Evidence map›Paper›PMID 41986971›Full record

ArticleEmerging infectious diseases2026

Accelerated Increase in Candida auris Bloodstream Infections during COVID-19 Pandemic, South Africa.

Husna Ismail, Olga Perovic, Ruth Mpembe, Warren Lowman, Chetna Govind, Pieter Ekermans, Waasila Jassat, Richard Welch, Nelesh P Govender

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  2. Blood Stream Infections due toInternational journal of microbiology · 2026
    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

9 authors.

Husna Ismail
Olga Perovic
Ruth Mpembe
Warren Lowman
Chetna Govind
Pieter Ekermans
Waasila Jassat
Richard Welch
Nelesh P Govender

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic coincided with rising secondary bloodstream infections (BSIs) from multidrug-resistant organisms, including Candida auris. To assess candidemia trends, we conducted a retrospective analysis of blood culture isolates from public and private laboratories in South Africa taken during January 2019-June 2022. We evaluated weekly aggregated Candida BSI counts and COVID-19 cases using segmented regression within an interrupted time-series framework. In total, 15,393 candidemia cases were identified, 70% from the private sector. C. parapsilosis accounted for 39% of cases, whereas C. auris represented 26%. The proportion of C. auris increased significantly from 17% in 2019 to 31% in 2021 (p<0.01). After the pandemic onset, Candida BSIs rose by 11 cases per week (p = 0.03), largely driven by C. auris (+5 cases/week; p<0.01); peaks coincided with COVID-19 waves. Those results highlight an accelerated shift toward C. auris in Candida BSIs and the urgent need for enhanced surveillance, diagnostics, and infection prevention.

Indexed as

Candida aurisCandidemiaCandidiasisCOVID-19CandidaHumansPandemicsRetrospective StudiesSARS-CoV-2South AfricaCandida auriscoronavirus diseaseCOVID-19fungemiafungiinterrupted time seriesrespiratory infectionsSARS-CoV-2severe acute respiratory syndrome coronavirus 2South Africaviruseszoonoses

Identifiers

PMID41986971
PMCPMC13094847

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.