WO2019030432A1 - User device, method and equipment for microbiome tracking - Google Patents
User device, method and equipment for microbiome tracking Download PDFInfo
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- WO2019030432A1 WO2019030432A1 PCT/FI2018/050576 FI2018050576W WO2019030432A1 WO 2019030432 A1 WO2019030432 A1 WO 2019030432A1 FI 2018050576 W FI2018050576 W FI 2018050576W WO 2019030432 A1 WO2019030432 A1 WO 2019030432A1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/0009—Transmission of position information to remote stations
- G01S5/0018—Transmission from mobile station to base station
- G01S5/0027—Transmission from mobile station to base station of actual mobile position, i.e. position determined on mobile
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
- C12Q1/6888—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms
- C12Q1/689—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for bacteria
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
User device, method and equipment for microbiome tracking. A positioning circuitry determines current position of the user device (110). A processor (230) produces an estimate of local microbiome at determined current location of the user device (110) based on at least earlier measured microbiome at said current location or other locations. The processor (230) further controls a user interface (210) to present a continually updated indication of: the estimate of local microbiome at the current location of the user device (110); or a derivative of estimates of local microbiome at the previous location and the current location.
Description
USER DEVICE, METHOD AND EQUIPMENT FOR MICROBIOME TRACKING TECHNICAL FIELD
The present invention generally relates to a user device, method and equipment for microbiome tracking.
BACKGROUND ART
This section illustrates useful background information without admission of any technique described herein representative of the state of the art.
Microbiome varies geographically based on various factors and with particular effects. For example, there is an interrelation between environmental biodiversity, human microbiota and allergy and other immune mediated disorders. Further, the microbiome influence on growth of different plants and deterioration of man-made structures.
There is a correlation and expected causality between land cover type and microbiome, although numerous other factors additionally affect on the microbiome and its impact on proximate, such as (variation of) temperature, moisture, sunlight, and animal and human dwelling among others. The land cover has been mapped e.g. in a Pan-European Corine land cover inventory that was initiated already in 1985.
While microbiome have significant effects for agriculture, land use potential and even health, there is a need for new technology for microbiome tracking.
SUMMARY
According to a first aspect of the invention there is provided a user device for microbiome tracking, comprising:
a user interface;
a positioning circuitry configured to determine current position of the user device;
a processor configured to produce an estimate of local microbiome at
determined current location of the user device based on at least earlier measured microbiome at said current location or other locations;
wherein the processor is further configured to control the user interface to present a continually updated indication of:
the estimate of local microbiome at the current location of the user device; or
a derivative of estimates of local microbiome at the previous location and the current location. The updated indication may comprise an indication of suitability of current location of the user device for a given human; industrial; medical or agricultural activity.
The processor may be further configured to compute the estimate of local microbiome at the current location of the user device. The processor may be configured to compute the estimate of local microbiome at the current location of the user device based on land cover at the current location and microbiome measured for other locations with same or similar land cover. The processor may be configured to detect land cover at the current location of the user device. The land cover may be detected using any one or more of: camera image signal produced by the user device; microphone signal produced by the user device; and acceleration data produced by the user device. The user device may comprise one or more cameras and image processing functionality for detecting the land cover from the camera signal. The user device may comprise a sound analyzing functionality for analyzing sounds captured by a microphone and identifying sounds indicative of land cover while a person or vehicle moves on the ground. The user device may comprise acceleration sensors in a common housing or at distributed proximate locations. One or more acceleration sensors may be worn by a user in shoes, ankles, pockets, necklace or back bag.
The processor may be configured to obtain from a remote entity the estimate of local microbiome at the current location of the user device. The remote entity may be any of a network server; and a cloud service.
The processor may be further configured to compute a derivative of estimates of local microbiome at the previous location and the current location.
The user device may further comprise a memory configured to collect the produced estimates of local microbiome while the user device is moved from a previous location to the current location.
