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Interdisciplinary Journal of Rural and Community Studies
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://dx.doi.org/10.60692/40...
Other literature type . 2023
Data sources: Datacite
https://dx.doi.org/10.60692/mk...
Other literature type . 2023
Data sources: Datacite
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Counting the homeless in Papua New Guinea 2024 population and housing census

إحصاء المشردين في بابوا غينيا الجديدة 2024 تعداد السكان والمساكن
Authors: Olugbenga Adedayo Ige; Peter Adewale Amosun; Logo Lotu;

Counting the homeless in Papua New Guinea 2024 population and housing census

Abstract

The 2011 population census in Papua New Guinea (PNG) failed to generate reliable data due to logistical constraints and inadequate capacity. Addressing this, this conceptual communication analyses the benefits of using single contact census, capture-recapture method, and indirect estimation to enumerate the homeless population in the PNG 2024 Census. The study argues that, owing to the distinct geographical distribution of the homeless in urban locales, the single-contact census and the capture-recapture method emerge as the most suitable strategies for the 2024 enumeration. The exploration meticulously outlines the practical assumptions imperative for deploying these techniques, emphasizing their pivotal role in ensuring an accurate representation of the homeless demographic. This paper serves as a pivotal guide to adapting and refining enumeration methodologies to overcome challenges witnessed in the previous PNG census. The study concludes by explaining the practical assumptions for using the single-contact census and the capture-recapture method in the PNG 2024 census.

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Keywords

Statistics and Probability, Census, Epidemiology, FOS: Political science, Population, Social Sciences, FOS: Law, H, Sociology, Demographic analysis, Health Sciences, FOS: Mathematics, Psychology, Global Epidemiology of HIV and Drug Use, Regional science, Political science, Demography, Geography, Language and Literature, Politics, P, homelessness papua new guinea, national population and housing census, single-contact census, capture-recapture method., New guinea, FOS: Sociology, FOS: Psychology, Clinical Psychology, respondent-driven sampling, Physical Sciences, Medicine, Mental Health of Refugees and Immigrants, Representation (politics), Law, Estimation of Population Size Using Capture-Recapture Models, Mathematics, Ethnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold