Evidence map›Paper›PMID 32044243›Full record

ReviewTrends in parasitology2020

Spatial Lifecourse Epidemiology and Infectious Disease Research.

Peng Jia, Weihua Dong, Shujuan Yang, Zhicheng Zhan, La Tu, Shengjie Lai

Abstract readReview
In one paragraph

Review in Trends in parasitology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Editorial: Spatial epidemiology.Frontiers in public health · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. COVID-19 and urban vulnerability in India.Habitat international · 2020
    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

6 authors.

Peng JiaSchool of Resources and Environmental Science, Wuhan University, Wuhan, China; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China; International Initiative on Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China. Electronic address: jiapengff@hotmail.comjiapengff@hotmail.com.
Weihua DongState Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, 100875, China; Faculty of Geography, Beijing Normal University, Beijing, 100875, China.
Shujuan YangWest China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China; International Initiative on Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.
Zhicheng ZhanState Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, 100875, China; Faculty of Geography, Beijing Normal University, Beijing, 100875, China.
La TuDepartment of Information Art and Design, Tsinghua University, Beijing, 100084, China.
Shengjie LaiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK; Flowminder Foundation, Stockholm, SE-113 55, Sweden; School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial lifecourse epidemiology aims to utilize advanced spatial, location-aware, and artificial intelligence technologies to investigate long-term effects of measurable biological, environmental, behavioral, and psychosocial factors on individual risk for chronic diseases. It could also further the research on infectious disease dynamics, risks, and consequences across the life course.

Indexed as

Epidemiologic MethodsLongevityAnimalsArtificial IntelligenceCommunicable DiseasesEpidemiologyHumansResearchTimeinfectious diseasespatial analysisspatial lifecourse epidemiology

Identifiers

PMID32044243
PMCPMC7172117

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.