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For the past two decades, the discussion regarding the effect of ICT on health systems is becoming apparent. However, past studies have mainly focused on ICT impact on specific social-economic phenomena. Little empirical research on ICT and…

Computers and Society · Computer Science 2016-05-24 Felix Olu Bankole , Lucas Mimbi

Cluster randomized trials (CRTs) are popular in public health and in the social sciences to evaluate a new treatment or policy where the new policy is randomly allocated to clusters of units rather than individual units. CRTs often feature…

Methodology · Statistics 2019-08-16 Hyunseung Kang , Luke Keele

Introduction. It is well known that social contact patterns differ from country to country. This variation coincides with significant socioeconomic heterogeneity that complicates the design of effective non-pharmaceutical interventions.…

Dynamical Systems · Mathematics 2023-03-31 Evans Kiptoo Korir , Zsolt Vizi

Randomized controlled trials (RCTs) are considered the gold standard for estimating the average treatment effect (ATE) of interventions. One use of RCTs is to study the causes of global poverty -- a subject explicitly cited in the 2019…

Machine Learning · Computer Science 2023-05-26 Connor T. Jerzak , Fredrik Johansson , Adel Daoud

Prevalence of open defecation is associated with adverse health effects, detrimental not only for the individual but also the community. Therefore, neighborhood characteristics can influence collective progressive behavior such as improved…

General Economics · Economics 2023-12-27 Sania Ashraf , Cristina Bicchieri , Upasak Das , Tanu Gupta , Alex Shpenev

We study heterogeneity in the effect of a mindset intervention on student-level performance through an observational dataset from the National Study of Learning Mindsets (NSLM). Our analysis uses machine learning (ML) to address the…

Applications · Statistics 2018-11-16 Fredrik D. Johansson

Safe sanitation access is commonly believed to be ubiquitous in high-income countries; however, researchers and community advocates have exposed a glaring lack of access for many low-income communities and communities of color across the…

Machine learning is increasingly used to select which individuals receive limited-resource interventions in domains such as human services, education, development, and more. However, it is often not apparent what the right quantity is for…

Machine Learning · Computer Science 2025-03-20 Vibhhu Sharma , Bryan Wilder

Cluster-randomized trials (CRTs) are widely used to evaluate interventions delivered at the clinic, practice, or community level. Although standard analyses typically target average treatment effects, such summaries mask potentially…

Methodology · Statistics 2026-04-16 Changjun Li , Xi Fang , Michael O. Harhay , Andrew B. Forbes , F. Perry Wilson , Guangyu Tong , Fan Li

Heterogeneous treatment effects (HTEs) are commonly identified during randomized controlled trials (RCTs). Identifying subgroups of patients with similar treatment effects is of high interest in clinical research to advance precision…

Machine Learning · Computer Science 2022-12-06 Peniel N. Argaw , Elizabeth Healey , Isaac S. Kohane

Various poverty reduction strategies are being implemented in the pursuit of eliminating extreme poverty. One such strategy is increased access to microcredit in poor areas around the world. Microcredit, typically defined as the supply of…

General Economics · Economics 2020-11-23 Melvyn Weeks , Tobias Gabel Christiansen

Fighting against climate change is a global challenge shared by nations with heterogeneous economical resources and individuals with diverse propensity for cooperation. However, we lack a clear understanding of the role of key factors such…

A significant proportion of slum residents offer vital services that are relied upon by wealthier urban residents. However, the lack of access to clean drinking water and adequate sanitation facilities causes considerable health risks for…

General Economics · Economics 2023-10-06 Mohammad Nur Nobi

In randomized controlled trials (RCTs) of infectious disease interventions, it is well recognized that unmeasured individual heterogeneity at baseline can induce selection bias over time, thereby complicating the interpretation of the…

Methodology · Statistics 2026-04-24 Hiroyasu Ando , A. James O'Malley , Akihiro Nishi

Cluster or group randomized trials (CRTs) are increasingly used for both behavioral and system-level interventions, where entire clusters are randomly assigned to a study condition or intervention. Apart from the assigned cluster-level…

Methodology · Statistics 2024-11-19 Shubhadeep Chakraborty , Bo Wang , Ram Tiwari , Samiran Ghosh

Many social and environmental phenomena are associated with macroscopic changes in the built environment, captured by satellite imagery on a global scale and with daily temporal resolution. While widely used for prediction, these images and…

Methodology · Statistics 2024-07-25 Connor T. Jerzak , Ritwik Vashistha , Adel Daoud

Open defecation, which is linked to poor health outcomes and lower cognitive ability has been widespread in India. Improved sanitation practice generates local health externalities, which implies that the returns to private toilet usage…

General Economics · Economics 2026-04-06 Sania Ashraf , Cristina Bicchieri , Upasak Das , Alex Shpenev

Background: In settings where proof-of-principle trials have succeeded but the effectiveness of different forms of implementation remains uncertain, trials that not only generate information about intervention effects but also provide…

Quantitative Methods · Quantitative Biology 2017-05-16 Guy Harling , Rui Wang , Jukka-Pekka Onnela , Victor De Gruttola

Cluster randomized trials (CRTs) are a popular design to study the effect of interventions in infectious disease settings. However, standard analysis of CRTs primarily relies on strong parametric methods, usually mixed-effect models to…

Methodology · Statistics 2021-09-23 Chan Park , Hyunseung Kang

Understanding the impact of network clustering and small-world properties on epidemic spread can be crucial in developing effective strategies for managing and controlling infectious diseases. Particularly in this work, we study the impact…

Social and Information Networks · Computer Science 2023-10-20 Mohammadreza Doostmohammadian , Houman Zarrabi , Azam Doustmohammadian , Hamid R. Rabiee
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