Infectious disease surveillance system

• US 7,840,421 B2
• Filed: 07/31/2002
• Issued: 11/23/2010
• Est. Priority Date: 07/31/2002
• Status: Expired due to Fees

• Current Assignee: Otto Carl Gerntholtz
• Original Assignee: Otto Carl Gerntholtz
• Inventors: Gerntholtz, Otto Carl
• Primary Examiner(s): O'Connor; Gerald J.
• Assistant Examiner(s): ALTSCHUL, AMBER L
• Application Number:
  US10/209,542
• Publication Number:
  US 20040024612A1
• Time in Patent Office: 3,037 Days
• Field of Search: 705/2, 705/3, 705/4
• US Class Current: 705/3
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: G16H 70/60 relating to pathologies
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

An infectious disease surveillance system is disclosed, which comprises a database system for storing data relating to at least one infectious disease; input means for providing data to the database system; a complex adaptive system associated with the database system; processing means for processing the data of the database system and converting the data into surveillance data; and output means for displaying the surveillance data.

Claims

1. An infectious disease surveillance system, which comprises:

(a) a database system for storing data relating to at least one infectious disease;

(b) input means for providing biological data to the database system, said input means being remote from the database system and configured to be mobile;

(c) computer processing means associated with the database system and for processing biological data of the database system and converting the processed data into surveillance data;

(d) a computational complex adaptive system being operatively associated with the computer processing means and being associated with the database system, the complex adaptive system configured for adapting continuously according to the biological data provided by the input means and the surveillance data;

(e) at least one model selected from the group comprising an analytical model and an empirical model associated with the complex adaptive system, the model having parameters which are capable of being continuously adapted;

(f) output means for displaying the surveillance data generally instantly after said input means provides said biological data to said database system; and

(g) decision-making means, responsive to said surveillance data, for making policy decisions regarding the surveillance data.

12. A system as claimed in claim 1, which comprises pharmaceutical data relating to any one selected from the group comprising genetic differences of patients infected with the infectious disease, pharmaceutical interactions, pharmaceutical-disease interactions, effects of placebos, and pharmaceutical treatment compliance.

13. A system as claimed in claim 1, which comprises constraint data relating to the infectious disease and methods for combating the infectious disease.

15. A system as claimed in claim 1, in which the database system comprises data selected from the group comprising biological data of the infectious disease, data relating to combating of the infectious disease, and data relating to interactions of intellectual property factors and combating methods of the infectious disease.

16. A system as claimed in claim 1, which comprises data relating to any one selected from the group comprising classification of diseases, history of diseases, origins of diseases, functioning and pathogenesis of diseases, symbiotic infections, commensal infections, parasitic infections, causes of diseases, transmission modes of diseases, susceptibility of people to diseases, frequency of diseases, severity of diseases, impact of diseases, duration of diseases, duration of infection with diseases, symptoms of diseases, diagnosis of diseases, interactions of diseases, epidemic nature of diseases, defence mechanism of organisms to combat diseases, immunodeficiency diseases, primary immunodeficiency diseases, secondary immunodeficiency diseases, congenital immunodeficiency diseases, acquired immunodeficiency diseases, allergic reactions, sexually transmitted diseases, immune system of organisms, viral infections, and non-infectious diseases.

17. A system as claimed in claim 1, in which the infectious disease is an immunodeficiency disease.

18. A system as claimed in claim 17, in which the immunodeficiency disease is classified according to any one selected from the group comprising low antibody levels, impaired functioning of white blood cells due to T-lymphocyte problems, T-lymphocyte problems, B-lymphocyte problems, killing and malfunctioning of white blood cells, abnormal white blood cell movement, and abnormal complement system.

19. A system as claimed in claim 1, in which data of the database system is systemized into characteristics of an infected person infected with the infectious disease.

20. A system as claimed in claim 19, which comprises anonymity means for ensuring anonymity of the infected person.

21. A system as claimed in claim 1, in which data of the database system is systemised into any one selected from the group comprising geographical regions, characteristics of geographical regions, and characteristics of a geographical region associated with a patient infected with the infectious disease.

22. A system as claimed in claim 1, in which data of the database system incorporates data of people infected with the infectious disease, data of people ill with the disease, and data of people who have died of the disease.

23. A system as claimed in claim 1, which comprises a mathematical model for determining data of people infected with the infectious disease, data of people ill with the infectious disease, and data of people who have died of the infectious disease.

