Evidence map›Paper›PMID 36962896›Full record

ArticlePLOS global public health2023

Spatial distribution of suspected and confirmed cholera cases in Mwanza City, Northern Tanzania.

Monica T Madullu, Deborah S K Thomas, Elias C Nyanza, Jeremiah Seni, Sospatro E Ngallaba, Sophia Kiluvia, Moses Asori, Joseph Kangmennaang

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2023. 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
3.3field-weighted citation impact, top 9% of its field
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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Recent epidemiological and management approaches for cholera in India.Proceedings (Baylor University. Medical Center) · 2026
    Review
  4. Article
  5. Review
  6. 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 at 3 institutions in 3 countries.

Monica T MadulluDepartment of Environmental, Occupational and Research GIS, School of Public Health, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Deborah S K ThomasDepartment of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-9594-9790
Elias C NyanzaDepartment of Environmental, Occupational and Research GIS, School of Public Health, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.ORCID https://orcid.org/0000-0002-8358-7358
Jeremiah SeniDepartment of Microbiology and Immunology, Weill Bugando School of Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.ORCID https://orcid.org/0000-0003-2420-5329
Sospatro E NgallabaDepartment of Environmental, Occupational and Research GIS, School of Public Health, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.ORCID https://orcid.org/0000-0001-9680-4713
Sophia KiluviaEnvironmental Health Department, Mwanza City Council, Mwanza, Tanzania.
Moses AsoriDepartment of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-1438-4020
Joseph KangmennaangSchool of Kinesiology and Health Studies, Queens University, Kingston Ontario, Canada.
Catholic University of Health and Allied Sciences · TZUniversity of North Carolina at Charlotte · USQueen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholera, which is caused by Vibrio cholerae, persists as a devastating acute diarrheal disease. Despite availability of information on socio-cultural, agent and hosts risk factors, the disease continues to claim lives of people in Tanzania. The present study explores spatial patterns of cholera cases during a 2015-16 outbreak in Mwanza, Tanzania using a geographical information system (GIS) to identify concentrations of cholera cases. This cross-sectional study was conducted in Ilemela and Nyamagana Districts, Mwanza City. The two-phase data collection included: 1) retrospectively reviewing and capturing 852 suspected cholera cases from clinical files during the outbreak between August, 2015, and April, 2016, and 2) mapping of residence of suspected and confirmed cholera cases using global positioning systems (GPS). A majority of cholera patients were from Ilemela District (546, 64.1%), were males (506, 59.4%) and their median age was 27 (19-36) years. Of the 452 (55.1%) laboratory tests, 352 (77.9%) were confirmed to have Vibrio cholerae infection. Seven patients (0.80%) died. Cholera cases clustered in certain areas of Mwanza City. Sangabuye, Bugogwa and Igoma Wards had the largest number of confirmed cholera cases, while Luchelele Ward had no reported cholera cases. Concentrations may reflect health-seeking behavior as much as disease distribution. Topographical terrain, untreated water, physical and built environment, and health-seeking behaviors play a role in cholera epidemic in Mwanza City. The spatial analysis suggests patterns of health-seeking behavior more than patterns of disease. Maps similar to those generated in this study would be an important future resource for identifying an impending cholera outbreak in real-time to coordinate community members, community leaders and health personnel for guiding targeted education, outreach, and interventions.

Identifiers

PMID36962896
PMCPMC10022096
OpenAlexW4313639821

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read24
identifiers read8
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.