Evidence map›Paper›PMID 38181058›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Development of prediction models to identify hotspots of schistosomiasis in endemic regions to guide mass drug administration.

Benjamin J Singer, Jean T Coulibaly, Hailey J Park, Jason R Andrews, Isaac I Bogoch, Nathan C Lo

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. 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.

Benjamin J SingerDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA 94304.
Jean T CoulibalyUnité de Formation et de Recherche Biosciences, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
Hailey J ParkDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA 94304.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA 94304.
Isaac I BogochDepartment of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
Nathan C LoDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA 94304.ORCID 0000-0002-5407-2005

Funding

Real-time predictive modeling for public health departments to control infectious diseasesDP2AI170485 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nathan Lo · 2022 to 2026
$2.3M
NIAID NIH HHS DP2 AI170485
6 · The paper itself

Abstract

Schistosomiasis is a neglected tropical disease affecting over 150 million people. Hotspots of

Indexed as

SchistosomiasisSchistosomiasis mansoniAnimalsHumansMass Drug AdministrationModels, StatisticalSchistosoma haematobiumhotspotsmachine learningneglected tropical diseasespublic healthschistosomiasis

Identifiers

PMID38181058
PMCPMC10786280

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.