0.001) and annual precipitation (r = 0.21, P ≤ 0.001). Aedes cozumelensis is also distributed in most areas of the Yucatán State; Cx. quinquefasciatus, Cx. coronator, and Cx. thriambus are restricted to the northwest. The information generated in this study can inform decision-making to address control measures in priority areas with presence of these vectors.

Indexed as

Animal DistributionAedesAnimalsCulexGeographic Information SystemsLarvaMexicoModels, BiologicalMosquito VectorsAedes aegyptiecological niche modelspatial distributionYucatán State

Identifiers

PMID28399263
PMCPMC6503852

What OpenQuestion holds

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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.