Granted Patent B2

US 12,584,898 · App. 17/728,472 · Granted Mar 24, 2026

Inventors: Sam D. Molyneux (Mountain View, CA); Elizabeth Caley (Mountain View, CA); Daniela Bezdan (Mountain View, CA); Ricardo Vidal (Mountain View, CA); Nathan Volman (Mountain View, CA); Tae Joon Yi (Mountain View, CA)

Assignee: Poppy Health, Inc.

G01N33/0075C12Q1/6888G01N33/0036G01N33/497

Abstract

Claims (151)

1 . A method comprising:

accessing a timeseries of pathogen data:

derived from a series of pathogen samples collected by an air sampler, installed in an indoor environment, during a first time period; and

representing levels of a set of microbes;

for each microbe, in the set of microbes, deriving a population curve, in a set of population curves, representing changes in population of the microbe present in the indoor environment during the first time period based on the timeseries of pathogen data; and

for a first subset of microbes in the set of microbes:

characterizing a first correlation between a first subset of population curves, in the set of population curves, corresponding to the first subset of microbes;

based on the first correlation, predicting a first causal pathway for an increase in populations of the first subset of microbes during the first time period based on characteristics common within the first subset of microbes;

identifying a first mitigation action, in a set of mitigation actions, linked to suppression of the first causal pathway;

generating a prompt to execute the first mitigation action in the indoor environment; and

transmitting the prompt to a user associated with the indoor environment.

2 . The method of claim 1 , further comprising:

defining the first subset of microbes comprising a first microbe and a second microbe;

defining a second subset of microbes comprising:

the first microbe and a third microbe; and

excluding the second microbe;

characterizing a second correlation between a second subset of population curves, in the set of population curves, corresponding to the second subset of microbes; and

based on the second correlation, dissociating an increase in populations of the second subset of microbes during the first time period from a second causal pathway.

3 . The method of claim 1 :

further comprising defining the first subset of microbes comprising:

a first microbe associated with the first causal pathway and a second causal pathway predicted to increase population of the first microbe; and

a second microbe associated with the first causal pathway and a third causal pathway predicted to increase population of the first microbe; and

wherein predicting the first causal pathway for the increase in populations of the first subset of microbes comprises, predicting the first causal pathway, in place of the second causal pathway and the third causal pathway, for the increase in populations of the first subset of microbes during the first time period in response to the first correlation exceeding a threshold correlation.

4 . The method of claim 3 , further comprising:

accessing a second timeseries of pathogen data:

derived from a second series of pathogen samples collected by the air sampler during a second time period; and

representing levels of the set of microbes;

for each microbe, in the set of microbes, deriving a second population curve, in a second set of population curves, representing changes in population of the microbe present in the indoor environment during the second period based on the second timeseries of pathogen data;

defining a second subset of microbes, in the set of microbes, comprising:

the first microbe; and

a third microbe associated with the second causal pathway and a fourth causal pathway predicted to increase population of the first microbe; and

for the second subset of microbes:

characterizing a second correlation between a second subset of population curves, in the set of population curves, corresponding to the second subset of microbes;

in response to the second correlation exceeding the threshold correlation, predicting the second causal pathway, in place of the first causal pathway, the third causal pathway, and the fourth causal pathway, for an increase in populations of the second subset of microbes during the second time period based on characteristics common within the first microbe and the third microbe;

identifying a second mitigation action, in the set of mitigation actions, linked to suppression of the second causal pathway;

generating a second prompt to execute the second mitigation action in the indoor environment; and

transmitting the second prompt to the user.

5 . The method of claim 1 :

wherein predicting the first causal pathway based on characteristics common within the first subset of microbes comprises:

for each microbe, in the set of microbes, accessing a set of characteristics of the microbe;

identifying a subset of characteristics common within each set of characteristics of each microbe; and

in response to the subset of characteristics comprising a first growth condition linked to food, predicting a food-based causal pathway associated with presence of contaminated food in the indoor environment;

wherein identifying the first mitigation action linked to suppression of the first causal pathway comprises, in response to predicting the food-based causal pathway, identifying a food-based mitigation action linked to suppression of the food-based causal pathway, the food-based mitigation action comprising a cleaning regimen configured to suppress the food-based causal pathway; and

wherein generating the prompt to execute the first mitigation action in the indoor environment comprises, in response to identifying the food-based mitigation action, generating the prompt to execute the cleaning regimen in a set of regions of the indoor environment associated with food storage.

