Evidence map›Paper›PMID 35399592›Full record

ArticleApplied geography (Sevenoaks, England)2022

Do spatiotemporal units matter for exploring the microgeographies of epidemics?

Sui Zhang, Minghao Wang, Zhao Yang, Baolei Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied geography (Sevenoaks, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Sui ZhangCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
Minghao WangCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
Zhao YangCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.
Baolei ZhangCollege of Geography and Environment, Shandong Normal University, Jinan, 250014, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From the onset of the COVID-19 pandemic in 2020, studies on the microgeographies of epidemics have surged. However, studies have neglected the significant impact of multiple spatiotemporal units, such as report timestamps and spatial scales. This study examines three cities with localized COVID-19 resurgence after the first wave of the pandemic in mainland China to estimate the differential impact of spatiotemporal unit on exploring the influencing factors of epidemic spread at the microscale. The quantitative analysis results suggest that future spatial epidemiology research should give greater attention to the "symptom onset" timestamp instead of only the "confirmed" data and that "spatial transmission" should not be confused with "spatial sprawling" of epidemics, which can greatly reduce comparability between epidemiology studies. This research also highlights the importance of considering the modifiable areal unit problem (MAUP) and the uncertain geographic context problem (UGCoP) in future studies.

Indexed as

COVID-19MicrogeographyModifiable areal unit problemSpatial epidemiologySpatiotemporal unitsZero-inflated model

Identifiers

PMID35399592
PMCPMC8982866

What OpenQuestion 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 OpenQuestion graph.