Background: Cervical cancer (CC) is the cancer with the most incidents and the leading cause of cancer mortality among women in South Africa. CC screening is one of the most cost-effective control approaches for the disease burden. This study assessed the determinants and individual-level indicators of cervical cancer screening uptake among women of reproductive age in South Africa. Methods: We analyzed data from the 2016 South Africa Demographic Health Survey. Our analysis focused on 5903 women (15–49 years). We conducted Chi-square test for bivariate analysis, and multivariate binary logistics regression was used to analyze independent association between individual-level factors and women who have had Pap smear testing. Statistical significance was set at p < 0.05. Results: The mean age at cervical cancer screening uptake among women in South Africa was 40.8 years (SD 18.6, range 15–95 years). A majority of the women (39.3%) were aged 45 years and above and 54.6% of them resides in urban settlements. About 35.4% of women (n = 2098) have had a Pap smear test, with 66.5% of them who had a Pap smear test resides in Western Cape province. The proportion of women who had a Pap smear test was significantly higher among those with higher educational attainment (68.7%, p = 0.000), in the rich wealth index (50.1%, p = 0.000), and those with health insurance cover (60.3%, p = 0.000). Pap smear testing was found to be more prevalent among women aged 45⁺ years, were in the white population group, had higher education, were divorced, and had health insurance cover. The predominance of Pap smear test was 14% higher among women who are working in the professional/formal sector (AOR; 1.38, 95% CI; 1.14–1.69). The uptake of Pap smear test was also higher among women aged 35–44 years. Conclusions: The prevalence of cervical cancer uptake is substantially low among women aged 15–24 years in South Africa and shows a degree of between-provinces differences. Therefore, heath educational interventions aimed at increasing the uptake of cervical cancer screening services in South Africa are critically needed.

The acute respiratory infectious disease season, or colloquially the “flu season”, is defined as the annually recurring period characterized by the prevalence of an outbreak of acute respiratory infectious diseases. It has been widely agreed that this season spans the winter period globally, but the precise timing or intensity of the season onset in South Africa is not well defined. This limits the efficacy of the public health sector to vaccinate for influenza timeously and for health facilities to synchronize efficiently for an increase in cases. This study explores the statistical intensity thresholds in defining this season to determine the start and finish date of the acute respiratory infectious disease season in South Africa. Two sets of data were utilized: public-sector hospitalization data that included laboratory-tested RSV and influenza cases and private-sector medical insurance claims under ICD 10 codes J111, J118, J110, and J00. Using the intensity threshold methodology proposed by the US CDC in 2017, various thresholds were tested for alignment with the nineteen-week flu season as proposed by the South African NICD. This resulted in varying thresholds for each province. The respiratory disease season commences in May and ends in September. These findings were seen in hospitalization cases and medical insurance claim cases, particularly with influenza-positive cases in Baragwanath hospital for the year 2019. These statistically determined intensity thresholds and timing of the acute respiratory infectious disease season allow for improved surveillance and preparedness among the public and private healthcare.

Literature reviews have become increasingly prominent in scientific discourse; however, few have critically examined the geographic distribution of research, particularly in the field of biometeorology, where studies remain disproportionately concentrated in the Global North. Building on previous regional reviews and special issues, this paper critically examines geographic disparities in publication trends, authorship, and methodological approaches to aid in identifying challenges and opportunities for equitable and justified future research. Using a PRISMA-style framework, 591 empirical studies conducted across 147 Global South countries were identified from a total of 3,046 publications in the International Journal of Biometeorology (IJBM) between 2000 and 2024. The review reveals a steady increase in contributions from the Global South over time, but highlights persistent gaps in representation, especially in author affiliation and research leadership. Thematic and methodological analyses highlight the diversity and innovation present in Global South contexts, while also revealing structural barriers to equitable participation in the field. This work advocates for more inclusive research practices and enhanced institutional support to bridge the divide between the Global North and South, fostering a more representative and collaborative future for biometeorology.

In recent decades, escalating extreme climate events (ECEs) have raised significant concerns regarding their effects on public health in South Africa, particularly respiratory illness. This study examined the relationship between ECEs and respiratory health outcomes over a 12-year period (2008–2019). A total of 48 ECEs were analyzed, of which 28 occurred in regions reporting more than 100 medical insurance claims for respiratory diseases. These events included storms, heatwaves, cold waves, floods, and tornadoes. Using a two-week lag period, we assessed their short-term association with respiratory claims. The findings revealed both increases and decreases in claims following ECEs, yet seasonal epidemiological trends exerted a more consistent and pronounced influence on respiratory health than individual extreme events. Percentage variations for statistically significant events ranged from approximately + 16% to + 121%, while decreases ranged from − 5% to − 178%. Although certain events displayed notable impacts, no distinct clustering was observed across seasons or years. These results underscore the importance of strengthening seasonal preparedness measures alongside climate-sensitive surveillance systems. Integrated approaches that address both seasonal and extreme climate risks are vital to safeguard vulnerable populations amid increasing climate variability in South Africa.