Evidence map›Paper›PMID 26848672›Full record

ArticleInternational journal of environmental research and public health2016

Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti.

Andrew Curtis, Jason K Blackburn, Sarah L Smiley, Minmin Yen, Andrew Camilli, Meer Taifur Alam, Afsar Ali, J Glenn Morris

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. VisualCommunity: a platform for archiving and studying communities.Journal of computational social science · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. The Use of Geonarratives to Add Context to Fine Scale Geospatial Research.International journal of environmental research and public health · 2019
    Article
  8. Spatial Video Health Risk Mapping in Informal Settlements: Correcting GPS Error.International journal of environmental research and public health · 2018
    Article
  9. Article
  10. 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

8 authors.

Andrew CurtisGIS, Health & Hazards Lab, Department of Geography, Kent State University, Kent, OH 44242, USA. acurti13@kent.edu.
Jason K BlackburnSpatial Epidemiology and Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL 32611, USA. jkblackburn@ufl.edu.
Sarah L SmileyGIS, Health & Hazards Lab, Department of Geography, Kent State University at Salem, Salem, OH 44460, USA. ssmiley8@kent.edu.
Minmin YenDepartment of Molecular Biology and Microbiology, Howard Hughes Medical Institute, Tufts University School of Medicine, Boston, MA 02111, USA. minmin.yen@tufts.edu.
Andrew CamilliDepartment of Molecular Biology and Microbiology, Howard Hughes Medical Institute, Tufts University School of Medicine, Boston, MA 02111, USA. andrew.camilli@tufts.edu.
Meer Taifur AlamEmerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA. mtalam@epi.ufl.edu.
Afsar AliEmerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA. afsarali@epi.ufl.edu.
J Glenn MorrisEmerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA. jgmorris@ufl.edu.

Funding

MOLECULAR ANALYSIS OF MICROBIAL PATHOGENST32AI007422 · NIAID · TUFTS UNIVERSITY BOSTON · PI Ralph R. Isberg · 1992 to 2026
$5.7M
Cholera Transmission in Gressier Region, HaitiR01AI097405 · NIAID · UNIVERSITY OF FLORIDA · PI MORRIS, JOHN GLENN · 2012 to 2015
$2.7M
NIAID NIH HHS R01 AI097405NIAID NIH HHS R01AI097405NIAID NIH HHS T32 AI007422
6 · The paper itself

Abstract

The cartographic challenge in many developing world environments suffering a high disease burden is a lack of granular environmental covariates suitable for modeling disease outcomes. As a result, epidemiological questions, such as how disease diffuses at intra urban scales are extremely difficult to answer. This paper presents a novel geospatial methodology, spatial video, which can be used to collect and map environmental covariates, while also supporting field epidemiology. An example of epidemic cholera in a coastal town of Haiti is used to illustrate the potential of this new method. Water risks from a 2012 spatial video collection are used to guide a 2014 survey, which concurrently included the collection of water samples, two of which resulted in positive lab results "of interest" (bacteriophage specific for clinical cholera strains) to the current cholera situation. By overlaying sample sites on 2012 water risk maps, a further fifteen proposed water sample locations are suggested. These resulted in a third spatial video survey and an additional "of interest" positive water sample. A potential spatial connection between the "of interest" water samples is suggested. The paper concludes with how spatial video can be an integral part of future fine-scale epidemiological investigations for different pathogens.

Indexed as

Geographic Information SystemsGeographic MappingVideo RecordingCholeraHaitiHumansbacteriophagecholerageographic information systemsHaitispatial video

Identifiers

PMID26848672
PMCPMC4772207

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.