CN114582507A - Method for analyzing environmental risk factors of alveolar echinococcosis based on geographic detector - Google Patents

Method for analyzing environmental risk factors of alveolar echinococcosis based on geographic detector Download PDF

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CN114582507A
CN114582507A CN202210209079.3A CN202210209079A CN114582507A CN 114582507 A CN114582507 A CN 114582507A CN 202210209079 A CN202210209079 A CN 202210209079A CN 114582507 A CN114582507 A CN 114582507A
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alveolar echinococcosis
distribution
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付永
郭志宏
朵红
沈秀英
张学勇
李志�
马怡隽
孟茹
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Qinghai Academy of Animal Science and Veterinary Medicine
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    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract

The invention discloses a geographic detector-based method for analyzing environmental risk factors of alveolar echinococcosis, which comprises the following steps: acquiring a plurality of environmental factors of the position of each monitoring point in the natural source of the alveolar echinococcosis, and calculating the influence of each environmental factor on the distribution and propagation of the alveolar echinococcosis; by comparing the interaction of the influence of any two environmental factors on the distribution and propagation of the alveolar echinococcosis, judging whether the two environmental factors act on the distribution and propagation of the alveolar echinococcosis independently or have a trend of interaction enhancement or interaction attenuation; detecting a potential epidemic risk area of the alveolar echinococcosis by comparing the significance difference of the mean values of the environmental factor related research attributes in any two partitions; and (3) judging whether the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis is significantly different. The invention accurately reveals the spatial differentiation rule of the influence of the geographical environment risk factors on the distribution and propagation of the natural epidemic vesicular echinococcosis by a geographical detector statistical method.

