Nowcasting the spread of SARS-CoV-2

Article Microbiology

Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework

George Nicholson et al.

Summary: Global and national surveillance of SARS-CoV-2 epidemiology is based on targeted testing of symptomatic individuals, but these data are often biased. A causal framework described in the study provides debiased estimates by combining targeted test counts and randomized surveillance data.

NATURE MICROBIOLOGY (2022)

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Review Public, Environmental & Occupational Health

How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19

Emma K. Accorsi et al.

Summary: In response to the COVID-19 pandemic, public health scientists have produced a large body of literature, but observational studies may be biased due to confounding, selection bias, and measurement error. To accurately evaluate these studies and guide future research design, attention needs to be paid to and solutions proposed for potential biases.

EUROPEAN JOURNAL OF EPIDEMIOLOGY (2021)

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Article Biochemistry & Molecular Biology

Nowcasting epidemics of novel pathogens: lessons from COVID-19

Joseph T. Wu et al.

Summary: Epidemic nowcasting involves assessing the current state of an outbreak by understanding key characteristics, providing situational awareness, and informing control responses. Scientists must constantly update their aims and analytics to incorporate new questions, data, and findings in order to synthesize real-time evidence for policy decisions. Recent advances in computational and laboratory sciences are enhancing the scope, timeliness, reliability, and utility of epidemic nowcasting.

NATURE MEDICINE (2021)

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Review Genetics & Heredity

Testing at scale during the COVID-19 pandemic

Tim R. Mercer et al.

Summary: The assembly and publication of the SARS-CoV-2 genome in January 2020 allowed for immediate development of tests and led to the largest global testing programme in history. Despite efforts to control the spread, widespread community transmission of the virus has become entrenched in many countries, necessitating population-scale testing to identify and isolate infected individuals. Testing plays a crucial role in the response to the COVID-19 pandemic and is likely to continue to be vital in public health.

NATURE REVIEWS GENETICS (2021)

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Article Multidisciplinary Sciences

The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia

Martin Pavelka et al.

Summary: Slovakia conducted multiple rounds of population-wide rapid antigen testing for SARS-CoV-2 in late 2020, with observed prevalence decreasing by 58% within 1 week in counties subject to two rounds of mass testing. This decrease was not solely explained by infection control measures, but also required the isolation and quarantine of household members of those testing positive.

SCIENCE (2021)

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Review Biochemistry & Molecular Biology

Digital technologies in the public-health response to COVID-19

Jobie Budd et al.

NATURE MEDICINE (2020)

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Article Multidisciplinary Sciences

Causal inference and the data-fusion problem

Elias Bareinboim et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)

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Nowcasting the spread of SARS-CoV-2

相关参考文献

Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework

How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19

Nowcasting epidemics of novel pathogens: lessons from COVID-19

Testing at scale during the COVID-19 pandemic

The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia

Digital technologies in the public-health response to COVID-19

Causal inference and the data-fusion problem

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