Social dynamics of short term variability in key measures of household and community wellbeing in Bangladesh

Md Ehsanul Haque Tamal, Andrew R. Bell, Mary E. Killilea, Patrick S. Ward

Research output: Contribution to journalArticlepeer-review


High-frequency social data collection may facilitate improved recall, more inclusive reporting, and improved capture of intra-period variability. Although there are examples of small studies collecting particular variables at high frequency in the social science literature, to date there have been no significant efforts to collect a wide range of variables with high frequency. We have implemented the first such effort with a smartphone-based data collection approach, systematically varying the frequency of survey task and recall period, allowing the analysis of the relative merit of high-frequency data collection for different key variables in household surveys. This study of 480 farmers from northwestern Bangladesh over approximately one year of continuous data on key measures of household and community wellbeing could be particularly useful for the design and evaluation of development interventions and policies. While the data discussed here provide a snapshot of what is possible, we also highlight their strength for providing opportunities for interdisciplinary research in the household agricultural production, practices, seasonal hunger, etc., in a low-income agrarian society.

Original languageEnglish (US)
Article number125
JournalScientific Data
Issue number1
StatePublished - Dec 1 2019

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences


Dive into the research topics of 'Social dynamics of short term variability in key measures of household and community wellbeing in Bangladesh'. Together they form a unique fingerprint.

Cite this