Evidence map›Paper›PMID 29774281›Full record

ReviewParasite epidemiology and control2017

Addressing knowledge gaps in molecular, sero-surveillance and monitoring approaches on Zika epidemics and other arbovirus co-infections: A structured review.

Ernest Tambo, Christopher Khayeka-Wandabwa, Oluwasogo A Olalubi, Ahmed A Adedeji, Jeanne Y Ngogang, Emad Im Khater

Abstract readReview
In one paragraph

Review in Parasite epidemiology and control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

6 authors.

Ernest TamboDepartment Biochemistry, Higher Institute of Health Sciences, Universite des Montagnes, Bangangté, Cameroon.
Christopher Khayeka-WandabwaAfrican Population and Health Research Center (APHRC), Nairobi, Kenya.
Oluwasogo A OlalubiDepartment of Public Health, Kwara State University (KWASU), Malete, Nigeria.
Ahmed A AdedejiDepartment of Pharmacology, Faculty of Health Sciences, Habib Medical School, Islamic University, Kibuuli, Kampala, Uganda.
Jeanne Y NgogangDepartment Biochemistry, Higher Institute of Health Sciences, Universite des Montagnes, Bangangté, Cameroon.
Emad Im KhaterMedical Entomology Department, Faculty of Science, Ain Shams University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globalization, with consequent increased travel and trade, rapid urbanization and growing weather variation events due to climate change has contributed to the recent unprecedented Zika virus (ZIKV) pandemic. This has emphasized the pressing need for local, national, regional and global community collaborative proactiveness, leadership and financial investment resilience in research and development. This paper addresses the potential knowledge gaps and impact of early detection and monitoring approaches on ZIKV epidemics and related arboviral infections steered towards effective prevention and smart response strategies. We advocate for the development and validation of robust field and point of care diagnostic tools that are more sensitive, specific and cost effective for use in ZIKV epidemics and routine pathophysiology surveillance and monitoring systems as an imperative avenue in understanding Zika-related and other arbovirus trends and apply genomic and proteomic characterisation approaches in guiding annotation efforts in order to design and implement public health burden mitigation and adaptation strategies.

Indexed as

ArbovirusDiagnosisEpidemicsMolecularPathogenesisSurveillanceZika virus

Identifiers

PMID29774281
PMCPMC5952677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.