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Abstract.Typhoid fever is notifiable in South Africa but clinical notification is notoriously poor. South Africa has an estimated annual incidence rate of 0.1 cases per 100,000 population of culture-confirmed typhoid fever, decreased from 17 cases per 100,000 population in the 1980s. This work was undertaken to identify the reasons for this decrease and identify potential weaknesses that may result in an increase of observed cases. Culture-confirmed cases, with additional demographic and clinical data have been collected from selected sentinel sites since 2003. Data on contextual factors (gross domestic product [GDP], sanitation, female education, and childhood diarrhea mortality) were collected. National incidence rates of culture-confirmed typhoid fever have remained constant for the past 13 years, with the exception of an outbreak in 2005: incidence was 0.4 per 100,000 population. Paratyphoid fever remains a rare disease. Antimicrobial susceptibility data suggest resistance to ciprofloxacin and azithromycin is emerging. The South African population increased from 27.5 million in 1980 to 55.0 million in 2015: urbanization increased from 50% to 65%, GDP increased from United States Dollar (USD) $2,910 to USD $6,167, access to sanitation improved from 64.4% to 70.0% in the urban population and 26.4% to 60.5% in rural areas. Female literacy levels improved from 74.8% to 92.6% over the period. Improved socioeconomic circumstances in South Africa have been temporally associated with decreasing incidence rates of typhoid fever over a 35-year period. Ongoing challenges remain including potential for large outbreaks, a large immigrant population, and emerging antimicrobial resistance. Continued active surveillance is mandatory.

Salmonella enterica serotype Enteritidis ( Salmonella Enteritidis) is a major cause of foodborne disease outbreaks worldwide. In 2018, two concurrent outbreaks of Salmonella Enteritidis gastroenteritis in one district of South Africa were investigated. We describe the use of whole-genome sequencing (WGS) analysis of bacterial isolates to assist with the investigation of these outbreaks. Outbreak A affected children (n=27) attending a day-care centre, while outbreak B affected adults (n=16) who ate breakfast at the same restaurant. Salmonella Enteritidis was isolated from stool samples in both outbreaks (four children in outbreak A; 12 restaurant customers and three restaurant food-handlers in outbreak B). In outbreak B, Salmonella Enteritidis was isolated from three food retention samples (raw chicken egg, hollandaise sauce and rocket-herb). Available isolates from both outbreaks (n=13) were investigated using WGS analysis. Sequencing data for isolates were analysed at the EnteroBase web-based platform and included core-genome multi-locus sequence typing (cgMLST). Isolates with epidemiological links to the restaurant (n=10) and day-care centre (n=3), were shown by cgMLST to be highly genetically related, with no more than five allele differences when comparing one isolate against another. On food history, eggs and hollandaise sauce were the common food items consumed by ill restaurant customers. Unfortunately, Salmonella Enteritidis isolated from the egg and hollandaise sauce were not available for WGS analysis. Our investigation concluded that the two concurrent outbreaks were caused by a highly related strain of Salmonella Enteritidis, suggesting the possibility of a common contaminated food source, of which contaminated eggs are strongly implicated.

We describe the molecular epidemiology of cholera in South Africa during 2018-2020. Vibrio cholerae O1 sequence type (ST) 75 recently emerged and became more prevalent than the V. cholerae O1 biotype El Tor pandemic clone. ST75 isolates were found across large spatial and temporal distances, suggesting local ST75 spread.

The National Institute for Communicable Diseases in South Africa participates in national laboratory-based surveillance for human isolates of Salmonella species. Laboratory analysis includes whole-genome sequencing (WGS) of isolates. We report on WGS-based surveillance of Salmonella enterica serovar Typhi ( Salmonella Typhi) in South Africa from 2020 through 2021. We describe how WGS analysis identified clusters of enteric fever in the Western Cape Province of South Africa and describe the epidemiological investigations associated with these clusters. A total of 206 Salmonella Typhi isolates were received for analysis. Genomic DNA was isolated from bacteria and WGS was performed using Illumina NextSeq technology. WGS data were investigated using multiple bioinformatics tools, including those available at the Centre for Genomic Epidemiology, EnteroBase and Pathogenwatch. Core-genome multilocus sequence typing was used to investigate the phylogeny of isolates and identify clusters. Three major clusters of enteric fever were identified in the Western Cape Province; cluster one (n=11 isolates), cluster two (n=13 isolates), and cluster three (n=14 isolates). To date, no likely source has been identified for any of the clusters. All isolates associated with the clusters, showed the same genotype (4.3.1.1.EA1) and resistome (antimicrobial resistance genes: bla TEM-1B, catA1, sul1, sul2, dfrA7). The implementation of genomic surveillance of Salmonella Typhi in South Africa has enabled rapid detection of clusters indicative of possible outbreaks. Cluster identification allows for targeted epidemiological investigations and a timely, coordinated public health response.