Evidence map›Paper›PMID 33064086›Full record

ArticleJournal of medical Internet research2020

Googling for Ticks and Borreliosis in Germany: Nationwide Google Search Analysis From 2015 to 2018.

Cora Scheerer, Melvin Rüth, Linda Tizek, Martin Köberle, Tilo Biedermann, Alexander Zink

Open access · goldAbstract readHistorical Article
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  14. [Atopic dermatitis-identifying needs in the German population by internet search queries].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 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

6 authors at 1 institution in 1 country.

Cora ScheererDepartment of Dermatology and Allergy, Technical University of Munich, Munich, Germany.ORCID 0000-0002-7728-6225
Melvin RüthDepartment of Dermatology and Allergy, Technical University of Munich, Munich, Germany.ORCID 0000-0002-5333-4659
Linda TizekDepartment of Dermatology and Allergy, Technical University of Munich, Munich, Germany.ORCID 0000-0002-2749-9791
Martin KöberleDepartment of Dermatology and Allergy, Technical University of Munich, Munich, Germany.ORCID 0000-0001-6825-2667
Tilo BiedermannDepartment of Dermatology and Allergy, Technical University of Munich, Munich, Germany.ORCID 0000-0002-5352-5105
Alexander ZinkDepartment of Dermatology and Allergy, Technical University of Munich, Munich, Germany.ORCID 0000-0001-9313-6588
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBorreliosis is the most frequently transmitted tick-borne disease in Europe. It is difficult to estimate the incidence of tick bites and associated diseases in the German population due to the lack of an obligation to register across all 16 federal states of Germany.

objectiveThe aim of this study is to show that Google data can be used to generate general trends of infectious diseases on the basis of borreliosis and tick bites. In addition, the possibility of using Google AdWord data to estimate incidences of infectious diseases, where there is inconsistency in the obligation to notify authorities, is investigated with the perspective to facilitate public health studies.

methodsGoogle AdWords Keyword Planner was used to identify search terms related to ticks and borreliosis in Germany from January 2015 to December 2018. The search volume data from the identified search terms was assessed using Excel version 15.23. In addition, SPSS version 24.0 was used to calculate the correlation between search volumes, registered cases, and temperature.

resultsA total of 1999 tick-related and 542 borreliosis-related search terms were identified, with a total of 209,679,640 Google searches in all 16 German federal states in the period under review. The analysis showed a high correlation between temperature and borreliosis (r=0.88), and temperature and tick bite (r=0.83), and a very high correlation between borreliosis and tick bite (r=0.94). Furthermore, a high to very high correlation between Google searches and registered cases in each federal state was observed (Brandenburg r=0.80, Mecklenburg-West Pomerania r= 0.77, Saxony r= 0.74, and Saxony-Anhalt r=0.90; all P<.001).

conclusionsOur study provides insight into annual trends concerning interest in ticks and borreliosis that are relevant to the German population exemplary in the data of a large internet search engine. Public health studies collecting incidence data may benefit from the results indicating a significant correlation between internet search data and incidences of infectious diseases.

Indexed as

AnimalsGermanyHistory, 21st CenturyHumansIncidenceLyme DiseaseRetrospective StudiesSearch EngineTicksGoogleinfodemiologyinfoveillanceLyme diseasemedical internet researchpublic healthseasonal health trendtick bites, borreliosistick-borne disease

Identifiers

PMID33064086
PMCPMC7600002
OpenAlexW3026689716

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.