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! Time period !! Development summary
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| 2006 || The {{w|Malaria Atlas Project }} ([[w:Malaria Atlas Project|MAP]]) is launched.
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| 2012 2009 || [[w:Malaria Atlas Project| MAP publishes the first global maps for '']] starts creating repositories on {{w|Plasmodium vivaxGitHub}}'' endemicity.
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| 2013 2012 || [[w:Malaria Atlas Project| MAP launches its Repository of Open Access Data (ROAD-MAP) resource]] publishes the first global maps for ''{{w|Plasmodium vivax}}'' endemicity.
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| 2017 2013 || [[w:Malaria Atlas Project| MAP releases new interactive malaria tools, making easier to download a wealth ]] launches its Repository of malariometric data and covariates from its websiteOpen Access Data (ROAD-MAP) resource.
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| 2017 || [[w:Malaria Atlas Project|MAP]] releases new interactive malaria tools, making easier to download a wealth of malariometric data and covariates from its website.|-| 2018 || [[w:Malaria Atlas Project| MAP ]] launches global map of travel time to cities to assess inequalities in accessibility. The {{w|World Health Organization}}'s 2018 World Malaria Report is published using maps produced by MAP.
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==Full timeline==
! Year !! Month and date !! Event type !! Details
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| 2005 || || Founding || [[w:Malaria Atlas Project| MAP ]] is founded by Bob Snow and {{w|Simon I. Hay}} with the purpose of filling the niche for the malaria control community at a global scale.<ref>{{cite web |title=The Malaria Atlas Project: Cartographic approaches to estimating populations at risk, burden and elimination feasibility |url=http://www.healthdata.org/events/seminar/malaria-atlas-project-cartographic-approaches-estimating-populations-risk-burden-and |website=healthdata.org |accessdate=5 March 2019}}</ref>MAP initially focuses on ''{{w|Plasmodium falciparum}}''.<ref>{{cite journal |last1=Gething |first1=Peter W. |last2=Elyazar |first2=Iqbal R. F. |last3=Moyes |first3=Catherine L. |last4=Smith |first4=David L. |last5=Battle |first5=Katherine E. |last6=Guerra |first6=Carlos A. |last7=Patil |first7=Anand P. |last8=Tatem |first8=Andrew J. |last9=Howes |first9=Rosalind E. |last10=Myers |first10=Monica F. |last11=George |first11=Dylan B. |last12=Horby |first12=Peter |last13=Wertheim |first13=Heiman F. L. |last14=Price |first14=Ric N. |last15=Müeller |first15=Ivo |last16=Baird |first16=J. Kevin |last17=Hay |first17=Simon I. |doi=10.1371/journal.pntd.0001814 |pmid=22970336 |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435256/ |pmc=3435256 |title=A Long Neglected World Malaria Map: Plasmodium vivax Endemicity in 2010}}</ref>
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| 2006 || May 1 || Release || The Malaria Atlas Project (MAP) is launched with the goal of collecting and verifying data for a new, detailed model of ''{{w|Plasmodium falciparum}}'' and ''{{w|Plasmodium vivax}}'' malarial infection incidence throughout the globe.<ref name="Parasites and pestilence">{{cite web |title=Parasites and pestilence |url=https://web.stanford.edu/class/humbio153/InteractiveMaps/Background.html |website=web.stanford.edu |accessdate=8 March 2019}}</ref> The MAP Web site (<code>map.ox.ac.uk</code>) launches to further the aims and ambitions of MAP.<ref name="The Malaria Atlas Project: Developing Global Maps of Malaria Risk">{{cite journal |last1=Hay |first1=Simon I |last2=Snow |first2=Robert W |title=The Malaria Atlas Project: Developing Global Maps of Malaria Risk |doi=10.1371/journal.pmed.0030473 |url=https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0030473}}</ref>
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| 2007 || May || Progress || As of date, [[w:Malaria Atlas Project|MAP ]] has 3670 parasite rate surveys from 79 countries.<ref name="Parasites and pestilence"/>
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| 2007 || || Research || Research by [[w:Malaria Atlas Project|MAP ]] reports about 451 million clinical cases of {{w|Plasmodium falciparum}} malaria worldwide.<ref>{{cite web |title=Malaria: double the suffering |url=http://www.ox.ac.uk/news/science-blog/malaria-double-suffering |website=ox.ac.uk |accessdate=18 March 2019}}</ref>
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| 2008 || || Staff || Peter Gething, Professor of Epidemiology at the The Big Data Institute, {{w|University of Oxford}}, joins MAP. As of 2019, Gething is Head of the Malaria Atlas Project.<ref>{{cite web |title=PROFESSOR PETER GETHING |url=https://map.ox.ac.uk/staff/petergething/ |website=map.ox.ac.uk |accessdate=5 March 2019}}</ref>
