The challenges of open data for future epidemic preparedness: The experience of the 2022 Ebolavirus outbreak in Uganda

Branda, Francesco; Mahal, Ahmed; Maruotti, Antonello; Pierini, Massimo; Mazzoli, Sandra

doi:10.3389/fphar.2023.1101894

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Given its high efficiency, this high-throughput workflow could be modeled to establish regional One Health testing hubs for infectious disease preparedness and emergency responses. Currently, there are several animal and human health pathogens circulating in animal hosts or in humans worldwide in addition to SARS-CoV-2 such as highly pathogenic avian influenza virus (HPAI), swine influenza virus (IAV-S), Ebola virus (EBOV), Nipah virus (NiPV), porcine epidemic diarrhea virus (PEDV), and African swine fever virus (ASFV), which could result in large epidemics or pandemics in which high-throughput testing will be needed [ 24 , 25 , 26 , 27 , 28 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

Laverack,

Tallmadge,

Venugopalan

et al. 2023

Viruses

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The unprecedented COVID-19 pandemic posed major challenges to local, regional, and global economies and health systems, and fast clinical diagnostic workflows were urgently needed to contain the spread of SARS-CoV-2. Here, we describe the platform and workflow established at the Cornell COVID-19 Testing Laboratory (CCTL) for the high-throughput testing of clinical samples from the university and the surrounding community. This workflow enabled efficient and rapid detection and the successful control of SARS-CoV-2 infection on campus and its surrounding communities. Our cost-effective and fully automated workflow enabled the testing of over 8000 pooled samples per day and provided results for over 2 million samples. The automation of time- and effort-intensive sample processing steps such as accessioning and pooling increased laboratory efficiency. Customized software applications were developed to track and store samples, deconvolute positive pools, track and report results, and for workflow integration from sample receipt to result reporting. Additionally, quality control dashboards and turnaround-time tracking applications were built to monitor assay and laboratory performance. As infectious disease outbreaks pose a constant threat to both human and animal health, the highly effective workflow implemented at CCTL could be modeled to establish regional high-capacity testing hubs for infectious disease preparedness and emergency response.

show abstract

Section: Discussionmentioning

confidence: 99%

The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

Laverack,

Tallmadge,

Venugopalan

et al. 2023

Viruses

View full text Add to dashboard Cite

show abstract

“…Given its high efficiency, this high throughput workflow could be modeled to establish regional One Health testing hubs for infectious disease preparedness and emergency response. Currently, there are several animal and human health pathogens circulating in animal hosts or in humans worldwide in addition to SARS-CoV-2 such as highly pathogenic avian influenza virus (HPAI), swine influenza virus (IAV-S), Ebola virus (EBOV), Nipah virus (NiPV), and African Swine Fever virus (ASFV), which could result in large epidemics or pandemics in which high-throughput testing will be needed [23][24][25][26][27][28][29].…”

Section: Discussionmentioning

confidence: 99%

The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

Laverack,

Tallmadge,

Venugopalan

et al. 2023

Preprint

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The unprecedented COVID-19 pandemic posed major challenges to local, regional, and global economies and health systems, and fast clinical diagnostic workflows were urgently needed to contain the spread of SARS-CoV-2. Here, we describe the platform and workflow established at the Cornell COVID-19 Testing Laboratory (CCTL) for high-throughput testing of clinical samples from the university and the surrounding community. This workflow enabled efficient and rapid detection, and successful control of SARS-CoV-2 infection on campus and its surrounding communities. Our cost-effective and fully automated workflow enabled testing of over 8,000 pooled samples per day and provided results for over 2 million samples. Automation of time- and effort-intensive sample processing steps such as accessioning and pooling increased laboratory efficiency. Customized software applications were developed to track and store samples, deconvolute positive pools, track and report results and for workflow integration from sample receipt to result reporting. Additionally, quality control dashboards and turn-around time tracking applications were built to monitor assay and laboratory performance. As infectious disease outbreaks pose a constant threat to both human and animal health, the highly effective workflow implemented at CCTL could be modeled to establish regional high-capacity testing hubs for infectious disease preparedness and emergency response.

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“…Ebola virus disease (EVD) is a severe haemorrhagic disease caused by the Ebola Virus, a member of the loviridae family with 6 species but only four including Zaire ebolavirus (EBOV), Sudan ebolavirus (SUDV), Tai Forest ebolavirus (TAFV), Bundibugyo ebolavirus (BDBV) are zoonotic (Birungi et al, 2021;Branda et al, 2023). A single spillover event into the human population was responsible for the initial DRC outbreak (Jacob et al, 2020;Nsio et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Ebola Virus Disease: Knowledge, Attitude and Perception - The Case of Uganda

KIBUUKA,

Kagoya,

Nsubuga

et al. 2023

Preprint

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Introduction Ebola virus disease (EVD) is a severe hemorrhagic disease caused by the Ebola Virus. The EVD is highly infectious with a high fatality rate. Uganda has experienced multiple Ebola outbreaks. To address the need for renewed engagement between the government and community, this study aimed to assess knowledge, attitudes, and preventive practices towards EVD in different regions of Uganda. Objectives To determine the level of knowledge, attitude and prevention practices towards the Ebola Virus in the different regions of Uganda. Methods A descriptive community-based cross-sectional design was conducted. The study implored a quantitative approach. Participants were randomly assessed of their knowledge, attitude and prevention of the EVD. Data was analyzed with Stata 15. Results The study enrolled 737 community members. The majority of the community members demonstrated good knowledge levels of EVD. Participants who obtained information from social media had higher knowledge levels across the respective study regions of the country; Mbale (OR = 9.8, CI: 2.2–43.5, p = 0.03) and Mbarara (OR = 8.6, CI: 4.0-18.45, P = 0.001) cities. However, in Lira city, the association between social media and knowledge levels was not statistically significant. The use of television as an information source significantly positively affected knowledge levels in Mbale city, Eastern region (OR = 4.0, CI: 1.6–10.1, P = 0.004). Health workers exhibited significantly higher knowledge compared to the others (OR = 8.9, CI: 1.1–69.6, P = 0.038) Knowing how to approach a suspected case, had a significant level in Mbale city, Eastern region (OR = 8.6, CI: 2.4–30.4, P = 0.001). Similarly, knowing how to use PPE was associated with higher levels in Lira city north Eastern region (OR = 2.0, CI: 1.1–3.3) P = 0.021. The majority both females (94.4%, 91.7% and males (88.9%, 90%) agreed to the isolation of the case and the family respectively avoid the risk of infection and death, which also led to a discriminatory attitude towards survivors and a distrust of EVD treatment. All participants 74.3% and 76.9% female and male perceived the Ebola treatment as very expensive. Conclusion Our results are in tandem with previous reports. we found that urban communities are more knowledgeable and have better attitudes towards pandemic outbreaks, though this varies from region to region. Public perceptions, community engagement and social media may be useful tools in mapping knowledge and awareness strategies for disease outbreaks.

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The challenges of open data for future epidemic preparedness: The experience of the 2022 Ebolavirus outbreak in Uganda

Cited by 7 publications

References 15 publications

The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

The Cornell COVID-19 Testing Laboratory: A Model to High-Capacity Testing Hubs for Infectious Disease Emergency Response and Preparedness

Ebola Virus Disease: Knowledge, Attitude and Perception - The Case of Uganda

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