The user device may be configured to estimate an exposure rate at which a user of the user device is currently exposed to prevailing microbiome. The user device may comprise a circuitry configured to detect how likely the user is making skin contact with the prevailing microbiome and to accordingly adapt the indication of the derivative of the estimates of local microbiome at the previous location and the current location. The estimation of exposure rate may take into account knowledge about any one of season; ambient temperature; humidity of air; moisture of ground; snow cover of ground; rain; precipitation; day time; pollen level; air pollution such as particulate matter; polyaromatic hydrocarbon and ozone levels and any information capable of estimating current immunomodulatory potential at the current location.
The microbiome may comprise immunomodulatory microbiome.
The processor may be configured to compute an immunomodulatory balance value indicative of a risk of the user being infected by pathogens. The computation of the immunomodulatory balance value may be based on any one or more of: information about past health history of the user; vaccination history of the user; current medication against particular diseases such as malaria; immunological defects of the user; and age, sex and menstruation cycle of the user.
Different factors used in computing the immunomodulatory balance value may be updated with same or different interval, that may be any of yearly, monthly, weekly, daily, hourly or every x seconds, wherein x is a decimal number greater than 0.
The memory may be configured to store a microbiome definition. The microbiome
definition may comprise one or more criteria regarding the microbiome to enable desired activity that has dependence on microbiome influence. The processor may be further configured to estimate movement conditions for the user device configured to define how the user device should be moved in order to enable the desired activity. The processor may be configured to use the estimated exposure rate in the defining how the user device should be moved in order to enable the desired activity.
The desired activity may comprise any of planting; manipulating surface of ground at a microbiome suitable position for producing desired growth conditions for a desired growth; adjusting wetness of the surface of ground at a microbiome suitable position for producing desired growth conditions for a desired growth; harvesting growth of desired live substance with a movement pattern optimized for yield and required harvesting effort; and improving microbiological condition of a human or animal body. The estimated movement conditions may comprise one or more conditions for any of speed; and path. The conditions may include any one or more of a: minimum; maximum; median; and average.
The user interface may be configured to provide an indication of the estimated movement conditions in a real-time process.
The processor may be further configured to enable user interaction with social media. The user interaction may comprise sharing estimates or derivatives of the estimates using social media.
The processor may be configured to model an immunological status of the user and to determine a moment of time when the user should benefit from moving to a location with a given local microbiome. The processor may be configured to cause the user interface to prompt the user to move accordingly.
According to a second aspect of the invention there is provided a method in a user device for microbiome tracking, comprising:
determining current position of the user device;
producing an estimate of local microbiome at determined current location of the user device based on at least earlier measured microbiome at said current location or other locations;
presenting a continually updated indication of:
the estimate of local microbiome at the current location of the user device; or
a derivative of estimates of local microbiome at the previous location and the current location.
The updated indication may comprise an indication of suitability of current location of the user device for a given human; industrial; medical or agricultural activity.
The method may further comprise computing the estimate of local microbiome at the current location of the user device. The estimate of local microbiome at the current location of the user device may be computed based on land cover at the current location and microbiome measured for other locations with same or similar land cover. Alternatively or additionally, the method may comprise obtaining from a remote entity the estimate of local microbiome at the current location of the user device. The remote entity may be any of a network server; and a cloud service.
The method may be further comprise computing a derivative of estimates of local microbiome at the previous location and the current location. The method may be further comprise collecting the produced estimates of local microbiome while the user device is moved from a previous location to the current location.
The method may be further comprise estimating an exposure rate at which a user of the user device is currently exposed to prevailing microbiome. The method may be further comprise detecting how likely the user is making skin contact with the prevailing microbiome and to accordingly adapting the indication of the derivative of
the estimates of local microbiome at the previous location and the current location.
The method may be further comprise storing a microbiome definition. The microbiome definition may comprise one or more criteria regarding the microbiome to enable desired activity that has dependence on microbiome influence. The method may be further comprise estimating movement conditions for the user device configured to define how the user device should be moved in order to enable the desired activity. The method may be further comprise using the estimated exposure rate in the defining how the user device should be moved in order to enable the desired activity.
