Evidence map›Paper›PMID 33824634›Full record

ArticleUrban forestry & urban greening2021

Using urban landscape pattern to understand and evaluate infectious disease risk.

Yang Ye, Hongfei Qiu

Abstract read
In one paragraph

Article in Urban forestry & urban greening, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Impacts of Urban Blue-Green Space on Residents' Health: A Bibliometric Review.International journal of environmental research and public health · 2022
    Review
  8. COVID-19 and the importance of urban green spaces.Urban forestry & urban greening · 2022
    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

2 authors.

Yang YeDepartment of Landscape Architecture, College of Horticulture and Forest, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan, Hubei Province, 430070, China.
Hongfei QiuDepartment of Landscape Architecture, College of Horticulture and Forest, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan, Hubei Province, 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 case numbers in 161 sub-districts of Wuhan were investigated based on landscape epidemiology, and their landscape metrics were calculated based on land use/land cover (LULC). Initially, a mediation model verified a partially mediated population role in the relationship between landscape pattern and infection number. Adjusted incidence rate (AIR) and community safety index (CSI), two indicators for infection risk in sub-districts, were 25.82∼63.56 ‱ and 3.00∼15.87 respectively, and central urban sub-districts were at higher infection risk. Geographically weighted regression (GWR) performed better than OLS regression with AICc differences of 7.951∼181.261. The adjusted R

Indexed as

COVID-19Infection riskLandscape epidemiologyLandscape metricsLandscape patternWuhan

Identifiers

PMID33824634
PMCPMC8017915

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.