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| 2008 || || Research || [[w:Malaria Atlas Project| MAP ]] researchers construct a map that stratifies the world into three levels of malaria risk: no risk, unstable transmission risk (occasional focal outbreaks), and stable transmission risk (endemic areas where the disease is always present).<ref>{{cite journal |last1=Hay |first1=Simon I |last2=Guerra |first2=Carlos A |last3=Gething |first3=Peter W |last4=Patil |first4=Anand P |last5=Tatem |first5=Andrew J |last6=Noor |first6=Abdisalan M |last7=Kabaria |first7=Caroline W |last8=Manh |first8=Bui H |last9=Elyazar |first9=Iqbal R. F |last10=Brooker |first10=Simon |last11=Smith |first11=David L |last12=Moyeed |first12=Rana A |last13=Snow |first13=Robert W |title=A World Malaria Map: Plasmodium falciparum Endemicity in 2007 |doi=10.1371/journal.pmed.1000048 |url=https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1000048}}</ref>
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| 2009 || April 2 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates repository on {{w|HithubGitHub}} containing a simpler version of MAP's ''{{w|Plasmodium falciparum}}'' cartography code. The purpose to make code available to people willing to check or extend MAP work, and to synchronize it across multiple computers.<ref>{{cite web |title=covariate-testbed |url=https://github.com/malaria-atlas-project/covariate-testbed |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=covariate-testbed |url=https://github.com/malaria-atlas-project/covariate-testbed/commits/master?after=b8d1760b2793df0ee0855bc2135e185e881e5b59+34 |website=github.com |accessdate=31 May 2019}}</ref>
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| 2009 || April 7 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates repositories on {{w|HithubGitHub}} containing MAP's duffy negativity cartography code<ref>{{cite web |title=MAP's duffy negativity cartography code |url=https://github.com/malaria-atlas-project/duffy |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=duffy |url=https://github.com/malaria-atlas-project/duffy/commits/manuscript?after=74c05233c0a69b1e0dab4dee8dbe679606e2e9be+104 |website=github.com |accessdate=31 May 2019}}</ref> as well as combined Duffy negativity and ''{{w|Plasmodium Vivax}}'' endemicity mapping.<ref>{{cite web |title=Combined Duffy negativity and P. Vivax endemicity mapping |url=https://github.com/malaria-atlas-project/dufvax |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=dufvax |url=https://github.com/malaria-atlas-project/dufvax/commits/master?after=129deac0ed27b437cbe66c8d18f483bce848b328+209 |website=github.com |accessdate=31 May 2019}}</ref> On the same date, MAP's inherited blood disorder cartography code repository is created.<ref>{{cite web |title=MAP's inherited blood disorder cartography code |url=https://github.com/malaria-atlas-project/ibd-world |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=ibd-world |url=https://github.com/malaria-atlas-project/ibd-world/commits/master?after=cd10e81b5ab401067ad391fb1603b863ec90fee4+139 |website=github.com |accessdate=31 May 2019}}</ref>
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| 2009 || June 2 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates repository on {{w|HithubGitHub}} containing MAP's ''{{w|Anopheles}}'' vector cartography code.<ref>{{cite web |title=anopheles |url=https://github.com/malaria-atlas-project/anopheles |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=anopheles |url=https://github.com/malaria-atlas-project/anopheles/commits/master?after=c639773a0f63125842e4ca4ca0cdb3d47d365291+209 |website=github.com |accessdate=31 May 2019}}</ref>
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| 2009 || September 1 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates repository on {{w|GithubGitHub}} containing low-level geostatistical utilities that run on a {{w|GPU}}.<ref>{{cite web |title=Low-level geostatistical utilities that run on a GPU |url=https://github.com/malaria-atlas-project/geo-gpu |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=geo-gpu |url=https://github.com/malaria-atlas-project/geo-gpu/commits/master?after=95060951dca04a0bef327d14ae88e9a1671d5093+34 |website=github.com |accessdate=31 May 2019}}</ref>
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| 2009 || || Research || [[w:Malaria Atlas Project| MAP ]] assembles all available data from ''{{w|Plasmodium falciparum}}'' parasite rate (PfPR) surveys, and uses model-based geostatistics (MBG) to generate a global map of estimated PfPR for the year 2007.<ref>{{cite journal |last1=Burgert |first1=Clara R |last2=Bradley |first2=Sarah EK |last3=Arnold |first3=Fred |last4=Eckert |first4=Erin |title=Improving estimates of insecticide-treated mosquito net coverage from household surveys: using geographic coordinates to account for endemicity |journal=Malaria Journal |url=https://www.measureevaluation.org/resources/publications/ja-14-186/at_download/document}}</ref><ref>{{cite journal |last1=Gething |first1=Peter W |last2=Patil |first2=Anand P |last3=Smith |first3=David L |last4=Guerra |first4=Carlos A |last5=Elyazar |first5=Iqbal RF |last6=Johnston |first6=Geoffrey L |last7=Tatem |first7=Andrew J |last8=Hay |first8=Simon I |title=A new world malaria map: Plasmodium falciparum endemicity in 2010 |doi=10.1186/1475-2875-10-378 |pmid=22185615 |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274487/ |pmc=3274487}}</ref>
