Evidence map›Paper›PMID 28923063›Full record

ArticleMalaria journal2017

A stochastic model for the probability of malaria extinction by mass drug administration.

Peter Pemberton-Ross, Nakul Chitnis, Emilie Pothin, Thomas A Smith

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Mass Drug Administration: Contextual Factor Considerations.The American journal of tropical medicine and hygiene · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. 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

4 authors at 1 institution in 1 country.

Peter Pemberton-RossDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland.
Nakul ChitnisDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland.
Emilie PothinDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland.
Thomas A SmithDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051, Basel, Switzerland. thomas-a.smith@unibas.ch.ORCID 0000-0002-3650-9381
Swiss Tropical and Public Health Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMass drug administration (MDA) has been proposed as an intervention to achieve local extinction of malaria. Although its effect on the reproduction number is short lived, extinction may subsequently occur in a small population due to stochastic fluctuations. This paper examines how the probability of stochastic extinction depends on population size, MDA coverage and the reproduction number under control, R

resultsThe results indicate that mass drug administration (Firstly, R

conclusionsThere are very limited circumstances in which MDA will lead to local malaria elimination with a substantial probability.

Indexed as

AntimalarialsDisease EradicationHumansMalariaMass Drug AdministrationModels, BiologicalPopulation DensityProbabilityStochastic ProcessesAntimalarialsEliminationMalariaMathematical modelStochastic extinction

Identifiers

PMID28923063
PMCPMC5604301
OpenAlexW2756320027

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.