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Research Article

Assessing the relative accuracy of gridded population sampling: results from an election survey experiment

References

  • Bennett, S., Woods, T., Liyanage, W. M., & Smith, D. L. (1991). A simplified general method for cluster-sample surveys of health in developing countries. World Health Statistics Quarterly, 44(3), 98–106. https://pubmed.ncbi.nlm.nih.gov/1949887/
  • Boo, G., Darin, E., Thomson, D. R., & Tatem, A. J. (2020). A grid-based sample design framework for household surveys. Gates Open Research, 4, 13. https://doi.org/10.12688/gatesopenres.13107.1
  • Cajka, J., Amer, S., Ridenhour, J., & Allpress, J. (2018). Geo-sampling in developing nations. International Journal of Social Research Methodology, 21(6), 729–746. https://doi.org/10.1080/13645579.2018.1484989
  • Davern, M. (2008). Representative sample. In P. J. Lavrakas (Ed.), Encyclopedia of survey research methods (pp. 721–723). SAGE Publications, Inc.
  • Dooblo. (2019). SurveyToGo software. https://www.dooblo.net/products/
  • Dooley, C. (2019). GridEZ algorithm. https://github.com/cadooley/gridEZ
  • Eckman, S., & Koch, A. (2019). Interviewer involvement in sample selection shapes the relationship between response rates and data quality. Public Opinion Quarterly, 83(2), 313–337. https://doi.org/10.1093/poq/nfz012
  • Elkasabi, M., & Ren, R. (2020). Gridded population sampling and the Demographic and Health Surveys. DHS Working Papers No. 176. Rockville, Maryland, USA: ICF. https://www.dhsprogram.com/pubs/pdf/WP176/WP176.pdf
  • ESRI. (2019). ArcMap desktop (version 10.6). [ Computer software]. Environmental Systems Research Institute.
  • European Union, UN-Habitat, OECD, and World Bank. (2021). Applying the degree of urbanisation: A methodological manual to define cities, towns and rural areas for international comparisons. https://ec.europa.eu/eurostat/documents/3859598/12519999/KS-02-20-499-EN-N.pdf/0d412b58-046f-750b-0f48-7134f1a3a4c2?t=1615477801160
  • Flynn, A., Tremblay, P. F., Rehm, J., & Wells, S. (2013). A modified random walk door-to-door recruitment strategy for collecting social and biological data relating to mental health, substance use, addiction, and violence problems in a Canadian community. The International Journal of Alcohol and Drug Research, 2(2), 7. https://doi.org/10.7895/ijadr.v2i2.143
  • Frye, C., Wright, D. J., Nordstrand, E., Terborgh, C., & Foust, J. (2018). Using classified and unclassified land cover data to estimate the footprint of human settlement. Data Science Journal, 17. https://doi.org/10.5334/dsj-2018-020
  • Galway, L. P., Bell, N., Al Shatari, S. A., Hagopian, A., Burnham, G., Flaxman, A., Weiss, W. M., Rajaratnam, J., & Takaro, T. K. (2012). A two-stage cluster sampling method using gridded population data, a GIS, and Google EarthTM imagery in a population-based mortality survey in Iraq. International Journal of Health Geographics, 11(1), 1–9. https://doi.org/10.1186/1476-072X-11-12
  • Grais, R. F., Rose, A. M., & Guthmann, J. P. (2007). Don’t spin the pen: Two alternative methods for second-stage sampling in urban cluster surveys. Emerging Themes in Epidemiology, 4(1), 1–7. https://doi.org/10.1186/1742-7622-4-8
  • Hecht, R., Meinel, G., & Buchroithner, M. (2015). Automatic identification of building types based on topographic databases–a comparison of different data sources. International Journal of Cartography, 1(1), 18–31. https://doi.org/10.1080/23729333.2015.1055644
  • ICF International. (2015). Demographic and Health Survey Sampling and Household Listing Manual. MEASURE DHS.: ICF International. https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf
  • Kish, L. (1979). Samples and censuses. International Statistical Review, 47(2), 99–109. https://doi.org/10.2307/1402563
  • Kovalev, Y., Burnasov, A., Stepanov, A., & Ilyushkina, M. (2021) Alternative models of political participation of population in developed and developing countries: Cases of Switzerland, Germany, Brazil and Uruguay. In: R. Bolgov, V. Atnashev, Y. Gladkiy, A. Leete, A. Tsyb, & S. Pogodin (eds) Proceedings of topical issues in international political geography. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-58263-0_17
  • Lau, C. Q., Unangst, J., Eckman, S., Bhatt, P., Evans, J., McRoy, M., Starr, K., Thalji, L., Allpress, J., Jones, K., Cajka, J., & Bunker, J. D. (2021). A comparison of geosampling and random walk methods for household sample selection in Uttar Pradesh, India. International Journal of Public Opinion Research, 33(4), 1062–1073. https://doi.org/10.1093/ijpor/edab020
  • Leasure, D. R., Jochem, W. C., Weber, E. M., Seaman, V., & Tatem, A. J. (2020). National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty. Proceedings of the National Academy of Sciences, 117(39), 24173–24179. https://doi.org/10.1073/pnas.1913050117
  • Lemeshow, S., & Robinson, D. (1985). Surveys to measure programme coverage and impact: A review of the methodology used by the expanded programme on immunization. World Health Statistics Quarterly, 38(1), 65–75.
  • Leyk, S., Gaughan, A. E., Adamo, S. B., de Sherbinin, A., Balk, D., Freire, S., Rose, A., Stevens, F. R., Blankespoor, B., Frye, C., Comenetz, J., Sorichetta, A., MacManus, K., Pitolesi, L., Levy, M., Tatem, A. J., & Pesaresi, M. (2019). The spatial allocation of population: A review of large-scale gridded population data products and their fitness for use. Earth System Science Data, 11(3), 1385–1409. https://doi.org/10.5194/essd-11-1385-2019