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| 2009 || || Research || [[w:Malaria Atlas Project| MAP ]] estimates 12 million cases of {{w|Plasmodium falciparum}} alone in the year.<ref>{{cite book |title=Oxford Textbook of Global Public Health |edition=Roger Detels, Martin Gulliford, Quarraisha Abdool Karim, Chorh Chuan Tan |url=https://books.google.com.ar/books?id=7H8yDwAAQBAJ&pg=PA1167&lpg=PA1167&dq=%22malaria+atlas+project%22+%22in+2010%22&source=bl&ots=Z5fmUcvdCA&sig=ACfU3U1qiTEBB9DDFyHXHAK4aRQ5654OuA&hl=en&sa=X&ved=2ahUKEwiB45rXr4zhAhUBvVkKHQzKBME4ChDoATABegQIBRAB#v=onepage&q=%22malaria%20atlas%20project%22%20%22in%202010%22&f=false}}</ref>
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| 2009 || December 2 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates repository on {{w|GithubGitHub}} containing a bayesian statistical model relating clinical malaria incidence to parasite rate.<ref>{{cite web |title=pr-incidence |url=https://github.com/malaria-atlas-project/pr-incidence |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=pr-incidence |url=https://github.com/malaria-atlas-project/pr-incidence/commits/master |website=github.com |accessdate=31 May 2019}}</ref>
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| 2010 || March 12 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates repository on {{w|GithubGitHub}} containing its population attribution uncertainty code.<ref>{{cite web |title=The Malaria Atlas Project's population attribution uncertainty code |url=https://github.com/malaria-atlas-project/pop |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=pop |url=https://github.com/malaria-atlas-project/pop/commits/master |website=github.com |accessdate=31 May 2019}}</ref>
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| 2010 || June 3 || Code repository || [[w:Malaria Atlas Project| MAP ]]creates repository on {{w|GithubGitHub}} containing MAP's ITN cartography code for {{w|Kenya}}.<ref>{{cite web |title=MAP's ITN cartography code for Kenya |url=https://github.com/malaria-atlas-project/itn-kenya |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=itn-kenya |url=https://github.com/malaria-atlas-project/itn-kenya/commits/master |website=github.com |accessdate=31 May 2019}}</ref>
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| 2011 || November || Collaboration || The Asia Pacific Malaria Elimination Network (APMEN) funds its first GIS training in {{w|Shanghai}}, {{w|China}}, in collaboration with the National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (NIPD, China CDC), the University of Queensland, and the Malaria Atlas Project/{{w|Oxford University}}.<ref>{{cite web |title=GEOGRAPHIC INFORMATION SYSTEMS |url=https://www.apmen.org/events/workshops-training/19/geographic-information-systems.html |website=apmen.org |accessdate=5 March 2019}}</ref>
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| 2012 || January || Research || Researchers from [[w:Malaria Atlas Project|MAP]], funded mainly by the {{w|Wellcome Trust}}, present the results of a two-year effort to assemble all available data worldwide on the risk of ''{{w|Plasmodium falciparum}}'' malaria, the most deadly form of the disease. Using computer modelling and data on climate and human populations, it is revealed the complex landscape of malaria across the globe.<ref>{{cite web |title=New malaria maps to guide battle against the disease |url=https://www.eurekalert.org/pub_releases/2012-01/wt-nmm012312.php |website=eurekalert.org |accessdate=1 June 2019}}</ref> |-| 2012 || October || Research || Research by [[w:Malaria Atlas Project|MAP ]] maps the geographical contemporary distribution of {{w|sickle haemoglobin}}, a genetic disorder causing sickle cell anemia. It also estimates the number of newborns affected by this condition.<ref>{{cite web |title=Sickle cell anemia: Maps and newborn estimates released |url=https://www.sciencedaily.com/releases/2012/10/121026110103.htm |website=sciencedaily.com |accessdate=5 March 2019}}</ref> A molecular mechanism was revealed whereby sickle cell hemoglobin confers a survival advantage against malaria.<ref>{{cite web |title=Mystery solved: How sickle hemoglobin protects against malaria |url=https://www.eurekalert.org/pub_releases/2011-04/igdc-msh042311.php |website=eurekalert.org |publisher=INSTITUTO GULBENKIAN DE CIENCIA |accessdate=8 May 2019}}</ref>