6 . The method of claim 5 :

wherein predicting the first causal pathway based on characteristics common within the first subset of microbes comprises, in response to the set of characteristics corresponding to a second growth condition linked to soil, predicting a soil-based causal pathway associated with presence of soil in the indoor environment;

wherein identifying the first mitigation action linked to suppression of the first causal pathway further comprises, in response to predicting the soil-based causal pathway, identifying a soil-based mitigation action linked to suppression of the soil-based causal pathway, the soil-based mitigation action comprising placement of a set of mats configured to limit soil transfer onto floors throughout the indoor environment; and

wherein generating the prompt to execute the first mitigation action in the indoor environment further comprises, in response to identifying the soil-based mitigation action, generating the prompt to locate the set of mats in a set of entryways of the indoor environment.

7 . The method of claim 1 :

wherein predicting the first causal pathway based on characteristics common within the first subset of microbes comprises:

for each microbe, in the set of microbes, accessing a set of characteristics of the microbe;

identifying a subset of characteristics common within each set of characteristics of each microbe; and

in response to the subset of characteristics comprising a first transfer condition associated with airborne transfer, predicting an occupancy-based causal pathway associated with human occupancy levels and linked to the first transfer condition;

wherein identifying the first mitigation action linked to suppression of the first causal pathway comprises, in response to predicting the occupancy-based causal pathway, identifying an occupancy-based mitigation action linked to suppression of the occupancy-based causal pathway, the occupancy-based mitigation action comprising implementation of a threshold human occupancy density in the indoor environment; and

wherein generating the prompt to execute the first mitigation action in the indoor environment comprises, in response to identifying the occupancy-based mitigation action, generating the prompt to regulate human occupancy density, in the indoor environment, below the threshold human occupancy density.

8 . The method of claim 1 , further comprising:

accessing a second timeseries of pathogen data:

derived from a second series of pathogen samples collected by the air sampler during a second time period succeeding the first time period; and

representing levels of the set of microbes;

for each microbe, in the set of microbes, deriving a second population curve, in a second set of population curves, representing changes in population of the microbe present in the indoor environment during the second period based on the second timeseries of pathogen data; and

for the first subset of microbes:

characterizing a difference between the first subset of population curves and a second subset of population curves, in the second set of population curves, corresponding to the first subset of microbes; and

based on the difference, confirming efficacy of the first mitigation action.

9 . The method of claim 8 :

wherein characterizing the difference between the first subset of population curves and the second subset of population curves comprises:

for each microbe in the first subset of microbes, characterizing a microbe difference, in a set of microbe differences, between a first population curve, in the first subset of population curves, and a second population curve, in the second subset of population curves, the first population curve and the second population curve corresponding to the microbe; and

characterizing a total difference based on the set of microbe differences; and

wherein confirming efficacy of the first mitigation action based on the difference comprises:

for each microbe, in the first subset of microbes, in response to the microbe difference exceeding a threshold difference defined for the microbe, confirming efficacy of the first mitigation action for suppressing population growth of the microbe; and

based on the total difference, confirming efficacy of the first mitigation action for suppressing the first causal pathway.

10 . The method of claim 1 further comprising:

accessing a second timeseries of pathogen data:

derived from a second series of pathogen samples collected by the air sampler during a second time period succeeding the first time period; and

representing levels of the set of microbes;

for each microbe, in the set of microbes, deriving a second population curve, in a second set of population curves, representing changes in population of the microbe present in the indoor environment during the second period based on the second timeseries of pathogen data; and

for each microbe, in a second subset of microbes in the set of microbes and excluding microbes in the first subset of microbes:

characterizing a difference, in a set of differences, between the first population curve, representing changes in population of the microbe present in the indoor environment during the first time period, and the second population curve, representing changes in population of the microbe present in the indoor environment during the first time period; and

in response to the difference exceeding a threshold difference defined for the microbe, associating the microbe with the first causal pathway.