  • Lloyd, C. T., Sorichetta, A., & Tatem, A. J. (2017). High resolution global gridded data for use in population studies. Scientific Data, 4(1), 1–17. https://doi.org/10.1038/sdata.2017.1
  • Lloyd, C. T., Sturrock, H. J., Leasure, D. R., Jochem, W. C., Lázár, A. N., & Tatem, A. J. (2020). Using GIS and machine learning to classify residential status of urban buildings in low and middle income settings. Remote Sensing, 12(23), 3847. https://doi.org/10.3390/rs12233847
  • Nichols, S., & Rheault, M. (2020). Gridded population sampling to reduce bias and improve sampling frames: Lessons learned from the Gallup world poll. Paper presented at the 2020 Annual Meetings of the American Association for Public Opinion Research, USA.
  • Pearson, A. L., Rzotkiewicz, A., & Zwickle, A. (2015). Using remote, spatial techniques to select a random household sample in a dispersed, semi-nomadic pastoral community: Utility for a longitudinal health and demographic surveillance system. International Journal of Health Geographics, 14(1), 1–10. https://doi.org/10.1186/s12942-015-0026-4
  • Pesaresi, M., Florczyk, A., Schiavina, M., Melchiorri, M., & Maffenini, L. (2019). GHS-SMOD R2019A - GHS settlement layers, updated and refined REGIO model 2014 in application to GHS-BUILT R2018A and GHS-POP R2019A, multitemporal (1975-1990-2000-2015) [data set]. European Commission, Joint Research Centre (JRC). https://doi.org/10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218
  • Pew Research Center. (n.d.). Survey mode and sample design. https://www.pewresearch.org/our-methods/international-surveys/survey-mode-and-sample-design/
  • Qader, S. H., Lefebvre, V., Tatem, A. J., Pape, U., Jochem, W., Himelein, K., Ninneman, A., Wolburg, P., Nunez-Chaim, G., Bengtsson, L., & Bird, T. (2020). Using gridded population and quadtree sampling units to support survey sample design in low-income settings. International Journal of Health Geographics, 19(1), 10. https://doi.org/10.1186/s12942-020-00205-5
  • Rose, A., McKee, J., Weber, E., & Bhaduri, B. L. (2017). Geoscience meets social science: A flexible data driven approach for developing high resolution population datasets at global scale. AGU fall meeting abstracts, 2017, IN51H–04.
  • Sinha, P., Gaughan, A. E., Stevens, F. R., Nieves, J. J., Sorichetta, A., & Tatem, A. J. (2019). Assessing the spatial sensitivity of a random forest model: Application in gridded population modeling. Computers, Environment and Urban Systems, 75, 132–145. https://doi.org/10.1016/j.compenvurbsys.2019.01.006
  • Sollom, R., Richards, A. K., Parmar, P., Mullany, L. C., Lian, S. B., Iacopino, V., Beyrer, C., & Ooms, G. (2011). Health and human rights in Chin State, Western Burma: A population-based assessment using multistaged household cluster sampling. PLoS Medicine, 8(2), e1001007. https://doi.org/10.1371/journal.pmed.1001007
  • Sorichetta, A., Hornby, G., Stevens, F., Gaughan, A., Linard, C., & Tatem, A. (2015). High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Scientific Data, 2(). https://doi.org/10.1038/sdata.2015.45
  • Stevens, F., Gaughan, A., Linard, C., Tatem, A., & Amaral, L. A. N. (2015). Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data. PloS One, 10(2), e0107042. https://doi.org/10.1371/journal.pone.0107042
  • Tatem, A. J. (2017). WorldPop, open data for spatial demography. Scientific Data, 4(1), 1–4. https://doi.org/10.1038/sdata.2017.4
  • Thomson, D. R., Rhoda, D. A., Tatem, A. J., & Castro, M. C. (2020). Gridded population survey sampling: A systematic scoping review of the field and strategic research agenda. International Journal of Health Geographics, 19(34). https://doi.org/10.1186/s12942-020-00230-4
  • Thomson, D. R., Bhattarai, R., Khanal, S., Manandhar, S., Dhungel, R., Gajurel, S., Hicks, J. P., Duc, D. M., Ferdoush, J., Ferdous, T., Urmy, N. J., Shawon, R. A., Long, K. Q., Poudel, A. N., Cartwright, C., Wallace, H., Ensor, T., Baral, S., Mashreky, S., … Elsey, H. (2021). Addressing unintentional exclusion of vulnerable and mobile households in traditional surveys in Kathmandu, Dhaka, and Hanoi: A mixed-methods feasibility study. Journal of Urban Health, 98(1), 111–129. https://doi.org/10.1007/s11524-020-00485-z
  • United Nations Children’s Fund (UNICEF). (2019). MICS Manual for Mapping and Household Listing. https://mics.unicef.org/tools
  • United Nations, Department of Economic and Social Affairs, Population Division. (2019). World urbanization prospects: The 2018 revision. https://population.un.org/wup/Publications/Files/WUP2018-Report.pdf
  • Wardrop, N. A., Jochem, W. C., Bird, T. J., Chamberlain, H. R., Clarke, D., Kerr, D., Bengtsson, L., Juran, S., Seaman, V., & Tatem, A. J. (2018). Spatially disaggregated population estimates in the absence of national population and housing census data. Proceedings of the National Academy of Sciences, 115(14), 3529–3537. https://doi.org/10.1073/pnas.1715305115
  • WorldPop. (2018). The spatial distribution of population in 2019. Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

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