Description

Method for analyzing environmental risk factor of alveolar echinococcosis based on geographic detector
Technical Field
The invention relates to the technical field of parasite environmental risk detection, in particular to a geographic detector-based method for analyzing environmental risk factors of alveolar echinococcosis.
Background
The alveolar echinococcosis is a natural epidemic zoonosis parasitic disease caused by the infection of Echinococcus multilocularis larvae, and seriously influences the health and economic development of people in wide epidemic areas. Research shows that the distribution and infection of the alveolar echinococcosis are closely related to environmental factors such as local temperature, altitude, precipitation, soil, vegetation types and the like. Through traditional epidemiological investigation, although the distribution and the propagation characteristics of natural epidemic alveolar echinococcosis can be known, the potential interference effect of natural environmental factors of natural epidemic alveolar echinococcosis is ignored, the instantaneity, the accuracy and the reliability of data are greatly limited, especially, the regional investigation with special significance on environmental factors such as high and cold is difficult, and a blank of data information often exists.
Therefore, the technical personnel in the field need to solve the problem of how to provide an analysis method capable of accurately revealing the spatial differentiation rule of the influence of the geographical environment risk factors on the distribution and propagation of the natural epidemic alveolar echinococcosis.
Disclosure of Invention
In view of the above, the invention provides a geographic detector-based method for analyzing the environmental risk factor of alveolar echinococcosis, which closely surrounds the basic etiology characteristics of natural epidemic alveolar echinococcosis, and accurately reveals the spatial differentiation rule of the influence of the geographic environment risk factor on the distribution and propagation of natural epidemic alveolar echinococcosis through a geographic detector statistical method.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for analyzing an environmental risk factor of alveolar echinococcosis based on a geographic detector comprises the following steps:
acquiring a plurality of environmental factors of the position of each monitoring point in the natural source of the alveolar echinococcosis, and calculating the influence of each environmental factor on the distribution and propagation of the alveolar echinococcosis;
by comparing the interaction of the influence of any two environmental factors on the distribution and propagation of the alveolar echinococcosis, judging whether the two environmental factors act independently on the distribution and propagation of the alveolar echinococcosis or have a trend of interaction enhancement or interaction weakening;
detecting a potential epidemic risk area of the alveolar echinococcosis by comparing the significance difference of the mean values of the environmental factor related researches in any two subareas;
and (3) judging whether the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis is significantly different.
Further, in the above analysis method for environmental risk factors of alveolar echinococcosis based on geographic detector, the calculation formula of the influence of each environmental factor on the distribution and propagation of alveolar echinococcosis is:
Figure BDA0003532380310000021
wherein q isiThe influence of a certain environmental factor on the distribution and propagation of the alveolar echinococcosis; the value range of q is between 0 and 1, the larger the value of q is, the larger the influence of a certain environmental factor on the distribution and propagation of the alveolar echinococcosis is, otherwise, the smaller the influence is; 1, 2, … n, which is a research region geographical environment partition; n is a radical ofiThe corresponding number of the environmental factors in the partition i; n is the total number of environmental factors in the research area;
Figure BDA0003532380310000022
and σ2Are respectively provided withIs the partition i and the whole-area discrete variance.
Further, in the analysis method for the environmental risk factor of the hydatid disease based on the geographic detector, the types of the environmental factors at least comprise the altitude, the landform, the terrain, the climate, the precipitation and the vegetation in the habitat of the hydatid disease.
Further, in the above analysis method for environmental risk factors of alveolar echinococcosis based on geographic detector, the basis for judging whether any two environmental factors act independently on distribution and propagation of alveolar echinococcosis or have interactive enhancement or interactive reduction trend is as follows:
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is smaller than the smaller value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, judging that the two environmental factors have a double-factor nonlinear attenuation trend;
if the interactive influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the smaller value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently and smaller than the larger value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are proved to have a single-factor nonlinear attenuation trend;
if the interactive influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the larger value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are proved to have a double-factor enhancement trend;
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is equal to the sum of the influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are mutually independent;
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the sum of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors have a two-factor nonlinear enhancement trend.
Further, in the above analysis method for environmental risk factors of alveolar echinococcosis based on a geographic detector, the calculation formula for comparing the significance difference of the mean values of the relevant research attributes of the environmental factors in any two partitions is as follows:
Figure BDA0003532380310000031
wherein t represents the statistic of significance difference of the environmental factor mean values in different partitions, and the t approximately follows Student's t distribution;
Figure BDA0003532380310000032
respectively representing the mean values of the research attributes of different partitions; n ish=1、nh=2Representing the number of environmental factors in different partitions, and Var representing variance; null hypothesis H0
Figure BDA0003532380310000033
If H is rejected at a confidence level alpha0Then, the mean values of the study attributes between 2 different partitions are considered to be significantly different.
Further, in the analyzing method for the environmental risk factors of the alveolar echinococcosis based on the geographic detector, a calculation formula for measuring whether the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis has a significant difference is as follows:
Figure BDA0003532380310000034
wherein F represents the statistic of the significance difference of the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis; n is a radical ofX1、NX2Representing the number of the research geographical partitions in which the X1 and X2 environmental factor variables are located;
Figure BDA0003532380310000035
and
Figure BDA0003532380310000036
represents the sum of the intra-zone variances of the partitions formed by X1 and X2, respectively, and n1 and n2 represent the number of partitions of the environment factor variables X1 and X2, respectively; null hypothesis H0
Figure BDA0003532380310000041
If H is rejected at the significance level of alpha0It is considered that the 2 environmental factors have significantly poor influence on the spatial distribution of alveolar echinococcosis.