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| 2012 || || Release || [[w:Malaria Atlas Project| MAP ]] publishes the first global maps for ''{{w|Plasmodium vivax}}'' endemicity.<ref name=":0">{{cite journal |last1=Gething |first1=P.W. |last2=Elyazar |first2=I.R.F. |last3=Moyes |first3=C.M |last4=Smith |first4=D.L. |last5=Battle |first5=K.E. |last6=Guerra |first6=C.A. |last7=Patil |first7=A.P |last8=Tatem |first8=A.J. |last9=Howes |first9=R.E. |last10=Myers |first10=M.F. |last11=George |first11=D.B. |last12=Horby |first12=P. |last13=Wertheim |first13=H.F. |last14=Price |first14=R., Müller.I |last15=Baird |first15=J.K. |last16=HAY |first16=S.I |title=A long neglected world malaria map: Plasmodium vivax endemicity |journal=PLoS Neglected Tropical Diseases |date=6 September 2012 |volume=6 |page=e1814 |doi=10.1371/journal.pntd.0001814 |pmid=22970336 |pmc=3435256 |issue=9}}</ref>
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| 2013 || || Release || [[w:Malaria Atlas Project| MAP ]]launches its Repository of Open Access Data (ROAD-MAP) resource, with support from a Wellcome Biomedical Resources grant, and then funding from the {{w|Bill & Melinda Gates Foundation}}.<ref>{{cite web |title=New Wellcome Data Re-use Prizes to help unlock the value of research |url=https://wellcome.ac.uk/news/new-wellcome-data-re-use-prizes-help-unlock-value-research |website=wellcome.ac.uk |accessdate=4 March 2019}}</ref>
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| 2015 || || Research || [[w:Malaria Atlas Project| MAP ]] research shows that 80.7% of all people worldwide live within an hour of a city.<ref name="New Map Shows How Long It Takes People Around the World to Travel to the Nearest City">{{cite web |title=New Map Shows How Long It Takes People Around the World to Travel to the Nearest City |url=https://mymodernmet.com/urban-accessibility-map/ |website=mymodernmet.com |accessdate=4 March 2019}}</ref>
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| 2015 || September || Research || A study by [[w:Malaria Atlas Project|MAP ]] finds that “by far the most important intervention” in reducing malaria cases and deaths has been the use of insecticide-treated bednets (ITNs), around a billion of which have been distributed in Africa since 2000.<ref>{{cite web |title=Millions of children's lives saved as malaria deaths plunge: U.N. |url=https://www.reuters.com/article/us-health-malaria-who-idUSKCN0RG31Q20150916 |website=reuters.com |accessdate=4 March 2019}}</ref><ref>{{cite web |title=La malaria, por el buen camino |url=https://elpais.com/elpais/2015/09/17/planeta_futuro/1442507553_292130.html |website=elpais.com |accessdate=5 March 2019}}</ref><ref>{{cite web |title=Malaria deaths cut by 60% since 2000 but UN says $6bn a year boost needed |url=https://www.theguardian.com/global-development/2015/sep/17/malaria-achieveing-the-mdg-target-world-health-organisation-unicef-deaths-cut-since-2000 |website=theguardian.com |accessdate=5 March 2019}}</ref>
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| 2015 || || Research || Study by [[w:Malaria Atlas Project|MAP ]] published in [[w:Nature (journal)|Nature]] finds that ''{{w|Plasmodium falciparum}}'' infection prevalence in endemic Africa halved and the incidence of clinical disease fell by 40% between 2000 and 2015.<ref>{{cite web |title=THE IMPACT OF MALARIA CONTROL ON PLASMODIUM FALCIPARUM IN AFRICA, 2000-2015 |url=https://map.ox.ac.uk/research-project/the-impact-of-malaria-control-on-plasmodium-falciparum-in-africa-2000-2015/ |website=map.ox.ac.uk |accessdate=18 March 2019}}</ref>
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| 2015 || August 12 || Code rerpository || [[w:Malaria Atlas Project| MAP ]] creates repository named modis-acquisition on {{w|GitHub}}. It contains scripts used to go from the {{w|NASA}} [[w:Moderate Resolution Imaging Spectroradiometer|MODIS]] DAAC website to {{w|WGS84}} global geotiffs of LST, [[w:Enhanced vegetation index|EVI]], TCB, and TCW data.<ref>{{cite web |title=modis-acquisition |url=https://github.com/malaria-atlas-project/modis-acquisition |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=modis-acquisition |url=https://github.com/malaria-atlas-project/modis-acquisition/commits/master |website=github.com |accessdate=31 May 2019}}</ref>
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| 2015 || August 14 || Code repository || Map [[w:Malaria Atlas Project|MAP]] creates DHS-DataExtraction repository on {{w|GithubGitHub}}. It contains code for parsing hierarchical data in {{w|CSPro}} format.<ref>{{cite web |title=DHS-DataExtraction |url=https://github.com/malaria-atlas-project/DHS-DataExtraction/commits/master |website=github.com |accessdate=31 May 2019}}</ref>
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| 2016 || April 28 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates Temperature-Suitability-Model on {{w|GithubGitHub}}. The repository contains a parallelised re-implementation of the temperature suitability model.<ref>{{cite web |title=Temperature-Suitability-Model |url=https://github.com/malaria-atlas-project/Temperature-Suitability-Model/commits/master |website=github.com |accessdate=31 May 2019}}</ref>
