Epidemiology

Novel indicators for evaluating topological threats to populations from pandemics applied to COVID-19

1. Shun Adachi

Reviewed by ScreenIT

Effect of temperature and precipitation on the daily new cases and daily new death in seven cities around the globe

1. Amar Prashad Chaudhary
2. Adna Nelson K
3. Harish S
4. Mydhily S
5. Chaitanya KJ
6. Lovely Nayak
7. Chiranjibi Sah

Reviewed by ScreenIT

Association of Simulated COVID-19 Policy Responses for Social Restrictions and Lockdowns With Health-Adjusted Life-Years and Costs in Victoria, Australia

1. Tony Blakely
2. Jason Thompson
3. Laxman Bablani
4. Patrick Andersen
5. Driss Ait Ouakrim
6. Natalie Carvalho
7. Patrick Abraham
8. Marie-Anne Boujaoude
9. Ameera Katar
10. Edifofon Akpan
11. Nick Wilson
12. Mark Stevenson

Reviewed by ScreenIT

Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications

1. Abdon Atangana
2. Seda İğret Araz

Reviewed by ScreenIT

Causal graph analysis of COVID-19 observational data in German districts reveals effects of determining factors on reported case numbers

1. Edgar Steiger
2. Tobias Mussgnug
3. Lars Eric Kroll

Reviewed by ScreenIT

Epidemiological dynamics of the incidence of COVID-19 in children and the relationship with the opening of schools in Catalonia (Spain)

1. Aida Perramon
2. Antoni Soriano-Arandes
3. David Pino
4. Uxue Lazcano
5. Cristina Andrés
6. Martí Català
7. Anna Gatell
8. Mireia Carulla
9. Dolors Canadell
10. Gemma Ricós
11. Ma Teresa Riera-Bosch
12. Silvia Burgaya
13. Olga Salvadó
14. Javier Cantero
15. Mònica Vilà
16. Miriam Poblet
17. Almudena Sánchez
18. Anna Ma Ristol
19. Pepe Serrano
20. Andrés Antón
21. Clara Prats
22. Pere Soler-Palacin

Reviewed by ScreenIT

Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset

1. Ariel Karlinsky
2. Dmitry Kobak

• Curated by eLife

  Evaluation Summary:

  This is an important and timely manuscript looking at excess mortality across 89 countries and territories over the course of the COVID-19 pandemic. This manuscript will be of interest to demographers and epidemiologists, and also more broadly to the public health community.

  (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, Reviewer #2 and Reviewer #3 agreed to share their names with the authors.)

Reviewed by eLife, ScreenIT

Do predictors of adherence to pandemic guidelines change over time? A panel study of 22,000 UK adults during the COVID-19 pandemic

1. Liam Wright
2. Daisy Fancourt

Reviewed by ScreenIT

Assessing the plausibility of supercritical transmission for an emerging or re-emerging pathogen

1. Seth Blumberg
2. Phoebe Lu
3. Thomas M Lietman
4. Travis C Porco

Reviewed by ScreenIT

COVID-19: The unreasonable effectiveness of simple models

1. Timoteo Carletti
2. Duccio Fanelli
3. Francesco Piazza

Reviewed by ScreenIT