Evidence map›Paper›PMID 30105272›Full record

ReviewBioMed research international2018

Current Visceral Leishmaniasis Research: A Research Review to Inspire Future Study.

Kaiming Bi, Yuyang Chen, Songnian Zhao, Yan Kuang, Chih-Hang John Wu

Abstract readReview
In one paragraph

Review in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Iranian journal of veterinary research · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

5 authors.

Kaiming BiDepartment of Industrial and Manufacturing Systems Engineering, Kansas State University, 2061 Rathbone Hall., Manhattan, KS 66506, USA.ORCID 0000-0001-6234-6232
Yuyang ChenDepartment of Industrial and Manufacturing Systems Engineering, Kansas State University, 2061 Rathbone Hall., Manhattan, KS 66506, USA.
Songnian ZhaoDepartment of Industrial and Manufacturing Systems Engineering, Kansas State University, 2061 Rathbone Hall., Manhattan, KS 66506, USA.
Yan KuangDepartment of Industrial and Manufacturing Systems Engineering, Kansas State University, 2061 Rathbone Hall., Manhattan, KS 66506, USA.
Chih-Hang John WuDepartment of Industrial and Manufacturing Systems Engineering, Kansas State University, 2061 Rathbone Hall., Manhattan, KS 66506, USA.ORCID 0000-0001-9929-4421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral leishmaniasis (VL), one of the deadliest parasitic diseases in the world, causes more than 50,000 human deaths each year and afflicts millions of people throughout South America, East Africa, South Asia, and Mediterranean Region. In 2015 the World Health Organization classified VL as a neglected tropical disease (NTD), prompting concentrated study of the VL epidemic using mathematical and simulation models. This paper reviews literature related to prevalence and prevention control strategies. More than thirty current research works were reviewed and classified based on VL epidemic study methods, including modeling approaches, control strategies, and simulation techniques since 2013. A summarization of these technical methods, major findings, and contributions from existing works revealed that VL epidemic research efforts must improve in the areas of validating and verifying VL mathematical models with real-world epidemic data. In addition, more dynamic disease control strategies must be explored and advanced simulation techniques must be used to predict VL pandemics.

Indexed as

Leishmaniasis, VisceralHumansNeglected DiseasesResearch

Identifiers

PMID30105272
PMCPMC6076917

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.