According to the technical scheme, compared with the prior art, the invention discloses and provides a geographic detector-based alveolar echinococcosis environment risk factor analysis method, which adopts statistical methods such as factor detection, interactive detection, risk detection and ecological detection in the geographic detector to perform subarea detection on the influence strength, interaction, risk judgment and spatial distribution difference of the natural epidemic location environment factors of the alveolar echinococcosis, identifies the natural epidemic alveolar echinococcosis habitat environment risk factor, analyzes the size and interaction relation of the influence on the distribution and propagation of the alveolar echinococcosis, and analyzes the natural epidemic alveolar echinococcosis geographic environment risk factor determination power and the spatial differentiation rule of the interaction. The invention closely surrounds the basic characteristics of the etiology of the natural epidemic vesicular echinococcosis, on the basis of mainly analyzing the distribution and propagation influence of the geographical environment of the natural epidemic vesicular echinococcosis on the natural epidemic vesicular echinococcosis, the spatial differentiation rule of the influence of the geographical environment risk factors on the distribution and the propagation of the natural epidemic alveolar echinococcosis is revealed by a geographical detector statistical method, the influence degree of a single environmental factor on the spatial distribution of the natural epidemic alveolar echinococcosis can be evaluated, the interaction of different environmental driving factors on the propagation of the natural epidemic alveolar echinococcosis can be taken into consideration, can fully ensure the accuracy of the environmental risk factors of the natural epidemic focus of the alveolar echinococcosis on the spatial distribution and the propagation influence of the natural epidemic focus of the alveolar echinococcosis, can provide new scientific data for further exploring natural epidemic spread mechanism of the alveolar echinococcosis.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of the method for analyzing the environmental risk factor of alveolar echinococcosis based on a geographic detector provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the embodiment of the invention discloses a geographic detector-based method for analyzing environmental risk factors of alveolar echinococcosis, which comprises the following steps:
factor detection: acquiring a plurality of environmental factors of the position of each monitoring point in the natural source of the alveolar echinococcosis, and calculating the influence of each environmental factor on the distribution and propagation of the alveolar echinococcosis;
and (3) interactive detection: by comparing the interaction of the influence of any two environmental factors on the distribution and propagation of the alveolar echinococcosis, judging whether the two environmental factors act independently on the distribution and propagation of the alveolar echinococcosis or have a trend of interaction enhancement or interaction weakening;
risk detection: detecting a potential epidemic risk area of the alveolar echinococcosis by comparing the significance difference of the mean values of the environmental factor related research attributes in any two partitions;
ecological detection: and (3) judging whether the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis is significantly different.
The above steps are further described below.
1. Factor detection: the embodiment of the invention measures the spatial heterogeneity and the interpretability of each environmental factor by calculating the q statistic. The q value range is between 0 and 1, the larger the q value is, the larger the influence of a certain environmental factor on the distribution and propagation of the alveolar echinococcosis is, and otherwise, the smaller the influence is. The calculation formula is as follows,
Figure BDA0003532380310000051
in the formula: q is the influence of a certain environmental factor on the distribution and propagation of the alveolar echinococcosis, i is 1, 2, …, and n is a research region geographical environment partition; ni is the corresponding number of environmental factors (including environmental factors such as altitude, landform, terrain, climate, precipitation, vegetation and the like in the alveolar echinococcosis habitat) in the partition i; n is the total number of environmental factors in the research area;
Figure BDA0003532380310000052
and σ2Respectively, partition i and the full intra-area discrete variance.
2. And (3) interactive detection: by comparing the interaction of the 2 environmental factors A and B in the alveolar echinococcosis habitat on the distribution and propagation influence of the alveolar echinococcosis, whether the two independently act on the distribution and propagation of the alveolar echinococcosis or have an interaction enhancement or attenuation trend is judged, and the specific judgment basis is as follows:
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is smaller than the smaller value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, judging that the two environmental factors have a double-factor nonlinear attenuation trend;
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the smaller value of the distribution and propagation influence of the two environmental factors on the alveolar echinococcosis and smaller than the larger value of the distribution and propagation influence of the two environmental factors on the alveolar echinococcosis, the two environmental factors are indicated to have a single-factor nonlinear attenuation trend;
if the interactive influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the larger value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are indicated to have a double-factor enhancement trend;
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is equal to the sum of the influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are mutually independent;
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the sum of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors have a two-factor nonlinear enhancement trend.
The specific comparison results and partition types are shown in table 1.
TABLE 1 type partitioning of Interactive probing results for Dual environmental factors
Criterion Interaction relationships
q(A∩B)<Min(q(A),q(B)) Two factor nonlinear attenuation
Min(q(A),q(B))<q(A∩B)<Max(q(A),q(B)) One-factor nonlinear attenuation
q(A∩B)>Max(q(A),q(B)) Two factor enhancement
q(A∩B)=q(A)+q(B) Two factors being independent of each other
q(A∩B)>q(A)+q(B) Two factor non-linear enhancement
Wherein q is the influence of a certain environmental factor on the distribution and propagation of the alveolar echinococcosis; a and B represent 2 different environmental factors in the alveolar echinococcosis habitat.
3. And (3) risk detection: the embodiment of the invention detects the potential epidemic risk area of natural epidemic vesicular echinococcosis by comparing the significance difference of the related research attribute mean values of the environmental factors in each subarea, and the test formula is represented by using t statistic as follows:
Figure BDA0003532380310000071
wherein t represents the statistic of significance difference of the environmental factor mean values in different partitions, and the t approximately follows Student's t distribution;
Figure BDA0003532380310000072
respectively representing the mean values of the research attributes of different partitions; n ish=1、nh=2Representing the number of environmental factors in different partitions, and Var representing variance; null hypothesis H0
Figure BDA0003532380310000073
If H is rejected at a confidence level alpha0Then the mean values of the study attributes between 2 different partitions are considered to be significantly different.
4. Ecological detection: the embodiment of the invention evaluates whether the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis has significant difference through F test, and the formula is as follows,
Figure BDA0003532380310000074
wherein F represents the statistic of the significance difference of the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis; n is a radical ofX1、NX2Representing the number of the research geographical partitions in which the X1 and X2 environmental factor variables are located;
Figure BDA0003532380310000075
and
Figure BDA0003532380310000076
represents the sum of the intra-zone variances of the partitions formed by X1 and X2, respectively, and n1 and n2 represent the number of partitions of the environment factor variables X1 and X2, respectively; null hypothesis H0
Figure BDA0003532380310000077
If H is rejected at the significance level of alpha0Then, it is considered that the 2 environmental factors have a significantly poor influence on the spatial distribution of alveolar echinococcosis.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (6)

