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Background. In South Africa (SA), malaria is endemic in three of nine provinces – KwaZulu-Natal, Mpumalanga and Limpopo. During 2010 - 2014, SA reported that ~47.6% of all malaria cases were imported. Contemporary estimates for the prevalence of malaria in the five districts of Limpopo Province are limited, with unknown proportions of imported malaria cases. We estimated the prevalence of malaria, and the proportion of imported malaria cases in the five districts of Limpopo, from January 2015 to December 2017. Objective. To measure the prevalence of malaria in Limpopo Province, the proportion of malaria cases that are imported and to determine factors associated with malaria from January 2015 to December 2017. Methods. We retrospectively reviewed data routinely collected through the Malaria Information System and Laboratory Information System of the National Health Laboratory Services, and assessed associations with age, sex and district, using a multivariable logistic regression model. Results. From 2015 to 2017, a total of 43 199 malaria cases were reported, of which 3.5% (n=1 532) were imported. The prevalence of malaria in Limpopo Province was the highest in 2017, at 331.0 per 100 000 population. The highest malaria prevalence district was Vhembe, with 647.9 in 2015, 220.3 in 2016 and 659.4 in 2017 per 100 000 population. However, Waterberg had the highest proportion of imported malaria cases 28.5% (437/1 532). In adjusted analyses, ages 15 - 49 years (adjusted odds ratio (aOR) 1.58, 95% confidence interval (CI) 1.48 - 1.68, p

Background: In South Africa (SA), malaria is endemic in three of nine provinces - KwaZulu-Natal, Mpumalanga and Limpopo. During 2010 - 2014, SA reported that ~47.6% of all malaria cases were imported. Contemporary estimates for the prevalence of malaria in the five districts of Limpopo Province are limited, with unknown proportions of imported malaria cases. We estimated the prevalence of malaria, and the proportion of imported malaria cases in the five districts of Limpopo, from January 2015 to December 2017., Objective: To measure the prevalence of malaria in Limpopo Province, the proportion of malaria cases that are imported and to determine factors associated with malaria from January 2015 to December 2017., Methods: We retrospectively reviewed data routinely collected through the Malaria Information System and Laboratory Information System of the National Health Laboratory Services, and assessed associations with age, sex and district, using a multivariable logistic regression model., Results: From 2015 to 2017, a total of 43 199 malaria cases were reported, of which 3.5% (n=1 532) were imported. The prevalence of malaria in Limpopo Province was the highest in 2017, at 331.0 per 100 000 population. The highest malaria prevalence district was Vhembe, with 647.9 in 2015, 220.3 in 2016 and 659.4 in 2017 per 100 000 population. However, Waterberg had the highest proportion of imported malaria cases 28.5% (437/1 532). In adjusted analyses, ages 15 - 49 years (adjusted odds ratio (aOR) 1.58, 95% confidence interval (CI) 1.48 - 1.68, p<0.001) and <1 year (aOR 1.55, 95% CI 1.37 - 0.74, p<0.001) were at higher odds of having malaria compared with ages ≥65 years., Conclusion: These findings highlight the significant burden of imported malaria in Limpopo Province. There is a need for strengthened surveillance and control programmes in neighboring countries (such as Mozambique, Zimbabwe and Botswana) to reduce the importation and spread of malaria in this region.

Introduction: Congenital syphilis (CS) is preventable through timely antenatal care (ANC), syphilis screening and treatment among pregnant women. Robust CS surveillance can identify gaps in this prevention cascade. We reviewed CS cases reported to the South African notifiable medical conditions surveillance system (NMCSS) from January 2020 to June 2022., Methods: CS cases are reported using a case notification form (CNF) containing limited infant demographic and clinical characteristics. During January 2020-June 2022, healthcare workers supplemented CNFs with a case investigation form (CIF) containing maternal and infant testing and treatment information. We describe CS cases with/without a matching CIF and gaps in the CS prevention cascade among those with clinical information., Findings: During January 2020-June 2022, 938 CS cases were reported to the NMCSS with a median age of 1 day (interquartile range: 0-5). Nine percent were diagnosed based on clinical signs and symptoms only. During January 2020-June 2022, 667 CIFs were reported with 51% (343) successfully matched to a CNF. Only 57% of mothers of infants with a matching CIF had an ANC booking visit (entry into ANC). Overall, 87% of mothers were tested for syphilis increasing to 98% among mothers with an ANC booking visit. Median time between first syphilis test and delivery was 16 days overall increasing to 82 days among mothers with an ANC booking visit., Discussion: Only 37% of CS cases had accompanying clinical information to support evaluation of the prevention cascade. Mothers with an ANC booking visit had increased syphilis screening and time before delivery to allow for adequate treatment., (© The Author(s) [2024]. Published by Oxford University Press.)

Background: Untreated or inadequately treated maternal syphilis infection may be transmitted from mother to child resulting in congenital syphilis (CS) infection. In South Africa (SA), CS is a notifiable medical condition (NMC). The NMC surveillance system (NMCSS) was improved by introducing an electronic notification application, a new case notification form and training resources in July 2017. We describe CS surveillance in SA and report on experiences from implementing an improved NMCSS from August 2017 to December 2019., Methods: We present the CS case definition, data collected by the CS case investigation and notification forms and data flow through the NMCSS. Descriptive statistics were used to analyse CS notifications received from August 2017 to December 2019. Qualitative inductive analysis of the stakeholder communications diary was conducted to identify CS surveillance challenges., Results: There were 418 CS notifications submitted from 80 facilities in 35 out of 52 districts. Of the notified cases, 194 (46.8%) were male and the median age at notification was 7 days (interquartile range: 3-16 days). The majority were diagnosed in hospital (98.6%). KwaZulu-Natal Province notified the most cases (52.9%) followed by Gauteng (28.0%). Challenges in CS surveillance included the lack of awareness of the CS case definition, completed paper-based notifications not reaching the NMCSS and the limited ability of the system to distinguish improved notifications from increase in disease burden., Conclusion: Improved CS surveillance through NMCSS was implemented in SA. Training, support and mentoring on CS and the notification system will be needed to inform elimination efforts., (© The Author(s) [2021]. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)