The desired activity may comprise any of planting; manipulating surface of ground at a microbiome suitable position for producing desired growth conditions for a desired growth; adjusting wetness of the surface of ground at a microbiome suitable position for producing desired growth conditions for a desired growth; harvesting growth of desired live substance with an movement pattern optimized for yield and required harvesting effort; and improving microbiological condition of a human or animal body.
The estimated movement conditions may comprise one or more conditions for any of speed; and path. The conditions may include any one or more of a: minimum; maximum; median; and average.
The method may be further comprise providing an indication of the estimated movement conditions in a real-time process. The method may further comprise modelling an immunological status of the user and to determine a moment of time when the user should benefit from moving to a location with a given local microbiome. The method may further comprise prompting the user to move accordingly.
According to a third aspect of the invention there is provided equipment comprising: an input configured to receive:
geographic land cover data for an area covering plurality of different
locations;
microbiome data for at least a subset of said plurality of different locations;
a position definition; and
a microbiome definition;
the equipment further comprising:
a processor configured to search a target area from said plurality of different locations based on at least the position definition and the microbiome definition; and an output configured to output results of the search of the target area.
The processor may be configured to estimate microbiome for given locations among said plurality of different locations for which microbiome data is not received. The processor may be configured to estimate microbiome for all locations among said plurality of different locations for which microbiome data is not received.
The processor may be configured to estimate microbiome for a given location among said plurality of locations based on other one or more reference locations of said plurality of different locations that share same or similar land cover. The reference locations may be proximate to the given location, for example within N meters or location areas.
The location areas may be geographic areas represented by the plurality of different locations. Each location area may have a maximum horizontal dimension that is at least 1, 2, 5, 10, or 20 meters. Each location area may have a minimum horizontal dimension that is at least 1, 2, 5, 10, or 20 meters.
All or some of said plurality of different locations may each correspond to areas of at least one of: same size; and same shape. The input may be configured to receive the land cover data from a database. Alternatively or additionally, the input may be configured to receive the microbiome data for at least a subset of said plurality of different locations. The database may be a
public database.
The microbiome definition may comprise one or more microbiome criteria. The microbiome criteria may comprise an upper or lower limit for given any one or more bacteria; archaea; protists; fungi; or viruses. The microbiome criteria may also comprise one or more criteria for combinations of any one or more bacteria; archaea; protists; fungi; or viruses.
The microbiome definition may correlate with suitability for given human; industrial; medical or agricultural activity. The microbiome definition may correlate with suitability for growing given organism selected from a group consisting of: plants; mushrooms; fungi; medical fungi; insects; mammals or other animals.
The position definition may comprise one or more position criteria, such as minimum or maximum: latitude; longitude; altitude; distance from given resource; and distance from a given position. The given resource may comprise any one or more of: body of water; road; path; city; village; field; industrial plant; pharmacological facility; and harbor. The input may be configured to receive from a user at least one of the position definition and the microbiome definition.
The output may be configured to output the results of the search of the target area to the user.
The input and output may be configured to exchange information with the user via a user device.
According to a fourth aspect of the invention there is provided a method in equipment, comprising:
receiving:
geographic land cover data for an area covering plurality of different
locations;
microbiome data for at least a subset of said plurality of different locations;
a position definition; and
a microbiome definition;
the method further comprising:
searching a target area from said plurality of different locations based on at least the position definition and the microbiome definition; and
outputting results of the search of the target area.
Microbiome may be estimated for given locations among said plurality of different locations for which microbiome data is not received. Microbiome may be estimated for all locations among said plurality of different locations for which microbiome data is not received.
Microbiome may be estimated for a given location among said plurality of locations based on other one or more reference locations of said plurality of different locations that share same or similar land cover. The reference locations may be proximate to the given location, for example within N meters or location areas.
The microbiome definition may comprise one or more microbiome criteria. The microbiome criteria may comprise an upper or lower limit for given any one or more bacteria; archaea; protists; fungi; or viruses. The microbiome criteria may also comprise one or more criteria for combinations of any one or more bacteria; archaea; protists; fungi; or viruses.
The microbiome definition may correlate with suitability for given human; industrial; medical or agricultural activity. The microbiome definition may correlate with suitability for growing given organism selected from a group consisting of: plants; mushrooms; fungi; medical fungi; insects; mammals or other animals.
