Stakeholder Interviews to Inform Best Practice for Public Facing COVID-19 Wastewater Dashboards DOI Open Access
Daniel R. Morales, Tim Rhodes, Kathleen O’Reilly

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 26, 2024

Abstract Background WW-based epidemiology is the detection of pathogens from wastewater, typically sewage systems. Its use gained popularity during COVID-19 pandemic as a rapid and non-invasive way to assess infection prevalence in population. Public facing dashboards for SARS-CoV-2 were developed response discovery that RNA biomarkers being shed faeces before symptoms. However, there not standard template or guidance countries follow. The aim this research reflect on how currently available evolved identify suitable content rationale these experiences. Methods Results Interviews carried out with implementers users WW data across Europe North America. interviews addressed commonalities inconsistencies displaying epidemiological SARS-CoV-2, clinical parameters COVID-19, variants, transparency. thematic analysis identified dashboard elements can facilitate standardization, at least interoperability. These emphasise communication among developers under same organization, open access stakeholders, summarized time-intensive graphic through normalizing by Simultaneous surveillance recommended. More needed flow faecal indicators normalization data, representation variants. Discussion development between 2020-2023 provided ‘real-time’ iterative process representation, several recommendations have been identified. Communication has potential support early warning systems infectious diseases.

Language: Английский

Stakeholder Interviews to Inform Best Practice for Public Facing COVID-19 Wastewater Dashboards DOI Creative Commons

Daniela Morales,

Tim Rhodes, Kathleen O’Reilly

et al.

Gates Open Research, Journal Year: 2024, Volume and Issue: 8, P. 61 - 61

Published: July 3, 2024

Background Wastewater (WW) -based epidemiology is the detection of pathogens from wastewater, typically sewage systems. Its use gained popularity during COVID-19 pandemic as a rapid and non-invasive way to assess infection prevalence in population. Public facing dashboards for SARS-CoV-2 were developed response discovery that RNA biomarkers being shed faeces before symptoms. However, there not standard template or guidance countries follow. The aim this research reflect on how currently available evolved identify suitable content rationale these experiences. Methods Interviews carried out with implementers users WW data across Europe North America. interviews addressed commonalities inconsistencies displaying epidemiological SARS-CoV-2, clinical parameters COVID-19, variants, transparency. Results thematic analysis identified dashboard elements can facilitate standardization, at least interoperability. These emphasise communication among developers under same organization, open access stakeholders, summarized time-intensive graphic through normalizing by Simultaneous surveillance recommended. More needed flow faecal indicators normalization data, representation variants. Discussion development between 2020-2023 provided ‘real-time’ iterative process representation, several recommendations have been identified. Communication has potential support early warning systems infectious diseases.

Language: Английский

Citations

1

Stakeholder Interviews to Inform Best Practice for Public Facing COVID-19 Wastewater Dashboards DOI Open Access
Daniel R. Morales, Tim Rhodes, Kathleen O’Reilly

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 26, 2024

Abstract Background WW-based epidemiology is the detection of pathogens from wastewater, typically sewage systems. Its use gained popularity during COVID-19 pandemic as a rapid and non-invasive way to assess infection prevalence in population. Public facing dashboards for SARS-CoV-2 were developed response discovery that RNA biomarkers being shed faeces before symptoms. However, there not standard template or guidance countries follow. The aim this research reflect on how currently available evolved identify suitable content rationale these experiences. Methods Results Interviews carried out with implementers users WW data across Europe North America. interviews addressed commonalities inconsistencies displaying epidemiological SARS-CoV-2, clinical parameters COVID-19, variants, transparency. thematic analysis identified dashboard elements can facilitate standardization, at least interoperability. These emphasise communication among developers under same organization, open access stakeholders, summarized time-intensive graphic through normalizing by Simultaneous surveillance recommended. More needed flow faecal indicators normalization data, representation variants. Discussion development between 2020-2023 provided ‘real-time’ iterative process representation, several recommendations have been identified. Communication has potential support early warning systems infectious diseases.

Language: Английский

Citations

0