Evidence map›Paper›PMID 29178823›Full record

ArticleBMC genomics2017

Genetic relatedness of Vibrio cholerae isolates within and between households during outbreaks in Dhaka, Bangladesh.

Christine Marie George, Mahamud Rashid, Mathieu Almeida, K M Saif-Ur-Rahman, Shirajum Monira, Md Sazzadul Islam Bhuyian, Khaled Hasan, Toslim T Mahmud, Shan Li, Jessica Brubaker and 7 more

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Contrasting Epidemiology of Cholera in Bangladesh and Africa.The Journal of infectious diseases · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Frontiers in public health · 2018
    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

17 authors.

Christine Marie GeorgeDepartment of International Health, Program in Global Disease Epidemiology and Control, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Room E5535, Baltimore, MD, 21205-2103, USA. cgeorg19@jhu.edu.
Mahamud RashidInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
Mathieu AlmeidaUniversity of Maryland School of Medicine, 655 W Baltimore S, Baltimore, MD, 21201, USA.
K M Saif-Ur-RahmanInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
Shirajum MoniraInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
Md Sazzadul Islam BhuyianInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
Khaled HasanJohns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2103, USA.
Toslim T MahmudInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
Shan LiUniversity of Maryland School of Medicine, 655 W Baltimore S, Baltimore, MD, 21201, USA.
Jessica BrubakerJohns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2103, USA.
Jamie PerinJohns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2103, USA.
Zillur RahmanInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
Munshi MustafizInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
David A SackJohns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2103, USA.
R Bradley SackJohns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205-2103, USA.
Munirul AlamInternational Centre for Diarrhoeal Disease Research, Shaheed Tajuddin Ahmed Ave, Dhaka, 1213, Bangladesh.
O Colin StineUniversity of Maryland School of Medicine, 655 W Baltimore S, Baltimore, MD, 21201, USA.

Funding

Epidemiology and Ecology of Cholera in AfricaR01AI123422 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Amanda Kay Debes, DAVID A SACK · 2017 to 2026
$6.6M
Identifying Transmission Routes for Cholera among Household Contacts of Cases K01AI110526 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GEORGE, CHRISTINE MARIE · 2015 to 2017
$410k
National Institute of Allergy and Infectious Diseases 1K01AI110526-01A1NIAID NIH HHS K01 AI110526NIAID NIH HHS R01 AI123422
6 · The paper itself

Abstract

backgroundHousehold contacts of cholera patients have a 100 times higher risk of developing a cholera infection than the general population. To compare the genetic relatedness of clinical and water source Vibrio cholerae isolates from cholera patients' households across three outbreaks, we analyzed these isolates using whole-genome-sequencing (WGS) and multilocus variable-number tandem-repeat analysis (MLVA).

resultsThe WGS analyses revealed that 80% of households had source water isolates that were more closely related to clinical isolates from the same household than to any other isolates. While in another 20% of households an isolate from a person was more closely related to clinical isolates from another household than to source water isolates from their own household. The mean pairwise differences in single nucleotide-variant (SNV) counts for isolates from the same household were significantly lower than those for different households (2.4 vs. 7.7 p < 0.0001), and isolates from the same outbreak had significantly fewer mean pairwise differences compared to isolates from different outbreaks (mean: 6.2 vs. 8.0, p < 0.0001). Based on MLVA in outbreak 1, we observed that the majority of households had clinical isolates with MLVA genotypes related to other clinical isolates and unrelated to water source isolates from the same household. While in outbreak 3, there were different MLVA genotypes between households, however within the majority of households, the clinical and water source isolates had the same MLVA genotypes. The beginning of outbreak 2 resembled outbreak 1 and the latter part resembled outbreak 3. We validated our use of MLVA by comparing it to WGS. Isolates with the identical MLVA genotype had significantly fewer mean pairwise SNV differences than those isolates with different MLVA genotypes (mean: 4.8 vs. 7.7, p < 0.0001). Furthermore, consistent with WGS results, the number of pairwise differences in the five MLVA loci for isolates within the same household was significantly lower than isolates from different households (mean: 1.6 vs. 3.0, p < 0.0001).

conclusionThese results suggest that transmission patterns for cholera are a combination of person-to-person and water-to-person cholera transmission with the proportions of the two modes varying within and between outbreaks.

Indexed as

Disease OutbreaksBangladeshCholeraGenome, BacterialGenotypeHumansSequence Analysis, DNATandem Repeat SequencesVibrio choleraeWater MicrobiologyBangladeshGeneticsHousehold transmissionMultilocus variable-number tandem-repeat analysisOutbreak surveillanceVibrio choleraeWhole genome sequencing

Identifiers

PMID29178823
PMCPMC5702050

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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.