The position definition may comprise one or more position criteria, such as minimum
or maximum: latitude; longitude; altitude; distance from given resource; and distance from a given position. The given resource may comprise any one or more of: body of water; road; path; city; village; field; industrial plant; pharmacological facility; and harbor.
The input may be configured to receive from a user at least one of the position definition and the microbiome definition.
The output may be configured to output the results of the search of the target area to the user.
The input and output may be configured to exchange information with the user via a user device. According to a fifth aspect of the invention there is provided a computer program comprising computer executable program code which when executed by at least one processor causes performing the method of the first or third aspect.
According to a sixth aspect of the invention there is provided a computer program product comprising a non-transitory computer readable medium having the computer program of the fifth aspect stored thereon.
Different non-binding aspects and embodiments of the present invention have been illustrated in the foregoing. The embodiments in the foregoing are used merely to explain selected aspects or steps that may be utilized in implementations of the present invention. Some embodiments may be presented only with reference to certain aspects of the invention. It should be appreciated that corresponding embodiments may apply to other aspects as well. BRIEF DESCRIPTION OF THE DRAWINGS
Some embodiments of the invention will be described with reference to the accompanying drawings, in which:
Fig. 1 shows a schematic picture of a system according to an embodiment of the invention;
Fig. 2 shows a block diagram of a user device of Fig. 1;
Fig. 3 shows a flow chart of a method in the user device according to an embodiment of the invention; and
Fig. 4 shows a block diagram of equipment of Fig. 1; and
Fig. 5 shows a flow chart of a method in the equipment according to an embodiment of the invention. DETAILED DESCRIPTION
In the following description, like reference signs denote like elements or steps.
Fig. 1 shows a schematic picture of a system 100 according to an embodiment of the invention. The system comprises a plurality of user devices 110 such as portable devices like mobile phones and equipment 120 such as a back-end server or cloud computing service. Notice that in some embodiments, the equipment 120 can be built- in the user device as well.
Fig. 2 shows a block diagram of the user device 110 of Fig. 1, comprising:
a user interface 210;
a positioning circuitry 220 configured to determine current position of the user device 110; and
a processor 230 configured to produce an estimate of local microbiome at determined current location of the user device 110 based on at least earlier measured microbiome at said current location or other locations.
Typically, the user device 110 further comprises a memory 240; and software such as a computer program 250 for controlling operation of the user device 110 when executed by the processor 230.
The processor 230 is further configured to control the user interface to present a continually updated indication of:
the estimate of local microbiome at the current location of the user
device 110; or
a derivative of estimates of local microbiome at the previous location and the current location. The updated indication comprises, for example, an indication of suitability of current location of the user device 110 for a given human; industrial; medical or agricultural activity.
The processor 230 can be further configured to compute the estimate of local microbiome at the current location of the user device 110. For example, the processor 230 can be configured to compute the estimate of local microbiome at the current location of the user device 110 based on land cover at the current location and microbiome measured for other locations with same or similar land cover. In an embodiment, the processor 230 is configured to detect land cover at the current location of the user device 110 using, for example, any one or more of: camera image signal produced by the user device 110; microphone signal produced by the user device 110; acceleration data produced by the user device 110; and altitude information obtained e.g. from the acceleration data, positioning and/or atmospheric pressure. For example, the user device 110 can be equipped with one or more cameras and image processing functionality for detecting the land cover from the camera signal. Further or alternatively, the user device 110 may comprise a sound analyzing functionality for analyzing sounds captured by a microphone and identifying sounds indicative of land cover while a person or vehicle moves on the ground. Yet further or alternatively, user device 110 may comprise acceleration sensors in a common housing or at distributed proximate locations. In an embodiment, one or more acceleration sensors are worn by a user in shoes, ankles, pockets, necklace or back bag.
In an embodiment, the processor 230 configured to obtain from a remote entity the estimate of local microbiome at the current location of the user device 110.
In an embodiment, the processor 230 is further configured to compute a derivative of estimates of local microbiome at the previous location and the current location.
