Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications.

Global ground-level measurements of elements in ambient particulate matter (PM) can provide valuable information to understand the distribution of dust and trace elements, assess health impacts, and investigate emission sources. We use X-ray fluorescence spectroscopy to characterize the elemental composition of PM samples collected from 27 globally distributed sites in the Surface PARTiculate mAtter Network (SPARTAN) over 2019-2023. Consistent protocols are applied to collect all samples and analyze them at one central laboratory, which facilitates comparison across different sites. Multiple quality assurance measures are performed, including applying reference materials that resemble typical PM samples, acceptance testing, and routine quality control. Method detection limits and uncertainties are estimated. Concentrations of dust and trace element oxides (TEO) are determined from the elemental dataset. In addition to sites in arid regions, a moderately high mean dust concentration (6 µg/m3) in PM2.5 is also found in Dhaka (Bangladesh) along with a high average TEO level (6 µg/m3). High carcinogenic risk (>1 cancer case per 100000 adults) from airborne arsenic is observed in Dhaka (Bangladesh), Kanpur (India), and Hanoi (Vietnam). Industries of informal lead-acid battery and e-waste recycling as well as coal-fired brick kilns likely contribute to the elevated trace element concentrations found in Dhaka.

The South African Pollen Monitoring Network: Insights from 2 years of national aerospora sampling (2019-2021).

BACKGROUND: Pollen monitoring has been discontinuously undertaken in South Africa, a country with high biodiversity, a seasonal rainfall gradient, and nine biomes from arid to subtropical. The South African Pollen Monitoring Network was set up in 2019 to conduct the first long-term national aerospora monitoring across multiple biomes, providing weekly reports to allergy sufferers and healthcare providers. METHODS: Daily airborne pollen concentrations were measured from August 2019 to August 2021 in seven cities across South Africa. Updated pollen calendars were created for the major pollen types (>3%), the average Annual Pollen Index over 12 months was calculated, and the results were compared to available historical data. RESULTS: The main pollen types were from exotic vegetation. The most abundant taxa were Poaceae, Cupressaceae, Moraceae and Buddleja. The pollen season start, peak and end varied widely according to the biome and suite of pollen taxa. The main tree season started in the last week of August, peaked in September and ended in early December. Grass seasons followed rainfall patterns: September-January and January-April for summer and winter rainfall areas, respectively. Major urban centres, for example, Johannesburg and Pretoria in the same biome with similar rainfall, showed substantive differences in pollen taxa and abundance. Some major differences in pollen spectra were detected compared with historical data. However, we are cognisant that we are describing only 2 years of data that may be skewed by short-term weather patterns. CONCLUSIONS: Differences in pollen spectra and concentrations were noted across biomes and between geographically close urban centres. Comparison with historical data suggests pollen spectra and seasons may be changing due to anthropogenic climate change and landscaping. These data stress the importance of regional and continuous pollen monitoring for informed care of pollinosis.

Climate change and health within the South African context: A thematic content analysis study of climate change and health expert interviews.

BACKGROUND:  Climate change presents an unprecedented and urgent threat to human health and survival. South Africa's health response will require a strong and effective intersectoral organisational effort. AIM:  Exploratory interview outcomes are used to advance practice and policy recommendations, as well as for broad input in the development of a draft national framework for a health risk and vulnerability assessment (RVA) for national departments. SETTING:  Nationally in South Africa. METHOD:  Twenty key expert interviews were conducted with South African experts in the field of climate change and health. Interview data was analysed by means of thematic content analysis. RESULTS:  Findings suggest that previously poor communities are most at risk to the impacts of climate change on health, as well as those with underlying medical conditions. Climate change may also serve as a catalyst for improving the healthcare system overall and should serve as the conduit to do so. A draft climate change and health RVA should take into account existing frameworks and should be implemented by local government. It is also critical that the health and health system impacts from climate change are well understood, especially in light of the plans to implement the (South African) National Health Insurance (NHI) scheme. CONCLUSION:  Practice and policy initiatives should be holistic in nature. Consideration should be given to forming a South African National Department of Climate Change, or a similar coordinating body between the various national departments in South Africa, as health intercepts with all other domains within the climate change field.

Environmental health outcomes and exposure risks among at-risk communities living in the Upper Olifants River Catchment, South Africa.

Potential exposure to water and air pollution and associated health impacts of three low-income communities in the Upper Olifants River Catchment, South Africa, was investigated through a cross-sectional epidemiological study comprising a household survey. Water samples were collected and analysed for microbial indicators and pathogens. Ambient air-monitoring included some of the criteria pollutants, as well as mercury and manganese. Associations between environmental exposure and health outcomes were analysed by means of logistic regression. Despite poor water and air quality episodes, the communities' self-perceived health was good with relatively low prevalence of reported health outcomes. Hygiene practices with respect to water collection and storage were often poor, and most likely contributed to the regularly contaminated water storage containers. Community proximity to the polluted stream was associated with increased prevalence in adverse health outcomes. This paper reports on preliminary results and additional multivariate analyses are necessary to further understand study results.

Self-Reported Hypertension in Embalenhle; Mpumalanga; South Africa: Findings from a Vulnerability to Air Pollution Assessment

The study determined the prevalence of self-reported hypertension and evaluated the relationship between self-reported hypertension and associated risk factors among adults who participated in the 2006 vulnerability to air pollution study in eMbalenhle; Mpumalanga; South Africa. Face-to-face interviews were conducted in September 2006 with the heads of 377 randomly selected households to obtain information on the household status of health and disease risk factors. eMbalenhle data were compared to the published provincial data on variables of interest. Logistic regression analysis was employed to determine associations between self-reported hypertension and individual risk factors. The prevalence of self-reported hypertension (7.0); arthritis (3.9); diabetes (3.8) and asthma (2.2) were comparable to provincial self-reported disease figures of 9.0; 3.5; 2.3 and 3.4; respectively. self reporting of hypertension increased significantly with age (OR: 1.07; 95 CI: 1.05-1.09; p 0.001); being female (OR: 3.35; 95 CI: 1.84-6.01; p 0.001); and having doctor-diagnosed arthritis (OR: 2.42; 95 CI: 1.12-5.23; p 0.01) and diabetes (OR: 6.00; 95 CI: 2.08-17.26; p 0.01). The study demonstrates that self-reported hypertension and other chronic diseases in eMbalenhle mirrored the general provincial chronic diseases' patterns despite the poor socio-economic status of this community relative to the province. Self-reported hypertension was strongly related to age; gender; and self-reported arthritis and diabetes