11 . The method of claim 1 :

wherein transmitting the prompt to the user comprises transmitting the prompt to the user at a first time succeeding the first time period; and

further comprising:

receiving confirmation of execution of the first mitigation action in the indoor environment from the user at a second time succeeding the first time;

accessing a second timeseries of pathogen data:

derived from a second series of pathogen samples collected by the air sampler during a second time period succeeding the second time; and

representing levels of the set of microbes;

for each microbe, in the set of microbes, deriving a second population curve, in a second set of population curves, representing changes in population of the microbe present in the indoor environment during the second time period based on the second timeseries of pathogen data;

based on the second set of population curves, deriving an efficacy model representing change in efficacy of the first mitigation action in regulating populations of the first subset of microbes over time; and

for a first microbe, in the first subset of microbes, predicting a microbe level, of the first microbe, falling below a threshold microbe level at a third time, succeeding the second time period, based on a current microbe level of the first microbe and the efficacy model.

12 . A method comprising:

accessing a first timeseries of pathogen data for a first pathogen, in a set of pathogens, and derived from a series of pathogen samples collected during a first time period by an air sampler installed in an indoor environment;

characterizing a first pathogen profile, in a first set of pathogen profiles, of the indoor environment during the first time period based on the first timeseries of pathogen data, the first pathogen profile representative of changes in pathogen level of the first pathogen in the indoor environment during the first time period;

accessing a baseline pathogen profile of the indoor environment, the baseline pathogen profile representative of changes in pathogen levels of the set of pathogens during an initial time period preceding the first time period;

characterizing a first difference between the first pathogen profile and the baseline pathogen profile; and

in response to the first difference exceeding a threshold difference:

selecting a first mitigation action, in a set of mitigation actions, configured to reduce pathogen levels of the first pathogen, based on the first difference;

generating a prompt to execute the first mitigation action in the indoor environment; and

transmitting the prompt to a user associated with the indoor environment.

13 . The method of claim 12 :

wherein accessing the first timeseries of pathogen data for the first pathogen and derived from the series of pathogen samples collected from the indoor environment comprises accessing the first timeseries of pathogen data comprising:

a first pathogen level of the first pathogen detected in a first pathogen sample, in the series of pathogen samples, collected from the indoor environment during a first sampling period within the first time period; and

a second pathogen level of the first pathogen detected in a second pathogen sample, in the series of pathogen samples, collected from the indoor environment during a second sampling period, preceding the first sampling period, within the first time period; and

wherein characterizing the first difference between the first pathogen profile and the baseline pathogen profile comprises:

calculating an average pathogen level of the first pathogen during the first time period based on the first pathogen level and the second pathogen level;

accessing an average baseline pathogen level of the first pathogen during the initial time period and defined by the baseline pathogen profile; and

calculating a first deviation of the average pathogen level from the average baseline pathogen level.

14 . The method of claim 13 :

wherein accessing the baseline pathogen profile of the indoor environment comprises accessing the baseline pathogen profile of the indoor environment comprising an initial timeseries of pathogen data for the first pathogen and derived from an initial series of pathogen samples collected from the indoor environment during the initial time period;

wherein accessing the average baseline pathogen level of the first pathogen during the initial time period and defined by the baseline pathogen profile comprises calculating the average baseline pathogen level of the first pathogen during the initial time period based on the initial timeseries of pathogen data; and

wherein selecting the first mitigation action in response to the first difference exceeding the threshold difference comprises:

calculating a standard deviation in pathogen level of the first pathogen during the initial time period from the average baseline pathogen level based on the initial timeseries of pathogen data;

defining the threshold difference as the standard deviation; and

in response to the deviation exceeding the standard deviation, selecting the first mitigation action.