The user device 110 is provided in an embodiment with a memory configured to collect the produced estimates of local microbiome while the user device 110 is moved from a previous location to the current location.
The memory including, for example, a persistent memory configured to store computer program code and a work memory for running the computer program code by the processor 230. The processor 230 is, for example, a master control unit (MCU). Alternatively, the processor may be a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array, a microcontroller or a combination of such elements. Moreover, the processor 230 can be formed of more than one elements as a distributed part.
The user interface 210 comprises, for example, circuitry for receiving input from a user such as a keyboard, speech recognition circuitry, and circuitry for providing output to the user via, e.g., a graphical user interface or a loudspeaker. The user device 110 is configured in an embodiment to estimate an exposure rate at which a user of the user device 110 is currently exposed to prevailing microbiome, for example using a circuitry configured to detect how likely the user is making skin contact with the prevailing microbiome and to accordingly adapt the indication of the derivative of the estimates of local microbiome at the previous location and the current location. The estimation of exposure rate may take into account knowledge about any one of season; ambient temperature; humidity of air; moisture of ground; snow cover of ground; rain; precipitation; day time; pollen level; pollution level; polyaromatic hydrocarbon and ozone levels; proximity to land cover (e.g. with height measurement or estimation e.g. from acceleration sensors) and any information capable of estimating current immunomodulatory potential at the current location.
In an embodiment, the microbiome is immunomodulatory microbiome. The processor
230 can be configured to compute an immunomodulatory balance value indicative of a risk of the user being infected by pathogens based on, for example, any one or more of: information about past health history of the user; vaccination history of the user; current medication against particular diseases such as malaria; immunological defects of the user; and age, sex and menstruation cycle of the user. The processor 230 may be configured to gather online information about changes in the abundance of pests e.g. as ticks wake up after winter and how their reproduce during a summer and whether tick observations have been common and if emergence of e.g. borreliosis has increased. Different factors used in computing the immunomodulatory balance value can be updated with same or different interval, that may be any of yearly, monthly, weekly, daily, hourly or every x seconds, wherein x is a decimal number greater than 0 (e.g. 0.1 s, 1 s, 5 s, 10 s, 30 s or 70 s). The memory is configured in an embodiment to store a microbiome definition that can comprise, for example, one or more criteria regarding the microbiome to enable desired activity that has dependence on microbiome influence. The processor 230 can be further configured to estimate movement conditions for the user device 110 configured to define how the user device 110 should be moved in order to enable the desired activity.
In an embodiment, the processor 230 is configured to use the estimated exposure rate in the defining how the user device 110 should be moved in order to enable the desired activity. The estimated movement conditions comprise, for example, one or more conditions for any of speed; and path. The conditions include e.g. any one or more of a: minimum; maximum; median; and average.
In an embodiment, the user interface is configured to provide an indication of the estimated movement conditions in a real-time process.
In an embodiment, the processor 230 is further configured to enable user interaction
with social media.
In an embodiment, the processor 230 is configured to model an immunological status of the user and to determine a moment of time when the user should benefit from moving to a location with a given local microbiome. The processor 230 can be configured to cause the user interface to prompt the user to move accordingly.
Fig. 3 shows a flow chart of a method 300 in the user device 110 according to an embodiment of the invention for microbiome tracking, comprising:
determining 310 current position of the user device 110;
producing 320 an estimate of local microbiome at determined current location of the user device 110 based on at least earlier measured microbiome at said current location or other locations;
presenting 330 a continually updated indication of:
the estimate of local microbiome at the current location of the user device 110; or
a derivative of estimates of local microbiome at the previous location and the current location. Fig. 4 shows a block diagram of the equipment 120 of Fig. 1, comprising:
an input 410 configured to receive:
geographic land cover data for an area covering plurality of different locations;
microbiome data for at least a subset of said plurality of different locations;
a position definition; and
a microbiome definition;
the equipment 120 further comprising:
a processor 420 configured to search a target area from said plurality of different locations based on at least the position definition and the microbiome definition; and
an output 430 configured to output results of the search of the target area.