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| 2016 || July 20 || Code repository || [[w:Malaria Atlas Project| MAP ]] creates DHS-Indicators repository on {{w|GithubGitHub}}. It contains {{w|SQL}} code for generating certain indicators by the {{w|United States Department of Homeland Security}}. The code is used in some collaborative work between MAP and DHS.<ref>{{cite web |title=DHS-Indicators |url=https://github.com/malaria-atlas-project/DHS-Indicators/commits/master |website=github.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=DHS-Indicators |url=https://github.com/malaria-atlas-project/DHS-Indicators |website=github.com |accessdate=31 May 2019}}</ref>
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| 2016 || November 2 || Research || Study by [[w:Malaria Atlas Project|MAP ]] quantifies the attributable effect of malaria disease control efforts in Africa, and finds that ''{{w|Plasmodium falciparum}}'' infection prevalence in endemic Africa halved and the incidence of clinical disease fell by 40% between 2000 and 2015.<ref>{{cite web |title=MALARIA IN AFRICA HALVED IN 15 YEARS |url=https://map.ox.ac.uk/malaria-in-africa-halved-in-15-years/ |website=map.ox.ac.uk |accessdate=5 March 2019}}</ref>
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| 2017 || March 13 || Code repository || [[w:Malaria Atlas Project| MAP ]] releases MAP-raster-utilities on {{w|GithubGitHub}}. The repository contains several {{w|ipython}} notebooks developed to process raster datasets in line with MAP requirements.<ref>{{cite web |title=all code in notebooks - non-tiled |url=https://github.com/malaria-atlas-project/MAP-raster-utilities/releases |website=github.com |accessdate=31 May 2019}}</ref>
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| 2017 || December 5 || Research || [[w:Malaria Atlas Project| MAP ]] collates georeferenced time-series data from peer-reviewed articles and routine case reporting, and constructs an inferential model to relate transmission data to a suite of temporally dynamic environmental covariates (temperature, vegetation, humidity etc.) from a remote sensing platform, with the aim at being able to accurately predict seasonal malaria transmission patterns (onset, duration, magnitude) in locations where malaria survey data are sparse.<ref>{{cite web |title=PREDICTING THE EFFECT OF SEASONALITY ON MALARIA TRANSMISSION |url=https://map.ox.ac.uk/research-project/predicting-malaria-seasonality/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>
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| 2017 || December 11 || Release || [[w:Malaria Atlas Project| MAP ]] releases new interactive malaria tools, making easier to download a wealth of malariometric data and covariates from its website.<ref>{{cite web |title=NEW INTERACTIVE MALARIA DATA TOOLS RELEASED |url=https://map.ox.ac.uk/new-interactive-malaria-map-released-explorer-tool/ |website=map.ox.ac.uk |accessdate=5 March 2019}}</ref>
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| 2018 || January 10 || Release || [[w:Malaria Atlas Project| MAP ]] releases a global map of accessibility to cities for the year 2015, showing the estimated travel time to the nearest city globally. The map is created in collaboration with {{w|Google}}, the {{w|Joint Research Centre}} of the {{w|European Union}}, and the {{w|University of Twente}}. The map provides a useful dataset, which includes those exploring beneficial aspects related to high accessibility such as increased wealth, educational attainment, and utilization of healthcare, as well as the negative aspects of high accessibility such as easing resource extraction and thus amplifying environmental degradation.<ref>{{cite web |title=ACCESSIBILITY TO CITIES |url=https://map.ox.ac.uk/accessibility_to_cities_news/ |website=map.ox.ac.uk |accessdate=5 March 2019}}</ref><ref>{{cite web |title=ACCESSIBILITY TO CITIES |url=https://map.ox.ac.uk/research-project/accessibility_to_cities/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>
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| 2018 || January 28 || Collaboration || [[w:Malaria Atlas Project| MAP ]] researchers collaborate with {{w|Google}} to produce a global accessibility map.<ref>{{cite web |title=New Map Shows How Connected Cities Are To Their Surroundings |url=https://www.forbes.com/sites/lauriewinkless/2018/01/28/new-map-shows-how-connected-cities-are-to-their-surroundings/#2a0978c0c95a |website=forbes.com |accessdate=4 March 2019}}</ref>
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| 2018 || January 31 || Application project || A Repository of Open Access Data – Malaria Atlas Project team builds a set of applications and tools to support the global malaria community. A key aspect of this work is the development of a relational database for epidemiological data.<ref>{{cite web |title=A RELATIONAL DATABASE FOR MALARIOMETRIC DATA |url=https://map.ox.ac.uk/application-project/epidemiology-database/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>
