Evidence map›Paper›PMID 30841596›Full record

ArticleInternational journal of environmental research and public health2019

Micro-Space Complexity and Context in the Space-Time Variation in Enteric Disease Risk for Three Informal Settlements of Port au Prince, Haiti.

Andrew Curtis, Robert Squires, Vanessa Rouzier, Jean William Pape, Jayakrishnan Ajayakumar, Sandra Bempah, Meer Taifur Alam, Md Mahbubul Alam, Mohammed H Rashid, Afsar Ali and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spatial Video and EpiExplorer: A Field Strategy to Contextualize Enteric Disease Risk in Slum Environments.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Slums, Space, and State of Health-A Link between Settlement Morphology and Health Data.International journal of environmental research and public health · 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

11 authors.

Andrew CurtisGIS Health & Hazards Lab, Kent State University, Kent, OH 44242, USA. acurti13@kent.edu.
Robert SquiresGIS Health & Hazards Lab, Kent State University, Kent, OH 44242, USA. rsquire2@kent.edu.
Vanessa RouzierLes Centres Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti. vrouzier@gheskio.org.
Jean William PapeLes Centres Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti. jwpape@gheskio.org.
Jayakrishnan AjayakumarGIS Health & Hazards Lab, Kent State University, Kent, OH 44242, USA. jajayaku@kent.edu.ORCID 0000-0001-9564-7728
Sandra BempahGIS Health & Hazards Lab, Kent State University, Kent, OH 44242, USA. sbempah@kent.edu.
Meer Taifur AlamEmerging Pathogens Institute and Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32601, USA. mtalam@epi.ufl.edu.
Md Mahbubul AlamEmerging Pathogens Institute and Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32601, USA. md.alam@epi.ufl.edu.
Mohammed H RashidEmerging Pathogens Institute and Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32601, USA. mhrashid@epi.ufl.edu.
Afsar AliEmerging Pathogens Institute and Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32601, USA. afsarali@epi.ufl.edu.
John Glenn MorrisEmerging Pathogens Institute and Department of Medicine, College of Medicine, University of Florida, Gainesville, FL 32601, USA. jgmorris@epi.ufl.edu.ORCID 0000-0001-9347-1984

Funding

Recurrence of Cholera in Haiti: Exploration of Contributing Factors and Intervention StrategiesR01AI126357 · NIAID · UNIVERSITY OF FLORIDA · PI John Glenn Morris · 2016 to 2026
$7.3M
NIAID NIH HHS R01 AI126357
6 · The paper itself

Abstract

Diffusion of cholera and other diarrheal diseases in an informal settlement is a product of multiple behavioral, environmental and spatial risk factors. One of the most important components is the spatial interconnections among water points, drainage ditches, toilets and the intervening environment. This risk is also longitudinal and variable as water points fluctuate in relation to bacterial contamination. In this paper we consider part of this micro space complexity for three informal settlements in Port au Prince, Haiti. We expand on more typical epidemiological analysis of fecal coliforms at water points, drainage ditches and ocean sites by considering the importance of single point location fluctuation coupled with recording micro-space environmental conditions around each sample site. Results show that spatial variation in enteric disease risk occurs within neighborhoods, and that while certain trends are evident, the degree of individual site fluctuation should question the utility of both cross-sectional and more aggregate analysis. Various factors increase the counts of fecal coliform present, including the type of water point, how water was stored at that water point, and the proximity of the water point to local drainage. Some locations fluctuated considerably between being safe and unsafe on a monthly basis. Next steps to form a more comprehensive contextualized understanding of enteric disease risk in these environments should include the addition of behavioral factors and local insight.

Indexed as

CholeraCitiesDiarrheaGeographic Information SystemsHaitiHumansRisk FactorscholeraGISHaitiinformal settlementsspatial video

Identifiers

PMID30841596
PMCPMC6427463

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Registered trials

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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.