Evidence map›Paper›PMID 33359203›Full record

ArticleInternational journal for parasitology2021

Spatio-temporal variation in environmental features predicts the distribution and abundance of Ixodes scapularis.

Tam Tran, Melissa A Prusinski, Jennifer L White, Richard C Falco, Vanessa Vinci, Wayne K Gall, Keith Tober, JoAnne Oliver, Lee Ann Sporn, Lisa Meehan and 4 more

Open access · greenAbstract read
In one paragraph

Article in International journal for parasitology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

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  16. Predicting spatio-temporal population patterns ofThe Journal of applied ecology · 2022
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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

14 authors at 8 institutions in 1 country.

Tam TranUniversity of Pennsylvania, Biology Department, 433 S University Ave, 301 Leidy Labs, Philadelphia, PA 19104, USA. Electronic address: tamt@sas.upenn.edu.
Melissa A PrusinskiNew York State Department of Health, Bureau of Communicable Disease Control, Empire State Plaza, Corning Tower Building, Room 651, P.O. Box 509, Albany, NY 12201-0509, USA.
Jennifer L WhiteNew York State Department of Health, Bureau of Communicable Disease Control, Empire State Plaza, Corning Tower Building, Room 651, P.O. Box 509, Albany, NY 12201-0509, USA.
Richard C FalcoNew York State Department of Health, Bureau of Communicable Disease Control, Fordham University Louis Calder Center, 31 Whippoorwill Road, Armonk, NY 10504, USA.
Vanessa VinciNew York State Department of Health, Bureau of Communicable Disease Control, Fordham University Louis Calder Center, 31 Whippoorwill Road, Armonk, NY 10504, USA.
Wayne K GallNew York State Department of Health, Bureau of Communicable Disease Control, Buffalo State College, 1300 Elmwood Avenue, Buffalo, NY 14222, USA.
Keith ToberNew York State Department of Health, Bureau of Communicable Disease Control, Buffalo State College, 1300 Elmwood Avenue, Buffalo, NY 14222, USA.
JoAnne OliverCentral New York Regional Office, Department of Health, State of New York, 217 South Salina Street, Syracuse, NY 13202, USA; Department of Environmental Sciences, School of Agriculture and Natural Resources, College of Agriculture and Technology, State University of New York, Morrisville, NY 13408, USA.
Lee Ann SpornPaul Smith's College, Natural Sciences Division, 7777 New York Route 30, Paul Smiths, NY 12970, USA.
Lisa MeehanNew York State Department of Health, Wadsworth Center, Division of Environmental Health Sciences, Organic Analytical Chemistry Laboratory, P.O. Box 509, Albany, NY 12201-0509, USA(1).
Elyse BankerNew York State Department of Health, Wadsworth Center, Division of Infectious Disease, Griffin Laboratory, Arbovirus Laboratory, Building 2, 5668 State Farm Road, Slingerlands, NY 12159, USA(2).
P Bryon BackensonNew York State Department of Health, Bureau of Communicable Disease Control, Empire State Plaza, Corning Tower Building, Room 651, P.O. Box 509, Albany, NY 12201-0509, USA.
Shane T JensenUniversity of Pennsylvania, Wharton Business School, 463 Jon M. Huntsman Hall, 3730 Walnut Street, Philadelphia, PA 19104, USA.
Dustin BrissonUniversity of Pennsylvania, Biology Department, 433 S University Ave, 301 Leidy Labs, Philadelphia, PA 19104, USA.
Corning (United States) · USFordham University · USNew York State Department of Health · USUniversity of Pennsylvania · USBuffalo State University · USHuntsman (United States) · USPaul Smith's College · USState University of New York · US

Funding

Training in Emerging Infectious DiseasesT32AI055400 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI CHERRY, SARA, HENSLEY, SCOTT ERIC · 2003 to 2022
$4.4M
Phylogeographic dynamics of tick-borne pathogensR01AI142572 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2018 to 2023
$2.4M
Phylogeographic dynamics of a vector and pathogen in a natural environmentR01AI097137 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2012 to 2016
$1.9M
Selective Whole Genome Amplification - Enabling Microbial Population GenomicsR21AI137433 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2018 to 2019
$429k
The Environmental and Human Factors that Determine Ixodes scapularis-borne Diseases IncidenceF31AI133871 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI TRAN, TAM MINH · 2019 to 2020
$83k
NIAID NIH HHS F31 AI133871NIAID NIH HHS R01 AI097137NIAID NIH HHS R01 AI142572NIAID NIH HHS R21 AI137433NIAID NIH HHS T32 AI055400
6 · The paper itself

Abstract

Many species have experienced dramatic changes in both geographic range and population sizes in recent history. Increases in the geographic range or population size of disease vectors have public health relevance as these increases often precipitate the emergence of infectious diseases in human populations. Accurately identifying environmental factors affecting the biogeographic patterns of vector species is a long-standing analytical challenge, stemming from a paucity of data capturing periods of rapid changes in vector demographics. We systematically investigated the occurrence and abundance of nymphal Ixodes scapularis ticks at 532 sampling locations throughout New York State (NY), USA, between 2008 and 2018, a time frame that encompasses the emergence of diseases vectored by these ticks. Analyses of these field-collected data demonstrated a range expansion into northern and western NY during the last decade. Nymphal abundances increased in newly colonised areas, while remaining stable in areas with long-standing populations over the last decade. These trends in the geographic range and abundance of nymphs correspond to both the geographic expansion of human Lyme disease cases and increases in incidence rates. Analytic models fitted to these data incorporating time, space, and environmental factors, accurately identified drivers of the observed changes in nymphal occurrence and abundance. These models accounted for the spatial and temporal variation in the occurrence and abundance of nymphs and can accurately predict nymphal population patterns in future years. Forecasting disease risk at fine spatial scales prior to the transmission season can influence both public health mitigation strategies and individual behaviours, potentially impacting tick-borne disease risk and subsequently human disease incidence.

Indexed as

IxodesLyme DiseaseTick-Borne DiseasesAnimalsHumansNymphPopulation DensityDistributionEnvironmental changeLyme diseasePredictive modelsTicks

Identifiers

PMID33359203
PMCPMC7940570
OpenAlexW3113501075

What OpenQuestion holds

Textmetadata
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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.