GCRF_NF98_Building an Early Warning System for community-wide infectious disease spread: SARS-CoV-2 tracking in Africa via environment fingerprinting

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:9 publications

Grant number: EP/V028499/1

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2022
  • Known Financial Commitments (USD)

    $422,561.04
  • Funder

    UK Research and Innovation (UKRI)
  • Principle Investigator

    Pending
  • Research Location

    United Kingdom, Europe
  • Lead Research Institution

    University of Bath
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    Gender

  • Study Subject

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Mitigating the rapid global spread of Covid-19 requires real-time data on community infection prevalence in order to guide targeted intervention measures on regional, national and global scales. Individual diagnostic testing is of paramount importance for short- and long-term management of the pandemic, but limits on capacity (both of kits and trained workers) mean that healthcare settings are prioritised over the community. Here we propose a novel supplemental low-resource approach for broad community-wide surveillance of SARS-CoV-2 infection prevalence. We aim for a real-time Covid-19 risk prediction platform for community-wide diagnostics via wastewater-based epidemiology (Figure 1). Disease markers present in domestic wastewater can reveal the health status of contributing population, and we propose that this includes the infection prevalence by SARS-CoV-2. Real-time spatiotemporal estimation of this novel coronavirus in urban water across several sites in South Africa (Cape Town) and Nigeria (Lagos) will provide a broad picture of community infection prevalence, even for asymptomatic cases, as well as the level of acquired immunity, thus identifying hotspots for priority testing, contact-tracing and quarantine and will provide more accurate projections of the spread of the virus and the infection fatality rate. As communities contribute directly to wastewater, we will be able to estimate true infection rate at the community level, including also asymptomatic and pre-symptomatic people. The virus loading levels will be used to establish status and time trends. This would enable rapid identification of hot spots for management via targeted intervention measures and potentially support important decisions regarding entry into and exit from 'lockdown' periods as well as focussed screening of selected communities.

Publicationslinked via Europe PMC

Last Updated:38 minutes ago

View all publications at Europe PMC

LoCKAmp: lab-on-PCB technology for <3 minute virus genetic detection.

Wastewater-based epidemiology for the assessment of population exposure to chemicals: The need for integration with human biomonitoring for global One Health actions.

Wastewater-based epidemiology for comprehensive community health diagnostics in a national surveillance study: Mining biochemical markers in wastewater.

Research needs for optimising wastewater-based epidemiology monitoring for public health protection.

Sewage surveillance of SARS-CoV-2 at student campus residences in the Western Cape, South Africa.

Challenges in realising the potential of wastewater-based epidemiology to quantitatively monitor and predict the spread of disease.

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

Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: Lessons learned from the United Kingdom national COVID-19 surveillance programmes.

Making Waves: Collaboration in the time of SARS-CoV-2 - rapid development of an international co-operation and wastewater surveillance database to support public health decision-making.