Evidence map›Paper›PMID 33452445›Full record

ArticleCommunications biology2021

High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance.

Lilha M B Santos, Mathijs Mutsaers, Gabriela A Garcia, Mariana R David, Márcio G Pavan, Martha T Petersen, Jessica Corrêa-Antônio, Dinair Couto-Lima, Louis Maes, Floyd Dowell and 3 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Horizons of the Future: Preparedness and Response.Current topics in microbiology and immunology · 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

13 authors at 5 institutions in 4 countries.

Lilha M B SantosLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.
Mathijs MutsaersLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.ORCID 0000-0002-7633-6438
Gabriela A GarciaLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.
Mariana R DavidLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.
Márcio G PavanLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.ORCID 0000-0002-5699-242X
Martha T PetersenLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.
Jessica Corrêa-AntônioLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.
Dinair Couto-LimaLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil.
Louis MaesLaboratory for Microbiology, Parasitology and Hygiene (LMPH), University of Antwerp, 2000, Antwerp, Belgium.ORCID 0000-0002-2324-9509
Floyd DowellUSDA-ARS, Center for Grain and Animal Health Research, Manhattan, KS, 66502, USA.
Anton LordThe School of Public Health, The University of Queensland, Herston, QLD, 4006, Australia.
Maggy Sikulu-LordThe School of Public Health, The University of Queensland, Herston, QLD, 4006, Australia.ORCID 0000-0002-9346-2970
Rafael Maciel-de-FreitasLaboratório de Transmissores de Hematozoários, IOC, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, 21040-360, Brazil. freitas@ioc.fiocruz.br.ORCID 0000-0002-2198-6492
Fundação Oswaldo Cruz · BRThe University of Queensland · AUUniversidade Federal do Rio de Janeiro · BRUniversity of Antwerp · BECenter for Grain and Animal Health Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deployment of Wolbachia to mitigate dengue (DENV), Zika (ZIKV) and chikungunya (CHIKV) transmission is ongoing in 12 countries. One way to assess the efficacy of Wolbachia releases is to determine invasion rates within the wild population of Aedes aegypti following their release. Herein we evaluated the accuracy, sensitivity and specificity of the Near Infrared Spectroscopy (NIRS) in estimating the time post death, ZIKV-, CHIKV-, and Wolbachia-infection in trapped dead female Ae. aegypti mosquitoes over a period of 7 days. Regardless of the infection type, time post-death of mosquitoes was accurately predicted into four categories (fresh, 1 day old, 2-4 days old and 5-7 days old). Overall accuracies of 93.2, 97 and 90.3% were observed when NIRS was used to detect ZIKV, CHIKV and Wolbachia in dead Ae. aegypti female mosquitoes indicating NIRS could be potentially applied as a rapid and cost-effective arbovirus surveillance tool. However, field data is required to demonstrate the full capacity of NIRS for detecting these infections under field conditions.

Indexed as

AedesAnimalsBacterial InfectionsChikungunya FeverFemaleHigh-Throughput Screening AssaysSpectroscopy, Near-InfraredTime FactorsWolbachiaZika Virus Infection

Identifiers

PMID33452445
PMCPMC7810739
OpenAlexW3119127964

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.