1. A geographic detector-based method for analyzing environmental risk factors of alveolar echinococcosis is characterized by comprising the following steps:
acquiring a plurality of environmental factors of the position of each monitoring point in the natural source of the alveolar echinococcosis, and calculating the influence of each environmental factor on the distribution and propagation of the alveolar echinococcosis;
by comparing the interaction of the influence of any two environmental factors on the distribution and propagation of the alveolar echinococcosis, judging whether the two environmental factors act independently on the distribution and propagation of the alveolar echinococcosis or have a trend of interaction enhancement or interaction weakening;
detecting a potential epidemic risk area of the alveolar echinococcosis by comparing the significance difference of the mean values of the environmental factor related research attributes in any two partitions;
and (3) judging whether the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis is significantly different.
2. The method for analyzing the environmental risk factors of alveolar echinococcosis based on the geographic detector as claimed in claim 1, wherein the calculation formula of the influence of each environmental factor on the distribution and propagation of alveolar echinococcosis is as follows:
Figure FDA0003532380300000011
wherein q isiThe influence of a certain environmental factor on the distribution and propagation of the alveolar echinococcosis; the value range of q is between 0 and 1, the larger the value of q is, the larger the influence of a certain environmental factor on the distribution and propagation of the alveolar echinococcosis is, otherwise, the smaller the influence is; 1, 2, … n, which is a research region geographical environment partition; n is a radical ofiThe corresponding number of the environmental factors in the partition i; n is the total number of environmental factors in the research area;
Figure FDA0003532380300000012
and σ2Respectively, partition i and the full intra-area discrete variance.
3. The method for analyzing the environmental risk factor of alveolar echinococcosis based on the geographic detector as claimed in claim 1, wherein the types of the environmental factors at least include altitude, landform, terrain, climate, precipitation and vegetation in the habitat of alveolar echinococcosis.
4. The method for analyzing the environmental risk factors of alveolar echinococcosis based on the geographic detector as claimed in claim 1, wherein the judgment of whether the distribution and propagation of alveolar echinococcosis act independently or have the trend of interaction enhancement or interaction reduction by any two environmental factors is based on:
if the interaction influence of the two environmental factors on the distribution and propagation influences of the alveolar echinococcosis is smaller than the smaller value of the distribution and propagation influences of the two environmental factors on the alveolar echinococcosis, judging that the two environmental factors have a double-factor nonlinear attenuation trend;
if the interactive influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the smaller value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently and smaller than the larger value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are proved to have a single-factor nonlinear attenuation trend;
if the interactive influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is larger than the larger value of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are proved to have a double-factor enhancement trend;
if the interaction influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis is equal to the sum of the influence of the two environmental factors on the distribution and propagation influence of the alveolar echinococcosis independently, the two environmental factors are mutually independent;
if the interaction influence of the two environmental factors on the distribution and the propagation of the alveolar echinococcosis is larger than the sum of the influence of the two environmental factors on the distribution and the propagation of the alveolar echinococcosis alone, the two environmental factors have a double-factor nonlinear enhancement trend.
5. The environmental risk factor analysis method for alveolar echinococcosis based on geographic detector as claimed in claim 1, wherein the formula for calculating the significance difference of the mean values of the environmental factor correlation study attributes in any two zones is:
Figure FDA0003532380300000021
wherein t represents the statistic of significance difference of the environmental factor mean values in different partitions, and the t approximately follows Student's t distribution;
Figure FDA0003532380300000022
respectively representing the mean values of the research attributes of different partitions; n ish=1、nh=2Representing the number of environmental factors in different partitions, and Var representing variance; null hypothesis H0
Figure FDA0003532380300000023
If H is rejected at a confidence level alpha0Then, the mean values of the study attributes between 2 different partitions are considered to be significantly different.
6. The method for analyzing the environmental risk factors of alveolar echinococcosis based on the geographic detector as claimed in claim 1, wherein the calculation formula for determining whether the influence of each environmental factor on the spatial distribution of alveolar echinococcosis has significant difference is as follows:
Figure FDA0003532380300000024
wherein F represents the statistic of the significance difference of the influence of each environmental factor on the spatial distribution of the alveolar echinococcosis; n is a radical ofX1、NX2Representing the number of the research geographical partitions in which the X1 and X2 environmental factor variables are located;
Figure FDA0003532380300000031
and
Figure FDA0003532380300000032
represents the sum of the intra-region variances of the partitions formed by X1 and X2, respectively, and n1 and n2 represent the number of environment factor variable X1 and X2 partitions, respectively; null hypothesis H0
Figure FDA0003532380300000033
If H is rejected at the significance level of alpha0It is considered that the 2 environmental factors have significantly poor influence on the spatial distribution of alveolar echinococcosis.
CN202210209079.3A 2022-03-04 2022-03-04 Method for analyzing environmental risk factors of alveolar echinococcosis based on geographic detector Pending CN114582507A (en)

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