Evidence map›Paper›PMID 24406101›Full record

ReviewParasites & vectors2014

Advances in studies of disease-navigating webs: Sarcoptes scabiei as a case study.

Samer Alasaad, Mathieu Sarasa, Jorg Heukelbach, Domnic Mijele, Ramón C Soriguer, Xing-Quan Zhu, Luca Rossi

Open access · goldAbstract readReview
In one paragraph

Review in Parasites & vectors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Infestation, histology, and molecular confirmation ofInternational journal for parasitology. Parasites and wildlife · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sarcoptic mange in wild quichua porcupines (International journal for parasitology. Parasites and wildlife · 2018
    Article
  8. Article
  9. Article
  10. Review
  11. 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

7 authors at 6 institutions in 6 countries.

Samer AlasaadEstación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Avda, Américo Vespucio s/n 41092, Sevilla, Spain. samer@ebd.csic.es.
Mathieu Sarasa
Jorg Heukelbach
Domnic Mijele
Ramón C Soriguer
Xing-Quan Zhu
Luca Rossi
Consejo Superior de Investigaciones Científicas · ESChinese Academy of Agricultural Sciences · CNIssy Media (France) · FRKenya Wildlife Service · KEUniversidade Federal do Ceará · BRUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discipline of epidemiology is the study of the patterns, causes and effects of health and disease conditions in defined anima populations. It is the key to evidence-based medicine, which is one of the cornerstones of public health. One of the important facets of epidemiology is disease-navigating webs (disease-NW) through which zoonotic and multi-host parasites in general move from one host to another. Epidemiology in this context includes (i) classical epidemiological approaches based on the statistical analysis of disease prevalence and distribution and, more recently, (ii) genetic approaches with approximations of disease-agent population genetics. Both approaches, classical epidemiology and population genetics, are useful for studying disease-NW. However, both have strengths and weaknesses when applied separately, which, unfortunately, is too often current practice. In this paper, we use Sarcoptes scabiei mite epidemiology as a case study to show how important an integrated approach can be in understanding disease-NW and subsequent disease control.

Indexed as

Sarcoptes scabieiWeb BrowserAnimalsHumansScabies

Identifiers

PMID24406101
PMCPMC3895661
OpenAlexW2161726814

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.