Evidence map›Paper›PMID 37374922›Full record

ArticleMicroorganisms2023

Human-Biting

Eric L Siegel, Nathalie Lavoie, Guang Xu, Catherine M Brown, Michel Ledizet, Stephen M Rich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2023. 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. The Lyme Disease Vaccine Paradox.Journal of clinical medicine · 2026
    Article
  2. Article
  3. Insects · 2023
    Article
  4. Article
  5. 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

6 authors.

Eric L SiegelLaboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.
Nathalie LavoieGraduate School of Biomedical Sciences, Tufts University, Boston, MA 02111, USA.
Guang XuLaboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0002-5240-9276
Catherine M BrownMassachusetts Department of Public Health, Boston, MA 02108, USA.
Michel LedizetL2 Diagnostics, LLC, New Haven, CT 06511, USA.
Stephen M RichLaboratory of Medical Zoology, Department of Microbiology, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0001-7175-6380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tick-borne zoonoses pose a serious burden to global public health. To understand the distribution and determinants of these diseases, the many entangled environment-vector-host interactions which influence risk must be considered. Previous studies have evaluated how passive tick testing surveillance measures connect with the incidence of human Lyme disease. The present study sought to extend this to babesiosis and anaplasmosis, two rare tick-borne diseases. Human cases reported to the Massachusetts Department of Health and submissions to TickReport tick testing services between 2015 and 2021 were retrospectively analyzed. Moderate-to-strong town-level correlations using Spearman's Rho (ρ) were established between

Indexed as

anaplasmosisbabesiosispassive surveillancetick-borne diseases

Identifiers

PMID37374922
PMCPMC10301449

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.