Evidence map›Paper›PMID 24163443›Full record

ArticleAnnals of the Association of American Geographers. Association of American Geographers2012

Integration of Spatial and Social Network Analysis in Disease Transmission Studies.

Michael Emch, Elisabeth D Root, Sophia Giebultowicz, Mohammad Ali, Carolina Perez-Heydrich, Mohammad Yunus

Abstract read
In one paragraph

Article in Annals of the Association of American Geographers. Association of American Geographers, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Social Network Spatial Model.Spatial statistics · 2019
    Article
  14. Article
  15. Article
  16. Genotypic and Spatial Analysis of Mycobacterium tuberculosis Transmission in a High-Incidence Urban Setting.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Article
  17. Modeling Social Ties and Household Mobility.Annals of the Association of American Geographers. Association of American Geographers · 2014
    Article
  18. 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.

Michael EmchDepartment of Geography, University of North Carolina at Chapel Hill ; Carolina Population Center, University of North Carolina at Chapel Hill.
Elisabeth D Root
Sophia Giebultowicz
Mohammad Ali
Carolina Perez-Heydrich
Mohammad Yunus

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Integration of Spatial and Social Network Analysis in Vaccine TrialsR03AI076748 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EMCH, MICHAEL · 2009 to 2010
$147k
NIAID NIH HHS R03 AI076748NICHD NIH HHS R24 HD050924NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

This study presents a case study of how social network and spatial analytical methods can be used simultaneously for disease transmission modeling. The paper first reviews strategies employed in previous studies and then offers the example of transmission of two bacterial diarrheal diseases in rural Bangladesh. The goal is to understand how diseases vary socially above and beyond the effects of the local neighborhood context. Patterns of cholera and shigellosis incidence are analyzed in space and within kinship-based social networks in Matlab, Bangladesh. Data include a spatially referenced longitudinal demographic database which consists of approximately 200,000 people and laboratory-confirmed cholera and shigellosis cases from 1983 to 2003. Matrices are created of kinship ties between households using a complete network design and distance matrices are also created to model spatial relationships. Moran's I statistics are calculated to measure clustering within both social and spatial matrices. Combined spatial effects-spatial disturbance models are built to simultaneously analyze spatial and social effects while controlling for local environmental context. Results indicate that cholera and shigellosis always clusters in space and only sometimes within social networks. This suggests that the local environment is most important for understanding transmission of both diseases however kinship-based social networks also influence their transmission. Simultaneous spatial and social network analysis can help us better understand disease transmission and this study has offered several strategies on how.

Indexed as

BangladeshCholeraNeighborhood EffectsShigellosisSocial Networks

Identifiers

PMID24163443
PMCPMC3806718

What OpenQuestion holds

Textmetadata
LicenceTDM
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.