WorldPop Project
{{Short description|Research programme}}
{{Paid contributions|date=March 2022}}
{{Infobox organization
|name = WorldPop
|image = WorldPop logo.png
|size = 200px
|caption = Logo of the WorldPop Project
|msize = (map size, optional, default 200px)
|mcaption = (optional)
|abbreviation = WorldPop
|formation = 2013-10-01
|type = Research project
|purpose = Producing detailed and freely-available population distribution maps for low- and middle-income countries.
|headquarters = University of Southampton Southampton, Hampshire
|location = United Kingdom
|region_served = Global
|language = English
|leader_title = Coordinator
|leader_name = [https://www.southampton.ac.uk/geography/about/staff/ajt1m11.page Professor Andrew J Tatem]
|affiliations = School of Geography and Environmental Science, University of Southampton
|website = http://www.worldpop.org/
}}
WorldPop is a research programme based in the School of Geography and Environmental Science, University of Southampton.{{cite web |url= https://www.southampton.ac.uk/research/institutes-centres/southampton-geospatial|title= Southampton Geospatial|author= |date= |website= Southampton Geospatial|publisher= University of Southampton|access-date= 2022-11-04|quote=}} The programme employs a multidisciplinary team of researchers, analysts, GIS technicians, and project specialists who construct open data on populations and population attributes at high spatial resolution. Created from a combination of The AfriPop Project, AmeriPop, and AsiaPop projects in 2013, WorldPop engages in geospatial demographic projects with governments and institutions in low- and middle-income countries (LMICs) as well as collaborations with partner organisations, such as the Bill & Melinda Gates Foundation, Gavi, the Vaccine Alliance, United Nations agencies, the UK Foreign, Commonwealth and Development Office,{{cite web |url= https://www.gov.uk/government/news/highlight-on-the-foreign-commonwealth-and-development-office|title= Highlight on the Foreign, Commonwealth and Development Office: How the Foreign, Commonwealth and Development Office is helping to put everyone on the map|author= Ian Coady |date= 2021-05-24|website= UK Government|access-date= 2022-11-04|quote=}} commercial data providers and other international development organisations. The programme provides training in population modelling to ministries of health and national statistical offices in LMICs and works with them to support health and demographic surveys{{Cite journal|last1=Tatem|first1=Andrew|date=2015-01-31|title=WorldPop, open data for spatial demography|url=https://doi.org/10.1038/sdata.2017.4|journal=Scientific Data|volume=4|issue=170004|pages=3|doi=10.1038/sdata.2017.4|pmid=28140397 |pmc=5283060 |access-date= 2022-02-14}} to achieve Sustainable Development Goals{{cite web |url= https://rss.org.uk/RSS/media/File-library/Events/Key%20events/Tatem-Beveridge-Jun16.pdf|title= The Beveridge Memorial Lecture, 2016 |author=Andrew J. Tatem |date=2016-07-01 |website= The Royal Statistical Society |publisher= |access-date= February 15, 2022 |quote=}}
Areas of interest
- Demography{{cite journal |last1= Tatem|first1= Andrew|date=2014-08-14 |title= Mapping the denominator: spatial demography in the measurement of progress|url= https://academic.oup.com/inthealth/article/6/3/153/2964850|journal= International Health|volume= 6|issue= 3|pages= 153–155|doi= 10.1093/inthealth/ihu057|pmid= 25125576|pmc= 4161992|access-date= 2022-12-09}}
- Geographic information system data{{cite journal |last1= Pindolia|first1= Deepa|last2= Garcia|first2= Andres|last3= Wesolowski|first3= Amy|last4= Smith|first4= David|last5= Buckee|first5= Caroline|last6= Noor|first6= Abdisalan|last7= Snow|first7= Robert|last8= Tatem|first8= Andrew|date=2012-06-18 |title= Human movement data for malaria control and elimination strategic planning|journal= Malaria Journal|volume= 11|issue= 205|page= 205|doi= 10.1186/1475-2875-11-205|pmid= 22703541|pmc= 3464668|doi-access= free}}
- Satellite imagery{{cite journal |last1= Tatem|first1= Andrew|date=2022-06-21 |title= Small area population denominators for improved disease surveillance and response|journal= Epidemics|volume= 40|issue= September 2022|page= 100597|doi= 10.1016/j.epidem.2022.100597|pmid= 35749928|pmc= 9212890}}
