Wastewater-based epidemiology in hazard forecasting and early-warning systems for global health risks.

With the advent of the SARS-CoV-2 pandemic, Wastewater-Based Epidemiology (WBE) has been applied to track community infection in cities worldwide and has proven succesful as an early warning system for identification of hotspots and changingprevalence of infections (both symptomatic and asymptomatic) at a city or sub-city level. Wastewater is only one of environmental compartments that requires consideration. In this manuscript, we have critically evaluated the knowledge-base and preparedness for building early warning systems in a rapidly urbanising world, with particular attention to Africa, which experiences rapid population growth and urbanisation. We have proposed a Digital Urban Environment Fingerprinting Platform (DUEF) - a new approach in hazard forecasting and early-warning systems for global health risks and an extension to the existing concept of smart cities. The urban environment (especially wastewater) contains a complex mixture of substances including toxic chemicals, infectious biological agents and human excretion products. DUEF assumes that these specific endo- and exogenous residues, anonymously pooled by communities' wastewater, are indicative of community-wide exposure and the resulting effects. DUEF postulates that the measurement of the substances continuously and anonymously pooled by the receiving environment (sewage, surface water, soils and air), can provide near real-time dynamic information about the quantity and type of physical, biological or chemical stressors to which the surveyed systems are exposed, and can create a risk profile on the potential effects of these exposures. Successful development and utilisation of a DUEF globally requires a tiered approach including: Stage I: network building, capacity building, stakeholder engagement as well as a conceptual model, followed by Stage II: DUEF development, Stage III: implementation, and Stage IV: management and utilization. We have identified four key pillars required for the establishment of a DUEF framework: (1) Environmental fingerprints, (2) Socioeconomic fingerprints, (3) Statistics and modelling and (4) Information systems. This manuscript critically evaluates the current knowledge base within each pillar and provides recommendations for further developments with an aim of laying grounds for successful development of global DUEF platforms.

Decrease in cardiac catheterization and MI during COVID pandemic.

The consequences of severe acute viral respiratory syndrome (COVID 19) pandemic include collateral effects, one of which has been the significant reduction in routine hospital work. With widespread reports indicating reduction of cardiac procedures including MI presentation to hospitals, we aimed to analyze the local data over a 10-week period during lockdown in a tertiary cardiac centre Catheter Laboratory in England. METHODS: We conducted a retrospective review of the coronary catheterisation procedures and admissions with MI over the peak COVID-19 pandemic 10-week period (23rd March-30th May) in 2020, compared with the same 10-week period (25th March-2nd June) in 2019. RESULTS: In 2019, 539 patients were admitted to the Cath lab for coronary catheterisation (M = 385:F = 154; mean age 65 years; STEMI = 186, NSTEMI = 192, elective = 161). In 2020, during peak period of COVID19 pandemic in England, a total of 278 patients were admitted for coronary catheterisation over the 10-week period (M = 201:F = 77; mean age 60.5 years; STEMI = 132, NSTEMI = 118, elective = 28). During peak COVID19 pandemic, this represents a 48.4% drop in all coronary catheterisations. The reduction in STEMI was 29% (54 less), in NSTEMI was 38.9% (74 less) and elective procedures dropped by 83% (133 less). CONCLUSION: During peak COVID hospital admission period in England, we report a 48.5% reduction in coronary catheterisation in our tertiary hospital. These results are consistent with reports from other countries, and highlight the worrying potential consequences for these patients arising from delays in presentation with MI, and the challenges for restoring services post-pandemic.