The equipment 120 typically further comprises a memory 440 and software 450 such as a computer program for controlling operation of the equipment 120 when executed by the processor 420. Fig. 5 shows a flow chart of a method 500 in the equipment 120 according to an embodiment of the invention, comprising:
receiving 510:
geographic land cover data for an area covering plurality of different locations;
microbiome data for at least a subset of said plurality of different locations;
a position definition; and
a microbiome definition;
the method 500 further comprising:
searching 520 a target area from said plurality of different locations based on at least the position definition and the microbiome definition; and
outputting 530 results of the search of the target area.
Various embodiments have been presented. It should be appreciated that in this document, words comprise, include and contain are each used as open-ended expressions with no intended exclusivity.
The foregoing description has provided by way of non-limiting examples of particular implementations and embodiments of the invention a full and informative description of the best mode presently contemplated by the inventors for carrying out the invention. It is however clear to a person skilled in the art that the invention is not restricted to details of the embodiments presented in the foregoing, but that it can be implemented in other embodiments using equivalent means or in different combinations of embodiments without deviating from the characteristics of the invention.
Furthermore, some of the features of the afore-disclosed embodiments of this invention may be used to advantage without the corresponding use of other features.
As such, the foregoing description shall be considered as merely illustrative of the principles of the present invention, and not in limitation thereof. Hence, the scope of the invention is only restricted by the appended patent claims.
Claims
1. A user device (110) for microbiome tracking, comprising:
a user interface (210);
a positioning circuitry configured to determine current position of the user device (110);
a processor (230) configured to produce an estimate of local microbiome at determined current location of the user device (110) based on at least earlier measured microbiome at said current location or other locations;
wherein the processor (230) is further configured to control the user interface (210) to present a continually updated indication of:
the estimate of local microbiome at the current location of the user device (110); or
a derivative of estimates of local microbiome at the previous location and the current location.
2. The user device (110) of claim 1, wherein the processor (230) is further configured to compute the estimate of local microbiome at the current location of the user device (110).
3. The user device (110) of claim 1 or 2, wherein the processor (230) is configured to compute the estimate of local microbiome at the current location of the user device (110) based on land cover at the current location and microbiome measured for other locations with same or similar land cover.
4. The user device (110) of any one of preceding claims, wherein the processor (230) is configured to obtain from a remote entity the estimate of local microbiome at the current location of the user device (110).
5. The user device (110) of any one of preceding claims, wherein the processor (230) may be further configured to compute a derivative of estimates of local microbiome at the previous location and the current location.
6. The user device (110) of any one of preceding claims, further configured to estimate an exposure rate at which a user of the user device (110) is currently exposed to prevailing microbiome.
7. The user device (110) of any one of preceding claims, wherein the processor (230) is configured to compute an immunomodulatory balance value indicative of a risk of the user being infected by pathogens based on any one or more of: information about past health history of the user; vaccination history of the user; current medication against particular diseases such as malaria; immunological defects of the user; and age, sex, and menstruation cycle of the user.
8. The user device (110) of any one of preceding claims, wherein the user interface (210) is configured to provide an indication of the estimated movement conditions in a real-time process.
9. A method (300) in a user device (110) for microbiome tracking, comprising: determining (310) current position of the user device (110);
producing an estimate of local microbiome at determined current location of the user device (110) based on at least earlier measured microbiome at said current location or other locations;
presenting a continually updated indication of:
the estimate of local microbiome at the current location of the user device (110); or
a derivative of estimates of local microbiome at the previous location and the current location.
10. Equipment (120) comprising:
an input (410) configured to receive:
geographic land cover data for an area covering plurality of different locations;
microbiome data for at least a subset of said plurality of different locations;
a position definition; and
a microbiome definition;
the equipment (120) further comprising:
a processor (420) configured to search a target area from said plurality of different locations based on at least the position definition and the microbiome definition; and
an output (430) configured to output results of the search of the target area.
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| Application Number | Priority Date | Filing Date | Title |
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| FI20175721 | 2017-08-11 | ||
| FI20175721 | 2017-08-11 |
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| WO2019030432A1 true WO2019030432A1 (en) | 2019-02-14 |
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