- Remote sensing{{cite journal |last1= Nilsen|first1= Kristine|last2= Tejedor-Garavito|first2= Natalia|last3= Leasure|first3= Douglas|last4= Utazi|first4= Edson|last5= Ruktanonchai|first5= Corrine|last6= Wigley|first6= Adelle|last7= Dooley|first7= Claire|last8= Matthews|first8= Zoë|last9= Tatem|first9= Andrew|date=2021-09-13 |title= A review of geospatial methods for population estimation and their use in constructing reproductive, maternal, newborn, child and adolescent health service indicators|journal= BMC Health Services Research|volume= 21|issue= 370|page= 370|doi= 10.1186/s12913-021-06370-y|pmid= 34511089|pmc= 8436450|doi-access= free}}
- Effects of Non-pharmaceutical intervention (epidemiology) on COVID-19{{cite journal |last1= Lai|first1= Shengjie|last2= Ruktanonchai|first2= Nick|last3= Zhou|first3= Liangcai|last4= Prosper|first4= Oliver|last5= Luo|first5= Wei|last6= Floyd|first6= Jessica|last7= Wesolowski|first7= Amy|last8= Santillana|first8= Mauricio|last9= Zhang|first9= Chi|last10= Du|first10= Xiangjun|last11= Yu|first11= Honggjie|last12= Tatem|first12= Andrew|date=2020-05-04 |title= Effect of non-pharmaceutical interventions to contain COVID-19 in China|journal= Nature|volume= 585|issue= 7825|pages= 410–413 (2020) |doi= 10.1038/s41586-020-2293-x|pmid= 32365354|pmc= 7116778|bibcode= 2020Natur.585..410L}}
- Geospatial predictive modeling{{cite journal |last1= Dotse-Gborgbortsi|first1= Winfred|last2= Nilsen|first2= Kristine|last3= Ofosu|first3= Anthony|last4= Matthews|first4= Zoë|last5= Tejedor-Garavito|first5= Natalia|last6= Wright|first6= Jim|last7= Tatem|first7= Andrew|date=2022-08-31 |title= Distance is "a big problem": a geographic analysis of reported and modelled proximity to maternal health services in Ghana|journal= BMC Pregnancy and Childbirth|volume= 22|issue= 672|page= 672|doi= 10.1186/s12884-022-04998-0|pmid= 36045351|pmc= 9429654|doi-access= free}}
Population estimation
WorldPop develops statistical population modelling methods to produce gridded population estimates that support census activities.{{cite web |url= https://www.unfpa.org/sites/default/files/resource-pdf/Technical-Guidance-Note_Vaue_of_Modeled_Pop_Estimates_in_Census_FINAL.pdf|title= The Value of Modelled Population Estimates for Census Planning and Preparation |author=United Nations Population Fund |date=2020 |website= United Nations Population Fund |publisher= |access-date= February 15, 2022 |quote=}}{{cite web |url= https://www.csmonitor.com/World/Africa/2021/1129/As-South-Sudan-builds-back-here-s-how-a-census-can-help|title= As South Sudan builds back, here's how a census can help |author=Ryan Lenora Brown |date=2021-11-29 |website= The Christian Science Monitor |publisher= |access-date= February 15, 2022 |quote=}} The programme develops new methods for data synthesis that use demographic and health surveys, census, satellite imagery,{{cite journal |vauthors=Tatem AJ, Noor AM, Hay SI | title = Defining approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery | journal = Remote Sensing of Environment | volume = 93 | pages = 42–52 | year = 2004 | issue = 1–2 | doi=10.1016/j.rse.2004.06.014| pmc=3350067 | pmid=22581984| bibcode = 2004RSEnv..93...42T }} cell phone{{cite journal |last1= Steele|first1= Jessica|last2= Pezzulo|first2= Carla|last3= Albert|first3= Maximillian|last4= Brooks|first4= Christopher|last5= zu Erbach-Schoenberg|first5= Elisabeth|last6= O'Connor|first6= Siobhán|last7= Sundsøy|first7= Pål|last8= Engø-Monsen|first8= Kenth|last9= Nilsen|first9= Kristine|last10=Graupe|first10= Bonita|last11= Nyachhyon|first11= Rajesh Lal|last12= Silpakar|first12= Pradeep|last13= Tatem|first13= Andrew|date=2021-11-22 |title= Mobility and phone call behavior explain patterns in poverty at high-resolution across multiple settings|journal= Humanities and Social Sciences Communications|volume= 8|issue= |pages= 288 |doi= 10.1057/s41599-021-00953-0|s2cid= 244506793|doi-access= free}} and other data to create consistent gridded outputs{{Cite journal|last1=Thompson|first1=Dana|last2= Rhoda|first2= Dale|last3= Tatem|first3= Andrew|last4= Castro|first4= Marcia|date=2020-09-09|title=Gridded population survey sampling: a systematic scoping review of the field and strategic research agenda|journal=International Journal of Health Geography|volume=19|issue=34|pages=16|doi=10.1186/s12942-020-00230-4|pmid=32907588 |pmc=7488014 |doi-access=free }} and map detailed population densities.{{cite journal | author = Linard C, Alegana, VA, Noor AM, Snow RW, Tatem AJ | title = A high resolution spatial population database of Somalia for disease risk mapping | journal = International Journal of Health Geographics | volume = 9 | pages = 45 | year = 2010 | doi=10.1186/1476-072x-9-45| pmc = 2949749 | pmid=20840751 | doi-access = free }}{{cite journal |vauthors=Tatem AJ, Noor AM, von Hagen C, Di Gregorio A, Hay SI | title = High resolution settlement and population maps for low income nations: combining land cover and national census in East Africa | doi=10.1371/journal.pone.0001298 | journal = PLOS ONE | volume = 2 | pages = e1298 | year = 2007 | issue = 12 | pmid = 18074022 | pmc = 2110897 | citeseerx = 10.1.1.280.5731 | doi-access = free }} {{open access}}