24. A system as claimed in claim 23, in which the mathematical model is a function of time.

25. A system as claimed in claim 23, in which the relationships of data of people infected with the infectious disease, data of people ill with the infectious disease, and data of people who have died of the infectious disease are compared.

26. A system as claimed in claim 1, adapted for utilisation for any function selected from the group comprising

(a) detection of infectious diseases;

(b) detection of new infectious diseases;

(c) detection of new non-infectious diseases;

(d) prediction of the impact of a disease;

(e) prediction of the impact of a disease as a function of time;

(f) evaluation of infectious disease combating methods;

(g) providing information for combating infectious diseases;

(h) obtaining trends relating to infectious diseases;

(i) making predictions relating to infectious diseases;

(j) evaluating effectiveness of pharmaceutical preparations;

(k) detection of virus resistance;

(l) determining mode of transmission of infectious diseases;

(m) determining susceptibility of people to infectious diseases;

(n) evaluation of the impact of the infectious disease on sustainable development; and

(o) predicting the impact of the infectious disease on sustainable development.

2. A system as claimed in claimed 1, in which the complex adaptive system is capable of adapting according to characteristics of the input means providing the data.

3. A system as claimed in claimed 1, in which the complex adaptive system comprises at least one of the elements selected from the group comprising a Bayesian network, a neural network, a genetic algorithm and an artificial life system.

4. A system as claimed in claimed 1, which is deployed in a distributed environment.

5. A system as claimed in claimed 1, in which the input means are connected real-time to the database system.

6. A system as claimed in claimed 1, in which the database comprises real-time data.

7. A system as claimed in claimed 1, which requires an identification code for transferring data from the input means to the database system.

8. A system as claimed in claimed 1, which comprises filtering means for filtering data received from the input means.

9. A system as claimed in claimed 1, in which the infectious disease is an epidemic disease.

10. A system as claimed in claimed 1 which comprises data selected from the group comprising incidence data, prevalence data, death data, diagnosed data, estimated data, extrapolated data and predicted data.

11. A system as claimed in claimed 10, in which the estimated data, extrapolated data and predicted data are obtained by means of the model.

14. A system as claimed in claimed 13, in which the infectious disease combating methods comprise any one selected from the group comprising clinical objectives, virologic objectives, immunologic objectives, epidemiologic objectives, eradication of the infectious disease, prevention of infection with the infectious disease, treatment of patients infected with the infectious disease, development of a vaccine for the infectious disease, development of a cure for the infectious disease, maximum sustained suppression of effects of the infectious disease, immune stimulation of a patient infected with the infectious disease, and achieving long-term effectiveness of pharmaceutical preparation for treating patients infected with the infectious disease.

27. A method of surveying an infectious disease, which comprises the steps of

(a) providing a database system for storing biological data relating to at least one infectious disease;

(b) providing computer processing means associated with the database system and for processing said biological data of the database system and converting the processed biological data into surveillance data;

(c) providing a computational complex adaptive system being operatively associated with the computer processing means and being associated with the database system,

(d) providing at least one model associated with the complex adaptive system, the model being selected from the group comprising an analytical model and an empirical model;

(e) continuously adapting the parameters of the model;

(f) providing biological data to the database system by an input means configured to be mobile and being remote from the database system;

(g) processing the biological data of the database system;

(h) converting the biological data into surveillance data;

(i) continuously adapting the complex adaptive system according to the biological data provided to the database system and the surveillance data; and

(j) displaying the surveillance data generally instantly after said input means provides said biological data to said database system.

28. A method as claimed in claim 27, which is adapted for utilisation for any function selected from the group comprising:

(a) detecting infectious diseases;

(b) detecting new infectious diseases;

(c) detecting new non-infectious diseases;

(d) predicting the impact of a disease;

(e) predicting the impact of a disease as a function of time;

(f) evaluating infectious disease combating methods;

(g) providing information for combating infectious diseases;

(h) obtaining trends relating to infectious diseases;

(i) making predictions relating to infectious diseases;

(j) evaluating effectiveness of pharmaceutical preparations;

(k) detecting virus resistance;

(l) determining mode of transmission of infectious diseases;

(m) determining susceptibility of people to infectious diseases;

(n) evaluating the impact of the infectious disease on sustainable development; and

predicting the impact of the infectious disease on sustainable development.