Evidence map›Paper›PMID 38495312›Full record

ArticleLancet regional health. Americas2024

Models and data used to predict the abundance and distribution of

Yogita Sharma, Elda K E Laison, Tanya Philippsen, Junling Ma, Jude Kong, Sajjad Ghaemi, Juxin Liu, François Hu, Bouchra Nasri

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

9 authors.

Yogita SharmaDepartment of Mathematics and Statistics, University of Victoria, Victoria, Canada.
Elda K E LaisonDépartement de Médecine Préventive et Sociale, University of Montréal, Montréal, Canada.
Tanya PhilippsenDepartment of Mathematics and Statistics, University of Victoria, Victoria, Canada.
Junling MaDepartment of Mathematics and Statistics, University of Victoria, Victoria, Canada.
Jude KongDepartment of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
Sajjad GhaemiDigital Technologies Research Center, National Research Council of Canada, Toronto, Canada.
Juxin LiuDepartment of Mathematics and Statistics, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
François HuDepartment of Mathematics and Statistics, University of Montréal, Montréal, Canada.
Bouchra NasriDépartement de Médecine Préventive et Sociale, University of Montréal, Montréal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tick-borne diseases (TBD) remain prevalent worldwide, and risk assessment of tick habitat suitability is crucial to prevent or reduce their burden. This scoping review provides a comprehensive survey of models and data used to predict

Indexed as

Data-drivenIxodes scapularisMathematicalMechanisticModelsNorth AmericaTicks

Identifiers

PMID38495312
PMCPMC10943480

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.