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| 2018 || February 28 || Research || [[w:Malaria Atlas Project| MAP ]] starts developing disaggregation models that use surveillance data alongside pixel-level environmental and human covariates in order to produce high-resolution burden estimates.<ref>{{cite web |title=PIXEL-LEVEL MODELLING IN LOW BURDEN AREAS |url=https://map.ox.ac.uk/research-project/pixel-level-modelling-low-burden-areas/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>
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| 2018 || March 1 || Data gathering project || The ROAD-MAP team (Repository of Open Access Data – Malaria Atlas Project) gathers routine case data from ministry of health reports and other sources and makes a coherent global dataset of reported incidence and deaths at a sub-national level.<ref>{{cite web |title=ROUTINE MALARIA CASES |url=https://map.ox.ac.uk/data-project/routine-malaria-cases/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>
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| 2018 || March 8 || Research || [[w:Malaria Atlas Project| MAP ]] starts working to integrate serological data within its risk mapping framework using novel semi-mechanistic models based.<ref>{{cite web |title=SEMI-MECHANISTIC MODELLING FOR SEROLOGICAL SURVEY DATA |url=https://map.ox.ac.uk/research-project/serological-mapping-malaria/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>|-| 2018 || March 15 || Research || [[w:Malaria Atlas Project|MAP]] starts developing a statistical framework for simultaneous estimation of malaria risk maps and health facility catchments based on a modified ‘gravity model’.<ref>{{cite web |title=CATCHMENT MODELLING FOR AREA-AVERAGED MALARIA DATA |url=https://map.ox.ac.uk/research-project/catchment-modelling-for-area-averaged-malaria-data/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>
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| 2018 || March 15 April 12 || Research Aplication project || [[w:Malaria Atlas Project| MAP starts developing a statistical framework for simultaneous estimation of ]] releases the malaria risk maps Atlas R package, which enables users to download, visualize and manipulate global parasite rate survey data and health facility catchments based on modelled raster outputs within R, a modified ‘gravity model’freely available and widely used statistical software environment.<ref>{{cite web |title=CATCHMENT MODELLING FOR AREA-AVERAGED MALARIA MAP DATA R PACKAGE |url=https://map.ox.ac.uk/researchapplication-project/catchment-modelling-for-area-averaged-malaria-datamalariaatlas_package/ |website=map.ox.ac.uk |accessdate=4 March 2019}}</ref>
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| 2018 || April 12 15 || Aplication project Code repository || malariaAtlas is released on {{w|GitHub}} as an [[w:R (programming language)| MAP releases the malaria Atlas R package, which enables users ]] interface to download, visualize and manipulate global parasite rate survey open-access malaria data and modelled raster outputs within R, a freely available and widely used statistical software environment. It is hosted by [[w:Malaria Atlas Project|MAP]].<ref>{{cite web |title=MAP DATA R PACKAGE malariaAtlas |url=https://mapgithub.oxcom/malaria-atlas-project/malariaAtlas |website=github.accom |accessdate=16 May 2019}}</ref><ref>{{cite web |title=malariaAtlas |url=https://github.ukcom/applicationmalaria-atlas-project/malariaatlas_packagemalariaAtlas/ releases |website=map.ox.acgithub.uk com |accessdate=4 March 16 May 2019}}</ref>
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| 2018 || April 15 July 19 || Code repository Application || malariaAtlas is released on {{w|GitHub}} as an After data provided by [[w:R (programming language)Malaria Atlas Project|RMAP]] interface , {{w|Glasgow, Montana}} is revealed to open-access malaria databe the most isolated town in the United States. It is hosted by MAPresearchers are able to calculate the travel time to get to every single square kilometer on earth, based on transportation options and terrain. Their database can predict ground transit times between any two places on the planet.<ref>{{cite web |title=malariaAtlas Glasgow, Montana Is America's Most Isolated Town |url=https://githubwww.cntraveler.com/malariastory/glasgow-montana-is-americas-atlasmost-projectisolated-town |website=cntraveler.com |accessdate=4 March 2019}}</ref><ref>{{cite web |title=Researchers Pinpoint the Geographic Location of "The Middle of Nowhere" |url=http://mentalfloss.com/article/531981/malariaAtlas researchers-pinpoint-geographic-location-middle-nowhere |website=githubmentalfloss.com |accessdate=16 May 4 March 2019}}</ref><ref>{{cite web |title=malariaAtlas This is where the middle of nowhere is, according to the best data possible |url=https://githubwww.denverpost.com/malaria2018/02/21/where-atlasis-project/malariaAtlasthe-middle-of-nowhere/releases |website=githubdenverpost.com |accessdate=16 May 4 March 2019}}</ref>
