ArticleBMC public health2019
Epidemiology and antibiotic susceptibility of Vibrio cholerae associated with the 2017 outbreak in Kasese district, Uganda.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Seasonal variation, temporal trends, and factors associated with PCR-confirmed cholera in Goma city and surrounding health zones in Eastern Democratic Republic of the Congo, 2020-2024: a multilevel analysis.Tropical medicine and health · 2026Article
- Community experiences of the impacts of climate-induced extreme weather events in Uganda: A qualitative study.PLOS global public health · 2026Article
- Article
- Surveillance of Common Circulating Enteric Bacteria and Antimicrobial Susceptibility Patterns in Five Satellite Laboratories in Rwanda, 2014-2022.The American journal of tropical medicine and hygiene · 2025Article
- Implementing Wastewater-Based Epidemiology for Long-Read Metagenomic Sequencing of Antimicrobial Resistance in Kampala, Uganda.Microorganisms · 2025Article
- Risk factors for cholera mortality: A scoping review.Tropical medicine & international health : TM & IH · 2025Article
- Cholera Outbreaks in Low- and Middle-Income Countries in the Last Decade: A Systematic Review and Meta-Analysis.Microorganisms · 2024Review
- Resistance ofFrontiers in pharmacology · 2023Review
- Antimicrobial Resistance Rates and Surveillance in Sub-Saharan Africa: Where Are We Now?Infection and drug resistance · 2022Review
- Antimicrobial Resistance in Endemic Enteric Infections in Kenya and the Region, and Efforts Toward Addressing the Challenges.The Journal of infectious diseases · 2021Article
- Antibiotic use among children under five years with diarrhea in rural communities of Gulu, northern Uganda: a cross-sectional study.BMC public health · 2021Article
- First Experimental Evidence for the Presence of Potentially ToxicAntibiotics (Basel, Switzerland) · 2021Article
- Geospatial analysis of cholera patterns in Nigeria: findings from a cross-sectional study.BMC infectious diseases · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUganda is among the 51 countries where cholera outbreaks are common with epidemics occurring predominantly along the western border with Democratic Republic of Congo (DRC), Kampala city slums, Busia district which is a border town with Western Kenya, Mbale district and the Karamoja Sub-region. This report summarizes findings from the epidemiologic investigation, which aimed at identifying the mode of transmission and antibiotic susceptibility patterns of the Vibrio cholerae isolated in Kasese district, Uganda.
methodsA descriptive cross-sectional study was carried out between 2017 and 2018 to describe the epidemiology of the cholera epidemic in Kasese district, Uganda. Rectal swabs were collected from 69 suspected case-persons and cultured on Thiosulphate-Citrate-Bile-Salts Sucrose (TCBS™; SEIKEN Japan) agar and incubated at 37 °C for 18-24 h. The isolates were serotyped with polyvalent 01 antiserum and monovalent serotype Inaba and Ogawa antisera (Denka Seiken, Tokyo, Japan) to determine which serotype was responsible for the outbreak. Antimicrobial susceptibility testing was performed using the Kirby-Bauer disk diffusion method on Mueller-Hinton agar. A list of discharged patients was obtained from the isolation units of Bwera hospital and Kagando hospital and the individuals were followed to the community where they live. Questionnaires were administered to a total of 75 participants who were either the cases or relatives to the case. GPS points of the homes of the cases and pictures of potential source infection were also taken and cases were mapped.
resultsA total of 222 cases were recorded in the Kasese District outbreak between the month of September 2017 and January 2018 with the case fatality rate (CFR) of 1.4%. Children below the age of 14 years contributed the biggest proportion of the cases (70%) and out of these, 33% were aged below 5 years. Culture isolated 69 V. cholerae 01 serotype Inaba from the total of 71 samples. Salmonella typhi was Isolated from the other two samples which were negative for V. cholerae. Antibiotic susceptibility using Kirby-Bauer disc diffusion method was done on isolates from 69 participants and showed 100% resistance to Ampicillin and over 50% were resistant to trimethoprim/Sulfamethoxazole whereas gentamicin showed 100% susceptibility. Environmental assessment revealed rampant cases of open defecation.
conclusionThough we did not culture water to confirm contamination with Vibrio cholerae, we hypothesize that the cholera epidemic in Kasese 2017 was sparked off by consumption of contaminated water following the heavy floods that washed away latrines into water sources in Bwera, Isango and Nakiyumbu sub-counties. V. cholerae was also highly resistant to the commonly used antibiotics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.