[HTML][HTML] High-frequency phone surveys on COVID-19: good practices, open questions

S Gourlay, T Kilic, A Martuscelli, P Wollburg, A Zezza - Food policy, 2021 - Elsevier
Following the onset of the COVID-19 pandemic, face-to-face survey data collection efforts
came to a halt due to lockdowns, limitations on mobility and social distancing requirements …

Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa

CB Aranda-Jan, N Mohutsiwa-Dibe, S Loukanova - BMC public health, 2014 - Springer
Background Access to mobile phone technology has rapidly expanded in developing
countries. In Africa, mHealth is a relatively new concept and questions arise regarding …

Fetchsgd: Communication-efficient federated learning with sketching

D Rothchild, A Panda, E Ullah, N Ivkin… - International …, 2020 - proceedings.mlr.press
Existing approaches to federated learning suffer from a communication bottleneck as well as
convergence issues due to sparse client participation. In this paper we introduce a novel …

Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone–based survey when cities and towns are under quarantine

ASRS Rao, JA Vazquez - Infection Control & Hospital Epidemiology, 2020 - cambridge.org
Identification of COVID-•19 can be quicker through artificial intelligence framework using a
mobile phone-based survey when ci Page 1 Commentary Identification of COVID-19 can be …

Factors influencing the adoption of mHealth services in a developing country: A patient-centric study

MZ Alam, MR Hoque, W Hu, Z Barua - International journal of information …, 2020 - Elsevier
Abstract mHealth under the umbrella of eHealth has become an essential tool for providing
quality, accessible and equal health care services at an affordable cost. Despite the …

Tools and methods in participatory modeling: Selecting the right tool for the job

A Voinov, K Jenni, S Gray, N Kolagani, PD Glynn… - … Modelling & Software, 2018 - Elsevier
Various tools and methods are used in participatory modelling, at different stages of the
process and for different purposes. The diversity of tools and methods can create challenges …

Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist

S Agarwal, AE LeFevre, J Lee, K L'engle, G Mehl… - bmj, 2016 - bmj.com
To improve the completeness of reporting of mobile health (mHealth) interventions, the WHO
mHealth Technical Evidence Review Group developed the mHealth evidence reporting and …

Scaling up mHealth: where is the evidence?

M Tomlinson, MJ Rotheram-Borus, L Swartz… - PLoS …, 2013 - journals.plos.org
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Evidence on feasibility and effective use of mH ealth strategies by frontline health workers in developing countries: systematic review

S Agarwal, HB Perry, LA Long… - Tropical medicine & …, 2015 - Wiley Online Library
Objectives Given the large‐scale adoption and deployment of mobile phones by health
services and frontline health workers (FHW), we aimed to review and synthesise the …

Assessing the impact of mHealth interventions in low-and middle-income countries–what has been shown to work?

CS Hall, E Fottrell, S Wilkinson, P Byass - Global health action, 2014 - Taylor & Francis
Background Low-cost mobile devices, such as mobile phones, tablets, and personal digital
assistants, which can access voice and data services, have revolutionised access to …