Evidence map›Paper›PMID 30893749›Full record

ArticleThe Science of the total environment2019

The effects of multiyear and seasonal weather factors on incidence of Lyme disease and its vector in New York State.

Shao Lin, Srishti Shrestha, Melissa A Prusinski, Jennifer L White, Gary Lukacik, Maggie Smith, Jianhai Lu, Bryon Backenson

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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  8. Passive Surveillance of Human-BitingInternational journal of environmental research and public health · 2023
    Article
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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

8 authors at 3 institutions in 2 countries.

Shao LinDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University at New York, Rensselaer, NY, United States of America; Department of Epidemiology and Biostatistics, University at Albany, State University at New York, Rensselaer, NY, United States of America. Electronic address: slin@albany.edu.
Srishti ShresthaDepartment of Epidemiology and Biostatistics, University at Albany, State University at New York, Rensselaer, NY, United States of America.
Melissa A PrusinskiInvestigations and Vector Surveillance Units, Bureau of Communicable Disease Control, New York State Department of Health, Albany, NY, United States of America.
Jennifer L WhiteInvestigations and Vector Surveillance Units, Bureau of Communicable Disease Control, New York State Department of Health, Albany, NY, United States of America.
Gary LukacikInvestigations and Vector Surveillance Units, Bureau of Communicable Disease Control, New York State Department of Health, Albany, NY, United States of America.
Maggie SmithDepartment of Epidemiology and Biostatistics, University at Albany, State University at New York, Rensselaer, NY, United States of America.
Jianhai LuDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Bryon BackensonDepartment of Epidemiology and Biostatistics, University at Albany, State University at New York, Rensselaer, NY, United States of America; Investigations and Vector Surveillance Units, Bureau of Communicable Disease Control, New York State Department of Health, Albany, NY, United States of America.
Albany State University · USNew York State Department of Health · USSun Yat-sen University · CN

Funding

Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategiesR01AG070949 · NIA · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2022 to 2025
$1.6M
Assess and Model the Health Effects, Population, and Infrastructural Vulnerabilities of Power OutageR15ES028000 · NIEHS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2018 to 2018
$444k
NCEH CDC HHS U01 EH000396NIA NIH HHS R01 AG070949NIEHS NIH HHS R15 ES028000
6 · The paper itself

Abstract

backgroundMore frequent extreme weather and warmer weather due to climate change might change the spatiotemporal distributions of vector-borne diseases, including Lyme disease. However, limited studies have examined the associations of Lyme disease and its vectors with weather factors, especially multi-year and multi-weather factors related to vector life cycle.

objectivesWe investigated the associations between multi-year, unique weather indicators (relevant to tick and host activities) and Lyme disease incidence or documented I. scapularis encounters in New York State (NYS).

methodsUsing a generalized estimating equation model, we linked Lyme disease and tick (I. scapularis) data, obtained from the NYS Department of Health (NYSDOH) Communicable Disease Surveillance and Tick Identification Service, with weather data. We used a season-specific exposure index by considering days in different seasons with certain temperature and precipitation ranges, summer Palmer Hydrological Drought Index, and fitted linear regression models using generalized estimating equations.

resultsLyme disease and I. scapularis encounters were modestly correlated (Spearman correlation = 0.60, p-value <0.001). The results indicate that summer Lyme disease cases and tick encounters may increase by 4-10%, per one day in spring with a minimum temperature range between 40 and 50 °F in the year of diagnosis and previous year. A day increase in summer with maximum temperature > 75 °F in the previous year was associated with 2% increase in summer disease counts. Mild winter days were associated with an increase in summer tick encounters.

conclusionsExtended spring and summer days and mild winter temperatures appear to increase Lyme disease cases and tick exposure risk in NYS.

Indexed as

WeatherAnimalsArachnid VectorsClimate ChangeIncidenceIxodesLyme DiseaseNew YorkSeasonsClimate changeI. ScapularisLyme diseaseNew York StateTicks

Identifiers

PMID30893749
PMCPMC12191150
OpenAlexW2912103720

What OpenQuestion holds

Textmetadata
LicenceTDM
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.