Evidence map›Paper›PMID 32187009›Full record

ArticleEmerging infectious diseases2020

Ecology and Epidemiology of Tickborne Pathogens, Washington, USA, 2011-2016.

Elizabeth A Dykstra, Hanna N Oltean, David Kangiser, Nicola Marsden-Haug, Stephen M Rich, Guang Xu, Min-Kuang Lee, Muhammad G Morshed, Christine B Graham, Rebecca J Eisen

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Epidemiological Significance of the Fox (Pathogens (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. HumanPathogens (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Ecology ofPathogens (Basel, Switzerland) · 2022
    Review
  14. Identification ofVector borne and zoonotic diseases (Larchmont, N.Y.) · 2021
    Article
  15. Article
  16. 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

10 authors.

Elizabeth A Dykstra
Hanna N Oltean
David Kangiser
Nicola Marsden-Haug
Stephen M Rich
Guang Xu
Min-Kuang Lee
Muhammad G Morshed
Christine B Graham
Rebecca J Eisen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tickborne diseases are rare in Washington, USA, and the ecology of these pathogens is poorly understood. We integrated surveillance data from humans and ticks to better describe their epidemiology and ecology. During 2011-2016, a total of 202 tickborne disease cases were reported in Washington residents. Of these, 68 (34%) were autochthonous, including cases of Lyme disease, Rocky Mountain spotted fever, tickborne relapsing fever, and tularemia. During May 2011-December 2016, we collected 977 host-seeking ticks, including Ixodes pacificus, I. angustus, I. spinipalpis, I. auritulus, Dermacentor andersoni, and D. variabilis ticks. The prevalence of Borrelia burgdorferi sensu stricto in I. pacificus ticks was 4.0%; of B. burgdorferi sensu lato, 3.8%; of B. miyamotoi, 4.4%; and of Anaplasma phagocytophilum, 1.9%. We did not detect Rickettsia rickettsii in either Dermacentor species. Case-patient histories and detection of pathogens in field-collected ticks indicate that several tickborne pathogens are endemic to Washington.

Indexed as

Anaplasma phagocytophilumBorrelia burgdorferiIxodesLyme DiseaseAnimalsHumansWashingtonbacteriaDermacentorecologyepidemiologyIxodesparasitesTickborne diseaseticksUnited Statesvector-borne infectionsWashingtonzoonoses

Identifiers

PMID32187009
PMCPMC7101130

What OpenQuestion holds

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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.