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View article: Jamii ni Afya: Improving early child development through a digital CHV program in Zanzibar: evidence from a quasi-experimental study.
Jamii ni Afya: Improving early child development through a digital CHV program in Zanzibar: evidence from a quasi-experimental study. Open
Background Nearly half of children under age five fail to reach their developmental potential in low- and middle-income countries (LMICs). These experiences in early life impact a child’s health, development, and economic productivity thro…
View article: Monitoring the impact of the 2020-2021 COVID-19 mobility restrictions: Flowminder CDR analysis in seven low- and middle-income countries
Monitoring the impact of the 2020-2021 COVID-19 mobility restrictions: Flowminder CDR analysis in seven low- and middle-income countries Open
During the COVID-19 pandemic, many countries imposed mobility restrictions to reduce transmission and control the spread of the disease. Anonymised and aggregated mobile operator data, such as call detail records (CDRs), can provide near-r…
View article: A Fair Incentive Scheme for Community Health Workers
A Fair Incentive Scheme for Community Health Workers Open
Community health workers (CHWs) play a crucial role in the last mile delivery of essential health services to underserved populations in low-income countries. Many nongovernmental organizations (NGOs) provide training and support to enable…
View article: Predicting facility-based delivery in Zanzibar: The vulnerability of machine learning algorithms to adversarial attacks
Predicting facility-based delivery in Zanzibar: The vulnerability of machine learning algorithms to adversarial attacks Open
This paper investigates the vulnerability of an algorithm to predict facility-based delivery when facing adversarial attacks. By understanding the effect of adversarial attacks, programs can implement data monitoring strategies to assess f…
View article: Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar
Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar Open
Background Maternal and neonatal health outcomes in low- and middle-income countries (LMICs) have improved over the last two decades. However, many pregnant women still deliver at home, which increases the health risks for both the mother …
View article: Guiding principles to maintain public trust in the use of mobile operator data for policy purposes – CORRIGENDUM
Guiding principles to maintain public trust in the use of mobile operator data for policy purposes – CORRIGENDUM Open
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View article: Analysis of call detail records to inform the COVID-19 response in Ghana—opportunities and challenges
Analysis of call detail records to inform the COVID-19 response in Ghana—opportunities and challenges Open
Telecommunications data are being explored by many countries as a new source of data that can be incorporated into their national statistical systems. In particular, “mobile positioning data” are increasingly being used to study population…
View article: Guiding principles to maintain public trust in the use of mobile operator data for policy purposes
Guiding principles to maintain public trust in the use of mobile operator data for policy purposes Open
The COVID-19 pandemic has accelerated the use of mobile operator data to support public policy, although without a universal governance framework for its application. This article describes five principles to guide and assist statistical a…
View article: Detecting individual internal displacements following a sudden-onset disaster using time series analysis of call detail records
Detecting individual internal displacements following a sudden-onset disaster using time series analysis of call detail records Open
We present a method for analysing mobile phone call detail records to identify individuals whom we believe to be have been internally displaced as a result of a sudden-onset disaster. We model each anonymous individual's movements trajecto…
View article: Estimating the resilience to natural disasters by using call detail records to analyse the mobility of internally displaced persons
Estimating the resilience to natural disasters by using call detail records to analyse the mobility of internally displaced persons Open
We use mobile phone call detail records to estimate the resettlement times of a subset of individuals that have been previously identified to be internally displaced persons (IDPs) following a sudden-onset disaster. Four different mobility…
View article: Exploring the use of mobile phone data for national migration statistics
Exploring the use of mobile phone data for national migration statistics Open