Health Policy

Reporting the life tracks of confirmed cases can effective prevent and control the COVID-19 outbreak in China

1. Jie Zhang
2. Tianjing Wang
3. Jiaqi Wang
4. Jingjing Chen
5. Hongwei Yan
6. Lin Sun

Reviewed by ScreenIT

Evaluation of the Anticipated Burden of COVID-19 on Hospital-Based Healthcare Services Across the United States

1. Rohan Khera
2. Snigdha Jain
3. Zhenqiu Lin
4. Joseph S. Ross
5. Harlan M Krumholz

Reviewed by ScreenIT

Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19

1. Christopher Adolph
2. Kenya Amano
3. Bree Bang-Jensen
4. Nancy Fullman
5. John Wilkerson

Reviewed by ScreenIT

Estimation of SARS-CoV-2 Infection Prevalence in Santa Clara County

1. Steve Yadlowsky
2. Nigam Shah
3. Jacob Steinhardt

Reviewed by ScreenIT

The effects of containment measures in the Italian outbreak of COVID-19

1. M. Supino
2. A. d’Onofrio
3. F. Luongo
4. G. Occhipinti
5. A. Dal Co

Reviewed by ScreenIT

Demographic science aids in understanding the spread and fatality rates of COVID-19

1. Jennifer Beam Dowd
2. Liliana Andriano
3. David M. Brazel
4. Valentina Rotondi
5. Per Block
6. Xuejie Ding
7. Yan Liu
8. Melinda C. Mills

Reviewed by ScreenIT

Revealing the influence of national public health policies for the outbreak of the SARS-CoV-2 epidemic in Wuhan, China through status dynamic modeling

1. Tianyi Qiu
2. Han Xiao

Reviewed by ScreenIT

Projected long-term effects of colorectal cancer screening disruptions following the COVID-19 pandemic

1. Pedro Nascimento de Lima
2. Rosita van den Puttelaar
3. Anne I Hahn
4. Matthias Harlass
5. Nicholson Collier
6. Jonathan Ozik
7. Ann G Zauber
8. Iris Lansdorp-Vogelaar
9. Carolyn M Rutter

• Curated by eLife

  eLife assessment

  This important study uses two well-established colorectal cancer models to estimate the potential impact of disruptions in screening caused by the COVID-19 pandemic. By dividing the population into separate cohorts based on age and pre-pandemic screening status, the authors provide convincing evidence for the adverse impact of delays in screening, switching regimens, and screening discontinuation. The finding that discontinuation has a much greater impact on screening-associated gains in life expectancy than shorter-term delays or switching of regimens suggests that access-related barriers to screening resumption may lead to the worsening of current disparities.

Reviewed by eLife

A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions

1. Emily A Burger
2. Inge MCM de Kok
3. James F O'Mahony
4. Matejka Rebolj
5. Erik EL Jansen
6. Daniel D de Bondt
7. James Killen
8. Sharon J Hanley
9. Alejandra Castanon
10. Mary Caroline Regan
11. Jane J Kim
12. Karen Canfell
13. Megan A Smith

• Curated by eLife

  Evaluation Summary:

  This paper describes the use of three well-established mathematical models of cervical cancer to estimate the impact of COVID-19 related-delays in screening access on cervical cancer incidence and delays in diagnosis. Consistent with previous work and the known biology of cervical cancers, the findings that short delays have relatively small effects on population-level cervical cancer risk are reassuring overall, but the impact of screening interval and screening test performance suggest that existing disparities related to screening access may be exacerbated. These results should be useful for policy makers in planning responses to future pandemics or other sources of sudden restriction of screening availability.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 agreed to share their name with the authors.)

Reviewed by eLife

Governance is key to controlling SARS-CoV-2’s vaccine resistance

1. Kenichi W. Okamoto
2. Luis F. Chaves
3. Rodrick Wallace
4. Robert G. Wallace

Reviewed by ScreenIT