ArticlePloS one2016
Real-Time Social Data Collection in Rural Bangladesh via a 'Microtasks for Micropayments' Platform on Android Smartphones.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Realities of using self-administered smartphone surveys to solve sustainability challenges.Humanities & social sciences communications · 2025Article
- Methods for improving participation rates in national self-administered web/mail surveys: Evidence from the United States.PloS one · 2023Article
- Data Desa Presisi: A new method of rural data collection.MethodsX · 2022Article
- Best practices for collecting repeated measures data using text messages.BMC medical research methodology · 2020Review
- Why predict climate hazards if we need to understand impacts? Putting humans back into the drought equation.Climatic change · 2020Article
- Usability and Feasibility of a Smartphone App to Assess Human Behavioral Factors Associated with Tick Exposure (The Tick App): Quantitative and Qualitative Study.JMIR mHealth and uHealth · 2019Article
- Social dynamics of short term variability in key measures of household and community wellbeing in Bangladesh.Scientific data · 2019Article
- Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya.BMC research notes · 2019Article
- Assessing recall bias and measurement error in high-frequency social data collection for human-environment research.Population and environment · 2019Article
- eFarm: A Tool for Better Observing Agricultural Land Systems.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a 'microtasks for micropayments' model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.