Evidence map›Paper›PMID 33357052›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021

The use of molecular xenomonitoring for surveillance of mosquito-borne diseases.

Mary M Cameron, Anita Ramesh

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Meta-analysis of the prevalence ofFrontiers in cellular and infection microbiology · 2025
    Pooled it
  2. Pooled it
  3. Article
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  8. Molecular xenosurveillance ofMicrobiology spectrum · 2025
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  10. Vector control at a crossroad: Grappling with multiple challenges.The Indian journal of medical research · 2025
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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

2 authors at 1 institution in 1 country.

Mary M CameronDepartment of Disease Control, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Anita RameshDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scientific community recognizes that molecular xenomonitoring (MX) can allow infected mosquitoes to serve as a proxy for human infection in vector-borne disease surveillance, but developing reliable MX systems for programmatic use has been challenging. The primary aim of this article is to examine the available evidence to recommend how MX can best be used for various purposes. Although much of the literature published within the last 20 years focuses on using MX for lymphatic filariasis elimination, a growing body of evidence supports its use in early warning systems for emerging infectious diseases (EIDs). An MX system design must consider the goal and target (e.g. diseases targeted for elimination versus EIDs), mosquito and pathogen characteristics, and context (e.g. setting and health system). MX is currently used as a 'supplement' to human surveillance and will not be considered as a 'replacement' until the correlation between pathogen-infection rates in human and mosquito populations is better understood. Establishing such relationships may not be feasible in elimination scenarios, due to increasingly dwindling human infection prevalence after successful control, but may still be possible for EIDs and in integrated disease surveillance systems. This article is part of the theme issue 'Novel control strategies for mosquito-borne diseases'.

Indexed as

Communicable Diseases, EmergingCulicidaeEpidemiological MonitoringMosquito VectorsVector Borne DiseasesAnimalsHumansdisease eliminationemerging infectious diseaseslymphatic filariasismolecular xenomonitoringmosquitosurveillance

Identifiers

PMID33357052
PMCPMC7776931
OpenAlexW3115549656

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.