Evidence map›Paper›PMID 29444766›Full record

ArticleJMIR public health and surveillance2018

Know Your Epidemic, Strengthen Your Response: Developing a New HIV Surveillance Architecture to Guide HIV Resource Allocation and Target Decisions.

Brian Rice, Travis Sanchez, Stefan Baral, Paul Mee, Keith Sabin, Jesus M Garcia-Calleja, James Hargreaves

Abstract readEditorial
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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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

7 authors.

Brian RiceDepartment of Social and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0002-5416-8058
Travis SanchezDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID http://orcid.org/0000-0003-1133-4762
Stefan BaralCenter for Public Health and Human Rights, Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.ORCID http://orcid.org/0000-0002-5482-2419
Paul MeeDepartment of Social and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0003-0912-0984
Keith SabinStrategic Information and Evaluation, Joint United Nations Programme on HIV/AIDS, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-2290-8621
Jesus M Garcia-CallejaHIV/AIDS Department, World Health Organization, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-9218-6898
James HargreavesDepartment of Social and Environmental Health Research, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0002-3509-3572

Funding

World Health Organization 001
6 · The paper itself

Abstract

To guide HIV prevention and treatment activities up to 2020, we need to generate and make better use of high quality HIV surveillance data. To highlight our surveillance needs, a special collection of papers in JMIR Public Health and Surveillance has been released under the title "Improving Global and National Responses to the HIV Epidemic Through High Quality HIV Surveillance Data." We provide a summary of these papers and highlight methods for developing a new HIV surveillance architecture.

Indexed as

dataHIVkey populationsmonitoringpreventionsurveillancesystemstestingtreatment

Identifiers

PMID29444766
PMCPMC5830609

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.