Evidence map›Paper›PMID 36707193›Full record

ArticleSpatial and spatio-temporal epidemiology2023

Fine-scale variation in the effect of national border on COVID-19 spread: A case study of the Saxon-Czech border region.

Adam Mertel, Jiří Vyskočil, Lennart Schüler, Weronika Schlechte-Wełnicz, Justin M Calabrese

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Spatial Autocorrelation of COVID-19 in Slovakia.Tropical medicine and infectious disease · 2023
    Article
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

5 authors.

Adam MertelCenter for Advanced Systems Understanding (CASUS), D-02826 Görlitz, Germany; Helmholtz-Zentrum Dresden Rossendorf (HZDR), D-01328 Dresden, Germany. Electronic address: mertel.adam@gmail.com.
Jiří VyskočilCenter for Advanced Systems Understanding (CASUS), D-02826 Görlitz, Germany; Helmholtz-Zentrum Dresden Rossendorf (HZDR), D-01328 Dresden, Germany.
Lennart SchülerCenter for Advanced Systems Understanding (CASUS), D-02826 Görlitz, Germany; Helmholtz-Zentrum Dresden Rossendorf (HZDR), D-01328 Dresden, Germany; Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research (UFZ), D-04318 Leipzig, Germany.
Weronika Schlechte-WełniczCenter for Advanced Systems Understanding (CASUS), D-02826 Görlitz, Germany; Helmholtz-Zentrum Dresden Rossendorf (HZDR), D-01328 Dresden, Germany.
Justin M CalabreseCenter for Advanced Systems Understanding (CASUS), D-02826 Görlitz, Germany; Helmholtz-Zentrum Dresden Rossendorf (HZDR), D-01328 Dresden, Germany; Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), D-04318 Leipzig, Germany; Department of Biology, University of Maryland, 20742-4415 College Park, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global extent and temporally asynchronous pattern of COVID-19 spread have repeatedly highlighted the role of international borders in the fight against the pandemic. Additionally, the deluge of high resolution, spatially referenced epidemiological data generated by the pandemic provides new opportunities to study disease transmission at heretofore inaccessible scales. Existing studies of cross-border infection fluxes, for both COVID-19 and other diseases, have largely focused on characterizing overall border effects. Here, we couple fine-scale incidence data with localized regression models to quantify spatial variation in the inhibitory effect of an international border. We take as a case study the border region between the German state of Saxony and the neighboring regions in northwestern Czechia, where municipality-level COVID-19 incidence data are available on both sides of the border. Consistent with past studies, we find an overall inhibitory effect of the border, but with a clear asymmetry, where the inhibitory effect is stronger from Saxony to Czechia than vice versa. Furthermore, we identify marked spatial variation along the border in the degree to which disease spread was inhibited. In particular, the area around Löbau in Saxony appears to have been a hotspot for cross-border disease transmission. The ability to identify infection flux hotspots along international borders may help to tailor monitoring programs and response measures to more effectively limit disease spread.

Indexed as

COVID-19AnimalsCzech RepublicHumansIncidencePandemicsBorder effectCOVID-19Regression modelSpatial epidemiological modelingSpatio-temporal data analysis

Identifiers

PMID36707193
PMCPMC9741554

What Socratic holds

Textmetadata
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 Socratic graph.