Big Data approaches to host-pathogen mapping: EID2 - an open-access, taxonomically- and spatially-referenced database of pathogens and their hosts
Big Data approaches to host-pathogen mapping: EID2 - an open-access, taxonomically- and spatially-referenced database of pathogens and their hosts
批准号:
BB/N02320X/1
负责人:
Matthew Baylis
金额:
$19.23万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
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英文摘要
What are all of the known pathogens of humans, and those of the animals that associate closely with us, and hence might spread to us? What are all of the known pathogens of the plants that we eat? And where in the world are these pathogens found? The general public may be surprised that answers to these questions are hard to obtain. A recent (2013) estimate is that only about one in fifty of human diseases have been comprehensively mapped, and the situation for animal and plant diseases is probably worse.In recent years the University of Liverpool has created an open-access database of human and animal pathogens, called the ENHanCED Infectious Diseases database or EID2. It stores information on pathogens, their hosts, and where both are found in the world, at national and sub-national (i.e. state or region) levels. All data are linked to evidence. The data entered into the database is obtained largely from three publicly available online resources: a taxonomy database (which describes which sort of organism a pathogen or host is - virus, insect, mammal etc.); a nucleotide sequence database (which provides information on the hosts and locations of pathogens); and a publication database called PubMed. Importantly, the data is obtained from these data sources by automated procedures, such that they can be regularly updated for relatively little effort. This is important as, for example, the numbers of nucleotide sequences entered into Genbank, one source of our information, is approaching 10 million per year; and there are over 1 million new papers indexed annually by PubMed (NCBI statistics).We expect EID2 to become a major resource for people involved in health-related research, and other health professionals. The volume of data in EID2 is already large and, over time, as more data become available and are automatically entered into the database, we hope it will become more comprehensive, and the definitive source of pathogen/disease information.EID2 offers numerous functions: identifying the pathogens of hosts, the hosts of pathogens, the known pathogens of a specific country or region, maps of the distribution of pathogens, and more besides.The aim of this proposal is to expand the database to include the pathogens of crop plants, add a new data stream for notifiable animal diseases which will make it more comprehensive and timely, update it regularly as new data become available, increase its functionality and speed, allow users to request changes and download bespoke data outputs, continually assess its accuracy, and promote its use to research and other communities.
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Identifying life-history patterns along the fast-slow continuum of mammalian viral carriers
识别哺乳动物病毒携带者快慢连续体的生活史模式
DOI:
10.21203/rs.3.rs-2722217/v1
发表时间:
2023
期刊:
影响因子:
--
作者:
[Tonelli A]
通讯作者:
Tonelli A
Predicting mammalian hosts in which novel coronaviruses can be generated
预测可产生新型冠状病毒的哺乳动物宿主
DOI:
10.1101/2020.06.15.151845
发表时间:
2020
期刊:
影响因子:
--
作者:
[Wardeh M]
通讯作者:
Wardeh M
Reply to Gautret et al.
回复 Gautret 等人。
DOI:
10.1093/infdis/jix022
发表时间:
2017
期刊:
The Journal of infectious diseases
影响因子:
--
作者:
[Caminade C]
通讯作者:
Caminade C
DOI:
10.1038/s41598-017-06948-9
发表时间:
2017-08-02
期刊:
Scientific reports
影响因子:
4.6
作者:
[McIntyre KM, Setzkorn C, Hepworth PJ, Morand S, Morse AP, Baylis M]
通讯作者:
Baylis M
DOI:
10.1111/nyas.13950
发表时间:
2019-01
期刊:
Annals of the New York Academy of Sciences
影响因子:
5.2
作者:
[Caminade C, McIntyre KM, Jones AE]
通讯作者:
Jones AE
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Translation to policy, practice and product for low and middle income countries
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Understanding the emergence of variant infectious bronchitis virus in chickens in UK and India: shared control strategies
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GCRF: One Health Regional Network for the Horn of Africa (HORN)
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Impact of El Niño on malaria vector dynamics in Tanzania: observation, improvement and unleashing forecasting potential
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Zika: susceptibility of South American and European vectors to ZIKV infection, and influenceof temperature
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US Partnering Award: Vector-borne diseases in the UK & US: common threats and shared solutions
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Vector competence of British mosquitoes to flaviviruses
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Emergence of Japanese Encephalitis in the highlands of Nepal
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依托单位:
Risk assessment of the impact of climate change on human health and well-being
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资助金额:$51.94万
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负责人:Matthew Baylis
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依托单位:
国内基金
海外基金
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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