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| 2018 || July November 19 || Application || After data provided by MAP, The {{w|Glasgow, MontanaWorld Health Organisation}} 's 2018 World Malaria Report is revealed to be the most isolated town in the United States. published using maps produced by [[w:Malaria Atlas Project|MAP researchers are able to calculate the travel time to get to every single square kilometer on earth, based on transportation options and terrain. Their database can predict ground transit times between any two places on the planet]].<ref>{{cite web |title=Glasgow, Montana Is America's Most Isolated Town 2018 WORLD MALARIA REPORT IS PUBLISHED USING MAPS PRODUCED BY THE MALARIA ATLAS PROJECT |url=https://wwwmap.cntravelerox.comac.uk/story/glasgow2018-montanaworld-ismalaria-americasreport-mostis-isolatedpublished-town |website=cntraveler.com |accessdate=4 March 2019}}</ref><ref>{{cite web |title=Researchers Pinpoint the Geographic Location of "The Middle of Nowhere" |url=http://mentalfloss.com/article/531981/researchersusing-pinpointmaps-geographicproduced-location-middle-nowhere |website=mentalfloss.com |accessdate=4 March 2019}}</ref><ref>{{cite web |title=This is where the middle of nowhere is, according to the best data possible |url=https://www.denverpost.com/2018/02/21/where-isby-the-middlemalaria-ofatlas-nowhereproject/ |website=denverpostmap.ox.ac.com uk |accessdate=4 5 March 2019}}</ref>
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| 2018 || November 19 September 28 || Application Data gathering project || The [[w:Malaria Atlas Project|MAP]] gathers evidence that shows malaria parasite ''{{w|World Health OrganisationPlasmodium vivax}}'s 2018 World Malaria Report is published using maps produced by MAP' to be prevalent across {{w|Africa}}. clinical case reports, cross-sectional prevalence surveys, entomological and serological studies as well as documented infections in naïve travellers.<ref>{{cite web |title=2018 WORLD MALARIA REPORT IS PUBLISHED USING MAPS PRODUCED BY THE MALARIA ATLAS PROJECT COLLATING EVIDENCE OF PLASMODIUM VIVAX IN AFRICA |url=https://map.ox.ac.uk/2018data-worldproject/vivax-malariain-report-is-published-using-maps-produced-by-the-malaria-atlas-projectafrica/ |website=map.ox.ac.uk |accessdate=5 4 March 2019}}</ref>
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| 2018 || September 28 27 || Data gathering project || [[w:Malaria Atlas Project| MAP ]] gathers evidence that shows malaria parasite ''{{w|Plasmodium vivax}}'' data to be prevalent across describe the spatial epidemiology of {{w|Africaglucose-6-phosphate dehydrogenase deficiency}}. clinical case reports, cross-sectional prevalence surveys, entomological and serological studies as well as documented infections in naïve travellers.<ref>{{cite web |title=COLLATING EVIDENCE OF PLASMODIUM VIVAX IN AFRICA map.ox.ac.uk |url=https://map.ox.ac.uk/data-project/vivaxg6pd-indata-africaproject/ |website=map.ox.ac.uk G6PD DEFICIENCY DATA GATHERING PROJECT |accessdate=4 March 2019}}</ref>
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| 2018 || September 27 October 11 || Data gathering project Release || [[w:Malaria Atlas Project| MAP gathers data ]] releases a package to describe provide users of the spatial epidemiology of [[w:R (programming language)|R programming language]] with a convenient {{w|glucose-6-phosphate dehydrogenase deficiencyapplication programming interface}}to interact with MAP's publicly-available data holdings.<ref>{{cite web |title=map.ox.ac.uk MALARIAATLAS R PACKAGE FOR ACCESSING DATA |url=https://map.ox.ac.uk/datamalariaatlas-r-package-for-project/g6pdaccessing-data-project/ |website=G6PD DEFICIENCY DATA GATHERING PROJECT map.ox.ac.uk |accessdate=4 5 March 2019}}</ref>
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| 2018 || October 11 November 21 || Release Collaboration || MAP releases a package to provide users of the The {{w|Wellcome Trust}}’s Data Re-Use Prize: Malaria, is launched in collaboration with [[w:R (programming language)Malaria Atlas Project|R programming languageMAP]] and with a convenient support from {{w|application programming interfaceSage Bionetworks}} , with a cash prize of £15,000. It is aimed at data-scientists and modellers to bring their perspective to interact with MAP's publicly-available data holdingsand collectively provide insights.<ref>{{cite web |title=MALARIAATLAS R PACKAGE FOR ACCESSING WELLCOME TRUST DATA RE-USE PRIZE: MALARIA |url=https://map.ox.ac.uk/malariaatlaswellcome-rtrust-packagedata-forre-accessing-datause/ |website=map.ox.ac.uk |accessdate=5 March 2019}}</ref>
