Reviews of "Estimating the Potential Impact of Surveillance Test-and-Treat Posts to Reduce Malaria in Border Regions in Sub-Saharan Africa: A Modelling Study"

Reviewers: L Zhu (Stanford) | 📗📗📗📗◻️ • D Guararie (Case Western Reserve University) | 📘📘📘📘📘
by Lin Zhu and David Guararie

Summary of Reviews: The preprint received positive reviews for using individual-based modeling to estimate the effectiveness of border posts in reducing malaria transmission. Reviewers highlighted the study's significant contribution to understanding the role of human mobility in malaria control and its detailed simulations across 401 sub-national units. However, they pointed out concerns regarding the accuracy of quantitative estimates due to data limitations and subjectivity in model parameters, and they called for further clarification on specific technical aspects of the model. Despite these limitations, the study is valuable for guiding malaria control strategies in border regions.

Reviewer 1 (Lin Z…) | 📗📗📗📗◻️

Reviewer 2 (David G…) | 📘📘📘📘📘

RR:C19 Strength of Evidence Scale Key

📕 ◻️◻️◻️◻️ = Misleading

📙📙 ◻️◻️◻️ = Not Informative

📒📒📒 ◻️◻️ = Potentially Informative

📗📗📗📗◻️ = Reliable

📘📘📘📘📘 = Strong