15 . The method of claim 12 :

wherein accessing the first timeseries of pathogen data for the first pathogen and derived from the series of pathogen samples collected from the indoor environment during the first time period comprises accessing the first timeseries of pathogen data comprising a first pathogen level of the first pathogen and derived from a first pathogen sample, in the series of pathogen samples, collected from the indoor environment during a first sampling period within the first time period; and

further comprising, during the first time period, in response to the first pathogen level exceeding a threshold pathogen level defined for the first pathogen in the indoor environment:

generating a notification indicating detection of presence of the first pathogen in the indoor environment; and

transmitting the notification to a user associated with the environment.

16 . The method of claim 12 :

wherein accessing the first timeseries of pathogen data for the first pathogen and derived from the series of pathogen samples collected from the indoor environment comprises accessing the first timeseries of pathogen data comprising:

a first pathogen level of the first pathogen detected in a first pathogen sample, in the series of pathogen samples, collected from the indoor environment during a first sampling period within the first time period; and

a second pathogen level of the first pathogen detected in a second pathogen sample, in the series of pathogen samples, collected from the indoor environment during a second sampling period, succeeding the first sampling period, within the first time period; and

further comprising:

calculating a correlation between the first pathogen profile and the baseline pathogen profile; and

predicting a third pathogen level of the first pathogen in a third pathogen sample collected during a third sampling period succeeding the second sampling period based on the first pathogen profile and the correlation.

17 . The method of claim 16 , further comprising, in response to the third pathogen level exceeding a threshold pathogen level defined for the first pathogen in the indoor environment:

generating a notification indicating prediction of the third pathogen level of the first pathogen during the sampling period; and

transmitting the notification to a user associated with the indoor environment.

18 . The method of claim 12 :

wherein accessing the baseline pathogen profile comprises accessing the baseline pathogen profile comprising:

a first preceding pathogen profile of the first pathogen; and

a second preceding pathogen profile of a second pathogen in the set of pathogens;

wherein characterizing the first difference between the first pathogen profile and the baseline pathogen profile comprises characterizing the first difference between the first pathogen profile and the first preceding pathogen profile;

further comprising:

accessing a second timeseries of pathogen data for the second pathogen and derived from the series of pathogen samples;

characterizing a second pathogen profile, in the first set of pathogen profiles, of the indoor environment during the first time period based on the second timeseries of pathogen data, the second pathogen profile representative of changes in pathogen level of the second pathogen in the indoor environment during the first time period; and

characterizing a second difference between the second pathogen profile and the second preceding pathogen profile; and

wherein selecting the first mitigation action based on the first difference comprises:

in response to the first difference exceeding the threshold difference and the second difference falling below the threshold difference, selecting the first mitigation action;

in response to the second difference exceeding the threshold difference and the first difference falling below the threshold difference, selecting a second mitigation action, in the set of mitigation actions, configured to reduce pathogen levels of the second pathogen; and

in response to the first difference exceeding the threshold difference and in response to the second difference exceeding the threshold difference, selecting a third mitigation action, in the set of mitigation actions, configured to reduce pathogen levels of the first pathogen and the second pathogen.

19 . The method of claim 12 :

further comprising accessing a first timeseries of environmental data corresponding to a set of environmental conditions in the indoor environment during the first time period; and

wherein accessing the baseline pathogen profile comprises:

accessing a pathogen model linking the set of environmental conditions to detected pathogen levels of the set of pathogens in the indoor environment; and

calculating the baseline pathogen profile based on the first timeseries of environmental data and the pathogen model.

20 . The method of claim 12 , further comprising, in response to transmitting the prompt to implement the first mitigation action to the user:

accessing a second timeseries of pathogen data for the first pathogen and derived from a second series of pathogen samples collected from the indoor environment during a second time period succeeding the first time period;

characterizing a second pathogen profile for the indoor environment during the second time period based on the second timeseries of pathogen data;

characterizing a reduction of the first pathogen in the indoor environment based on a difference between the second pathogen profile and the first pathogen profile;

in response to the reduction of the first pathogen exceeding a threshold reduction, confirming efficacy of the first mitigation action; and

in response to the reduction falling below the threshold reduction, selecting a second mitigation action in replacement of the first mitigation action, configured to mitigate pressures of the first pathogen in the indoor environment.

Assignments (2)

Continuity (2)

References Cited (29)