Disease surveillance methods using artificial intelligence Essay Example

  • Category:
    Geography
  • Document type:
    Assignment
  • Level:
    Undergraduate
  • Page:
    2
  • Words:
    1132

5HEALTH GEOGRAPHY

Health Geography

Name:

Health Geography

Article One

Article Summary

  • The objective of Rajabi (2015) article was to address problems related to the techniques of disease surveillance such as disease spread and risk mapping through adoption of artificial intelligence (AI) techniques in environments that are spatially explicit.

How the Author Utilized Output from the Method

  • he author utilized spatial epidemiology with the objective of preparing a framework whereby different disease (epidemic) aspects could be explored and utilized for disease surveillance as well as making preventive decisions that are appropriate. As the author points out, geographical correlation and map visualization techniques prepare the modeling input and risk mapping of the diseases considered necessary. Therefore, ecological analysis and statistical methods were utilized in geographical correlation techniques. T

How the Author Utilized Non-Text Material the Input Data and the Results of the Analysis

  • , which is the case study area. Cutaneous LeishmaniasisHe uses illustrations to show to package data into in a way that it can be interpreted easily.
    non-text material needs a less training data volume as compared to the other artificial neural networks. The RBFLN, according to the author, is suitable for disease predictive mapping because it can summaries a large volume of information into a smaller volume. The author uses because itRadial Basis Functional Link Nets (RBFLN), which was utilized in the study eneral structure of The author utilizes a diagram showing the gThe author utilized a number of diagrams to demonstrate how Artificial intelligence (AI), as a computer system could be utilized as a logical process for developing and learning the surrounding environment and the past errors.

Bibliography

Rajabi, M. (2015). Disease susceptibility mapping using spatial modeling techniques. Lund University, Lund.

Article Two

Article Summary

  • utbreaks in the Chinese mainland with the objective of offering important information that could be used to develop suitable and effective countermeasures.H5N1 Avian Influenza o examine the environmental factors related to Fang et al. (2008)In their article,

How the Author Utilized Output from the Method

  • The authors developed a database, which had incident locations and dates for 128 confirmed cases of HPAI H5N1 outbreaks in both wild birds and poultry, and some human cases in Chinese mainland between 2004 and 2006. This database was integrated into a case-control design with the objective of determining the environmental factors related to the disease incidence. In addition, the authors utilized multivariate logistic regression analysis to determine the distance between annual precipitation, nearby national highway, as well as information on how the distance to the nearby wetland and lake were crucial HPAI risk’s predictive environmental variables. These factors enabled the authors to construct a risk map.

How the Author Utilized Non-Text Material the Input Data and the Results of the Analysis

  • The author utilized a number of diagrams and tables to summaries the case-control study results with the aim of outlining the environmental variables that contribute to the HPAI H5N1 virus spread of in the mainland China. The authors utilize a diagram to demonstrate the spatial HPAI H5N1 outbreaks distribution in Chinese wild birds and poultry as well as human cases. Besides that, the authors use non-text material to exhibit the HPAI H5N1 outbreaks predictive risk map amongst the birds. The author also uses numerous tables to exhibit the connection between influential factors and H5N1 outbreaks through logistic regression analysis. They utilize the tables to present a numerical data quantity in an accessible format.

Bibliography

Fang, L.-Q., Vlas, S. J., Liang, S., Looman, C. W., Gong, P., Xu, B., . . . Cao, J. H.-C. (2008). Environmental Factors Contributing to the Spread of H5N1 Avian Influenza in Mainland China. PLoS ONE, 3(5), 1-6.

Article Three

Article Summary

  • In Glass et al. (1995), they utilized geographic information system (GIS) in order to locate and identify Lyme disease’s residential environmental risk factors. The authors also combined geographic GIS with epidemiologic techniques in order to identify zoonotic disease’s risk factors rapidly in large areas.

How the Author Utilized Output from the Method

  • The authors utilized the data that they obtained from Lyme disease case patients to determine how GIS can be utilized to locate and identify risk factors associated with infectious diseases. The authors generated risk model by integrating GIS with logistic regression analysis, and then compared the cases of distribution with addresses selected randomly in order to validate the model.

How the Author Utilized Non-Text Material the Input Data and the Results of the Analysis

  • ables as a way of summarizing their results from statistical analysis; for instance, they utilize they utilize a table to highlight the Environmental Variables’ adjusted and crude Odds Ratios. GIS could be useful in recognizing environmental risk factors related to infectious diseases such as vector-borne. By integrating the epidemiologic analysis and geographic information system, the authors we able to accurately study the spatial disease patterns over a large geographic areas. They utilized tThe authors utilized tables and diagrams to summaries the results achieved through statistical analysis. Furthermore, they utilized non-text material to demonstrate how

Bibliography

Glass, G. E., Schwartiz, B. S., Moigan, J. M., Johnson, D. T., Nov, P. M., & Israel, E. (1995). Environmental Risk Factors for Lyme Disease Identified with Geographic Information Systems. American Journal of Public Health, 85(7), 944-948.

Article Four

Article Summary

Lambin, Tran, Vanwambeke, Linard, and Soti (2010) examine the key findings from their eight case studies that was carried out in West Africa as well as Europe on the effects associated with land changes on zoonoses and/or vector-borne diseases.

How the Author Utilized Output from the Method

The authors utilized analytic tools for the eight case studies and also developed different techniques with the aim of understanding the interactions between vectors, land change, human hosts, as well as animal hosts. These tools enable the authors to model spatial interactions and to associate different disease systems components across space. The tools were crucial for creating an integrated disease systems approach that enabled the authors to generate comprehensive land cover maps.

How the Author Utilized Non-Text Material the Input Data and the Results of the Analysis

  • static view of the landscapes pathogenecity overlays maps demonstrating the vectors spatial distribution. It also enabled the authors to offer a dynamic view highlighting the temporal and spatial interactions between various agents at different scales. The authors utilized tables to describe their eight case studies and also to demonstrate the propositions validation. They utilized diagrams to show the mosquito Anopheles hyrcanus Larval index map achieved through a statistical model. They also utilized diagrams to show the landscape determinants’ graphical representation of the disease transmission. Non-text materials enabled the authors to offer a

Bibliography

Lambin, E. F., Tran, A., Vanwambeke, S. O., Linard, C., & Soti, V. (2010). Pathogenic landscapes: Interactions between land, people, disease vectors, and their animal hosts. International Journal of Health Geographics, 9, 1-13.