Epidemiology

Association of home and neighbourhood conditions with anxiety and depression symptoms during the COVID-19 lockdown: Findings from the ALSPAC study

1. Connor Pinkney
2. James B. Kirkbride
3. Andrew Boyd
4. Stanley Zammit
5. Joanne B. Newbury

Reviewed by Rapid Reviews Infectious Diseases

The impacts of viral interaction on household transmission of respiratory viruses

1. Jessica C. Ibiebele
2. Elie-Tino Godonou
3. Amy P. Callear
4. Matthew R. Smith
5. Rachel Truscon
6. Emileigh Johnson
7. Marisa C. Eisenberg
8. Adam S. Lauring
9. Arnold S. Monto
10. Sarah Cobey
11. Emily T. Martin

Reviewed by Rapid Reviews Infectious Diseases

Freeze-drying as a novel concentrating method for wastewater detection of SARS-CoV-2

1. Rui Dong
2. Elizabeth Noriega Landa
3. Hugues Ouellet
4. Wen-Yee Lee
5. Chuan Xiao

Reviewed by Rapid Reviews Infectious Diseases

Estimates of underlying health biases in SARS-CoV-2 vaccination recipients: a nationwide study in previously-infected adults

1. Uwe Riedmann
2. Alena Chalupka
3. Lukas Richter
4. Dirk Werber
5. Martin Sprenger
6. Peter Willeit
7. Marc Rijksen
8. Julia Lodron
9. Tracy Beth Høeg
10. John PA Ioannidis
11. Stefan Pilz

Reviewed by PREreview

The incubation periods of Monkeypox virus clade Ib

1. Javier Perez-Saez
2. Patrick Musole Bugeme
3. Megan O’Driscoll
4. Patrick Kazuba Bugale
5. Trust Faraja Mukika
6. Levi Bugwaja
7. Salomon Mashupe Shangula
8. Justin Bengehya
9. Stephanie Ngai
10. Antonio Isidro Carrion Martin
11. Jules Jackson
12. Noella Mulopo-Mukanya
13. Jackie Knee
14. Isabella Eckerle
15. Elizabeth C. Lee
16. Daniel Mukadi-Bamuleka
17. Justin Lessler
18. Andrew S Azman
19. Espoir Bwenge Malembaka

Reviewed by PREreview

Founder effects arising from gathering dynamics systematically bias emerging pathogen surveillance

1. Bradford P Taylor
2. William P Hanage

• Curated by eLife

  eLife Assessment

  This important theoretical study introduces an extension to the commonly used SIR model for infectious disease dynamics, to explicitly consider the role of larger group sizes. Instead of the commonly used individual-based network models, the authors developed a simplified approach based on group sampling, with discrete high- and low-risk groups, which makes the results easier to produce and interpret, at the cost of less detail in the model. The evidence is convincing in terms of the soundness of the theoretical projections and the impact that accounting for group sizes may have on inferences from surveillance data. However, it has not yet been demonstrated that the predictions provide more realistic projections when based on real-world data.

Reviewed by eLife

Variation of malaria dynamics and its relationship to climate in western Kenya during 2008-2019: a wavelet approach

1. Alexis Martin-Makowka
2. Bryan O Nyawanda
3. Anton Beloconi
4. Godfrey Bigogo
5. Sammy Khagayi
6. Stephen Munga
7. Patrick K Munywoki
8. Ina Danquah
9. Jürg Utzinger
10. Penelope Vounatsou

• Curated by eLife

  eLife Assessment

  The manuscript presents a useful analysis of the relationship between climate variables and malaria incidence, for local temperature and rainfall and the global climate driver of ENSO from 2008 to 2019 in a lowland region of East Africa, with wavelet analyses and linear regressions after time series decomposition. The paper is convincing albeit not novel in its application of wavelets to the analysis of this type of time series data for a vector-borne infection. It is less persuasive on what is learned about the role of climate variability (non-seasonal climate effects), and it is also unclear how the analysis informs climate change and malaria, and this motivation for the work is not warranted as it pertains to longer time scales than those considered. The work should be better placed in the context of what is known for malaria in East Africa and in different transmission settings.

Reviewed by eLife

Dynamics and ecology of a multi-stage expansion of Oropouche virus in Brazil

1. Houriiyah Tegally
2. Simon Dellicour
3. Jenicca Poongavanan
4. Carla Mavian
5. Graeme Dor
6. Vagner Fonseca
7. Massimiliano S. Tagliamonte
8. Marcel Dunaiski
9. Monika Moir
10. Eduan Wilkinson
11. Carlos Frederico Campelo de Albuquerque
12. Livia C. V. Frutuoso
13. CLIMADE Consortium
14. Edward C. Holmes
15. Cheryl Baxter
16. Richard Lessells
17. Moritz U.G. Kraemer
18. José Lourenço
19. Luiz Carlos Junior Alcantara
20. Tulio de Oliveira
21. Marta Giovanetti

Reviewed by Rapid Reviews Infectious Diseases

Understanding the implementation of antimicrobial resistance policies in Vietnam: a multilayer analysis of the veterinary drug value chain

1. Chloé Bâtie
2. Nguyen Van Duy
3. Nguyen Thi Minh Khue
4. Marisa Peyre
5. Marion Bordier
6. Nguyen Thi Dien
7. Vu Dinh Ton
8. Flavie Goutard

Reviewed by Peer Community in Animal Science

A Sex-specific Mendelian Randomization-Phenome-Wide Association Study of Body Mass Index

1. Zhu Liduzi Jiesisibieke
2. Io Ieong Chan
3. Jack Chun Man Ng
4. C Mary Schooling

• Curated by eLife

  eLife Assessment

  The study presents some useful findings on Mendelian randomization-phenome-wide association, with BMI associated with health outcomes, and there is a focus on sex differences. Although there are some solid phenotype and genotype data, some of the data are incomplete and could be better presented, perhaps benefiting from more rigorous approaches. Confirmation and further assessment of the observed sex differences will add further value.

Reviewed by eLife