Evidence map›Paper›PMID 29635471›Full record

ArticleInternational health2018

Impact of mass drug administration campaigns depends on interaction with seasonal human movement.

Jaline Gerardin, Amelia Bertozzi-Villa, Philip A Eckhoff, Edward A Wenger

Open access · hybridAbstract read
In one paragraph

Article in International health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Mass Drug Administration: Contextual Factor Considerations.The American journal of tropical medicine and hygiene · 2024
    Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. 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.

Jaline GerardinInstitute for Disease Modeling, Bellevue, WA, USA.
Amelia Bertozzi-VillaInstitute for Disease Modeling, Bellevue, WA, USA.
Philip A EckhoffInstitute for Disease Modeling, Bellevue, WA, USA.
Edward A WengerInstitute for Disease Modeling, Bellevue, WA, USA.
Institute for Disease Modeling · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mass drug administration (MDA) is a control and elimination tool for treating infectious diseases. For malaria, it is widely accepted that conducting MDA during the dry season results in the best outcomes. However, seasonal movement of populations into and out of MDA target areas is common in many places and could potentially fundamentally limit the ability of MDA campaigns to achieve elimination. Methods: A mathematical model was used to simulate malaria transmission in two villages connected to a high-risk area into and out of which 10% of villagers traveled seasonally. MDA was given only in the villages. Prevalence reduction under various possible timings of MDA and seasonal travel was predicted. Results: MDA is most successful when distributed outside the traveling season and during the village low-transmission season. MDA is least successful when distributed during the traveling season and when traveling overlaps with the peak transmission season in the high-risk area. Mistiming MDA relative to seasonal travel resulted in much poorer outcomes than mistiming MDA relative to the peak transmission season within the villages. Conclusions: Seasonal movement patterns of high-risk groups should be taken into consideration when selecting the optimum timing of MDA campaigns.

Indexed as

Mass Drug AdministrationHuman MigrationHumansMalariaMalaria VaccinesModels, TheoreticalProgram EvaluationSeasonsMalaria Vaccines

Identifiers

PMID29635471
PMCPMC6031018
OpenAlexW2797436405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.