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| 2018 2019 || November 21 March || Collaboration Research || The Study led by the {{w|Wellcome TrustLondon School of Hygiene & Tropical Medicine}}’s Data Re-Use Prize: Malaria, is launched in collaboration with MAP and with support from {{w|Sage BionetworksImperial College London}}, with a cash prize of £15,000. It is aimed at data-scientists and modellers to bring their perspective to [[w:Malaria Atlas Project|MAP data ]], reveals that improved housing has doubled on the African continent between 2000 and collectively provide insights2015.<ref>{{cite web |title=WELLCOME TRUST DATA REImproved housing doubles in Sub-USE PRIZE: MALARIA Saharan Africa |url=https://mapwww.oxafricanews.ac.ukcom/2019/03/29/wellcomeimproved-housing-doubles-trustin-datasub-resaharan-useafrica/ |website=mapafricanews.ox.ac.uk com |accessdate=5 March 1 June 2019}}</ref>
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| 2019 || May || Collaboration || {{w|Facebook}} partners with several organizations, including [[w:Malaria Atlas Project|MAP]], to launch maps covering demographics, human movement, and network coverage, with the purpose to help health organizations respond to emergencies. The project uses real-time maps powered by satellite imagery, computer vision, census data, and Facebook’s proprietary data. <ref>{{cite web |title=Facebook launches Maps to help organisations respond to health emergencies |url=https://theeagleonline.com.ng/facebook-launches-maps-to-help-organisations-respond-to-health-emergencies/ |website=theeagleonline.com.ng |accessdate=1 June 2019}}</ref><ref>{{cite web |title=Facebook is mapping demographics, human movement, and network coverage to combat diseases |url=https://venturebeat.com/2019/05/20/facebook-is-mapping-demographics-human-movement-and-network-coverage-to-combat-diseases/ |website=venturebeat.com |accessdate=1 June 2019}}</ref><ref>{{cite web |title=Facebook launches three maps for health organizations dealing with health emergencies |url=https://www.thenews.com.pk/latest/474887-facebook-launches-three-maps-for-health-organizations-dealing-with-health-emergencies |website=thenews.com |accessdate=1 June 2019}}</ref>
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== Visual data ==
=== Google Trends ===
The comparative chart below shows {{w|Google Trends}} data for Malaria Atlas Project (Topìc), Malaria Consortium (Nonprofit) and Malaria No More (Nonprofit organization ), from January 2004 to March 2021, when the screenshot was taken. Interest is also ranked by country and displayed on world map. <ref>{{cite web |title=Malaria Atlas Project, Malaria Consortium and Malaria No More |url=https://trends.google.com/trends/explore?date=all&q=%2Fm%2F02qzff9,%2Fm%2F05t0cq6,%2Fm%2F02rr2hr |website=Google Trends |access-date=30 March 2021}}</ref>
[[File:Malaria Atlas Project, Malaria Consortium and Malaria No More gt.png|thumb|center|600px]]
=== Google Ngram Viewer ===
The comparative chart below shows {{w|Google Ngram Viewer}} data for {{w|Against Malaria Foundation}}, {{w|Malaria No More}}, {{w|Malaria Atlas Project}} and {{w|Malaria Consortium}}, from 1980 to 2019.<ref>{{cite web |title=Against Malaria Foundation, Malaria No More, Malaria Atlas Project and Malaria Consortium |url=https://books.google.com/ngrams/graph?content=Against+Malaria+Foundation%2CMalaria+No+More%2CMalaria+Atlas+Project%2CMalaria+Consortium&year_start=1980&year_end=2019&corpus=26&smoothing=3&direct_url=t1%3B%2CAgainst%20Malaria%20Foundation%3B%2Cc0%3B.t1%3B%2CMalaria%20No%20More%3B%2Cc0%3B.t1%3B%2CMalaria%20Atlas%20Project%3B%2Cc0%3B.t1%3B%2CMalaria%20Consortium%3B%2Cc0#t1%3B%2CAgainst%20Malaria%20Foundation%3B%2Cc0%3B.t1%3B%2CMalaria%20No%20More%3B%2Cc0%3B.t1%3B%2CMalaria%20Atlas%20Project%3B%2Cc0%3B.t1%3B%2CMalaria%20Consortium%3B%2Cc0 |website=books.google.com |access-date=30 March 2021 |language=en}}</ref>
[[File:Against Malaria Foundation, Malaria No More, Malaria Atlas Project and Malaria Consortium ngram.png|thumb|center|700px]]
=== Wikipedia Views ===
The chart below shows pageviews of the English Wikipedia article {{w|Malaria Atlas Project}}, on desktop from December 2007, and on mobile-web, desktop-spider, mobile-web-spider and mobile app, from July 2015; to February 2021.<ref>{{cite web |title=Malaria Atlas Project |url=https://wikipediaviews.org/displayviewsformultiplemonths.php?page=Malaria+Atlas+Project&allmonths=allmonths&language=en&drilldown=all |website=wikipediaviews.org |access-date=11 March 2021}}</ref>
[[File:Malaria Atlas Project wv.png|thumb|center|400px]]
==Meta information on the timeline==
==See also==
* [[Timeline of malaria]]
* [[Timeline of Malaria Consortium]]
* [[Timeline of Against Malaria Foundation]]
* [[Combined timeline of malaria organizations]]
* [[Timeline of malaria in 2014]]
* [[Timeline of malaria in 2015]]
* [[Timeline of malaria in 2016]]
* [[Timeline of malaria in 2017]]
* [[Timeline of malaria in 2018]]
==External links==
