[HTML][HTML] Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis

D Buitrago-Garcia, D Egli-Gany, MJ Counotte… - PLoS …, 2020 - journals.plos.org
Background There is disagreement about the level of asymptomatic severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) infection. We conducted a living systematic review …

[HTML][HTML] Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: update of a living systematic review and meta-analysis

D Buitrago-Garcia, AM Ipekci, L Heron, H Imeri… - PLoS …, 2022 - journals.plos.org
Background Debate about the level of asymptomatic Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2) infection continues. The amount of evidence is increasing and …

Global urban sprawl containment strategies and their implications for rapidly urbanising cities in Ghana

O Amponsah, DK Blija, RA Ayambire, SA Takyi… - Land Use Policy, 2022 - Elsevier
Abstract Cities in Sub-Saharan Africa (SSA) have so far failed to sustainably address urban
sprawl and its ramifications. Meanwhile, the projected increase in the urban population in …

[HTML][HTML] Data extraction methods for systematic review (semi) automation: Update of a living systematic review

L Schmidt, ANF Mutlu, R Elmore, BK Olorisade… - …, 2021 - ncbi.nlm.nih.gov
Background: The reliable and usable (semi) automation of data extraction can support the
field of systematic review by reducing the workload required to gather information about the …

Barriers and facilitators to implementing practices for prevention of childhood obesity in primary care: A mixed methods systematic review

D Ray, F Sniehotta, E McColl, L Ells - Obesity Reviews, 2022 - Wiley Online Library
Primary care providers (PCPs) have an important role in prevention of excess weight gain in
pre‐school children. Guidelines exist to support PCPs' practices. This systematic review of …

A systematic literature review on machine learning and deep learning methods for semantic segmentation

A Sohail, NA Nawaz, AA Shah, S Rasheed… - IEEE …, 2022 - ieeexplore.ieee.org
Machine learning and deep learning algorithms are widely used in computer science
domains. These algorithms are mostly used for classification and regression problems in …

Methodological challenges for living systematic reviews conducted during the COVID-19 pandemic: a concept paper

C Iannizzi, E Dorando, J Burns, S Weibel… - Journal of clinical …, 2022 - Elsevier
Background A living systematic review (LSR) is an emerging review type that makes use of
continual updating. In the COVID-19 pandemic, we were confronted with a shifting …

How to update a living systematic review and keep it alive during a pandemic: a practical guide

L Heron, D Buitrago-Garcia, AM Ipekci, R Baumann… - Systematic …, 2023 - Springer
Background The covid-19 pandemic has highlighted the role of living systematic reviews.
The speed of evidence generated during the covid-19 pandemic accentuated the …

Rethinking climate migration in sub-Saharan Africa from the perspective of tripartite drivers of climate change

B Ibrahim, H Mensah - SN Social Sciences, 2022 - Springer
There is limited attention on climate change (CC) and human migration among scholars and
policymakers. Meanwhile, natural disasters are projected to induce migration in the coming …

Methods for developing and reporting living evidence synthesis

J Bendersky, A Auladell-Rispau, G Urrútia… - Journal of clinical …, 2022 - Elsevier
Abstract Background and Objectives Identify currently methodological aspects proposed for
planning, conducting, and reporting living evidence (LE) synthesis. Develop a preliminary …