A case study evaluating several geospatial datasets against the 'gold-standard' census data for Bioko Island, Equatorial Guinea found that while the WorldPop Constrained dataset for the area matched best at lower population densities, WorldPop Unconstrained data performed poorly at all densities.{{cite journal |vauthors=Fries B, Guerra CA, García GA, Wu SL, Smith JM, Oyono JN, Donfack OT, Nfumu JO, Hay SI, Smith DL, Dolgert AJ | date=2021-11-22 |title= Measuring the accuracy of gridded human population density surfaces: A case study in Bioko Island, Equatorial Guinea |journal= PLOS ONE|volume= 19|issue= 9 |pages= e0248646 |doi= 10.1371/journal.pone.0248646| pmid=34469444 | pmc=8409626 | bibcode=2021PLoSO..1648646F | doi-access=free }}
=Population of Papua New Guinea=
Although the government of Papua New Guinea had estimated the country's population at 9.4 million, unpublished findings of a population estimation study funded by the United Nations Population Fund{{cite web |url= https://www.unfpa.org/census#readmore-expand|title= UNFPA: Census |author=United Nations Population Fund |date=2020 |website= United Nations Population Fund |publisher= |access-date= December 13, 2022 |quote=}} and conducted by WorldPop in November 2022 suggested the true population was close to 17 million.{{Cite news |last=Sydney |first=Bernard Lagan |title=Papua New Guinea finds real population is almost double official estimates |newspaper=The Times |language=en |url=https://www.thetimes.com/uk/politics/article/papua-new-guinea-finds-real-population-is-almost-double-official-estimates-n86g6sdpm |access-date=2022-12-06 |issn=0140-0460}}{{Cite news |last=Randall |first=Angus |title=Papua New Guinea population could hit 17 million |language=en |url=https://www.abc.net.au/radio/programs/worldtoday/papua-new-guinea-population-could-hit-17-million/101734306 |access-date=2022-12-06}} This estimate was reviewed and amended to less than 11 million and the methodology used to calculate this figure was published in July 2023.{{cite web |url= https://www.nso.gov.pg/statistics/population/|title= Population Estimates 2021 |author=National Statistical Office of Papua New Guinea |date=2023 |website= National Statistical Office of Papua New Guinea |publisher= |access-date= October 20, 2023 |quote=}}{{cite web |url= https://wopr.worldpop.org/?PNG/Population |title= Modelled Population Estimates for Papua New Guinea |author=WorldPop |date= July 27, 2023 |website= WorldPop Open Population Repository |publisher= |access-date= October 20, 2023 |quote=}}
WorldPop Database
Outputs from WorldPop research contribute to a spatial database of linked information on contemporary census data, satellite-imagery-derived settlement maps, and land cover information. The resultant API, datasets, methods, and maps are available under Creative Commons license on the project's websites. Through collaboration with Esri, gridded population datasets produced by WorldPop are also available in the ArcGIS Living Atlas of the World {{cite web |url= https://www.esri.com/about/newsroom/announcements/esri-and-worldpop-partner-to-bring-updated-demographic-data-to-policy-makers/|title= Esri and WorldPop Partner to Bring Updated Demographic Data to Policy Makers|author= |date= 2021-12-17|website= Esri|access-date= 2022-11-04|quote=}}{{cite web |url= https://www.arcgis.com/home/user.html?user=WorldPop_Project|title= WorldPop Project|author= |date= 2021-12-17|website= ArcGIS Online|publisher= Esri|access-date= 2022-11-04|quote=}}
See also
References
{{reflist}}
External links
- [http://www.worldpop.org WorldPop]—official website
- [https://wopr.worldpop.org/ WorldPop Open Population Repository]—access to gridded population estimates and related data.
- [https://apps.worldpop.org/ WorldPop Applications]—access to WorldPop's interactive web map, do-it-yourself gridded population estimate tool and demographics portal.
Category:Covariance and correlation