Vector Borne Disease
Mosquito-borne diseases take a heavy toll of life and are a nuisance especially in tropical and sub tropical regions of the world. These diseases are more prevalent in poverty - stricken third world countries, leading to vicious cycle of poverty and disease. The spectrum of the diseases threatens the mankind in full vigour and includes Malaria, Lymphatic Filariasis, Dengue, Chikungunya and Japanese encephalitis. The factors responsible for the emergence/resurgence of vector-borne diseases are complex; there is an urgent need for exploring new methods and technologies to devise ways to curb these diseases. An integrated approach for the control of mosquitoes and the diseases they transmit will enable better sustainable control while helping to circumvent some of the problems associated with the use of conventional insecticides. Environmental methods and biological control are alternatives to chemical control and are key components of the integrated strategy.
Biology Division of CSIR-IICT has developed databases for vector borne disease to store the information on various aspects like…
- Socioeconomic details
- Study area details
- Meteorological details.
The above details help to understand the disease transmission, trend of the disease, and generation of various combination reports to understand the disease scenario for effective management of the diseases.
List of Technologies developed at Biology Division of CSIR-IICT:
- Biological databases on malaria, filariasis, Japanese encephalitis: The databases on vector borne disease to store the information on various aspects like Epidemiology, Entomology, Socioeconomic details, Study area details and Meteorological details. These details help to understand the disease transmission, trend of the disease, and generation of various combination reports to understand the disease scenario for effective management of the diseases
- Expert system for the identification of Anopheles and Culex vectors: The expert system application has been used for the identification of Anopheles and South East Asian Culex mosquito species. This technology helps in identification of principal vectors during disease out break period.
- Aerodynamic Properties of fliers: This technology helps to understand the aerodynamic properties of the insects. The information on the aerodynamic parameters of different fliers play's a vital role in understanding the flight adaptations. The technology throw's light on the flight range, hovering capacity, Manoeuvrability of the insect, kinetic energy in relation to wing beat frequency etc will help to understand the vector dynamics and disease transmission in endemic region and its surroundings areas.
- Dengue Decision Support System: Dengue decision support system will help to identify the dengue fever from the normal fever by using the various clinical variables.
- JEBNET- Japanese encephalitis mosquito prédiction model: JEBNET will help to predict the Japanese encephalitis vector density by using the various agricultural and climatic factors.
- VB Classif- Epidemiological data Classification Tool: This application help's to classify the epidemiological data for the control of vector borne disease.
- GIS based applications: CSIR-IICT has developed GIS based visualisation system for identifying the disease hot spot regions for effective management. Apart from mapping we are also working on prediction of disease endemic regions through spatial modelling and data mining approaches.
- Self Organizing Map (SOM): SOM is an innovative clustering technique and first of its kind has been developed by Biology Division, of CSIR-IICT. This clustering technique enables the health officials to prioritize the diseases endemic zones to plan their control operations so as to minimize the mortality and morbidity occurring due to the onset of vector borne diseases.
- Climate change and Mosquito borne diseases: Biology Division of CSIR-IICT is also working on the aspect of climate change-mosquito borne disease in different parts of India. To understand the role of climate IICT has developed the climate based model for malaria in Arunachal Pradesh and extended the model to predict malaria in different states of India. Similarly we are also working on the role of climatic factors on dengue in India.
Various Databases on mosquito borne diseases developed by Biology Divn CSIR IICT Technology transferred to Ministry of Health, Govt of India and different state health authorities for its application in real time environment in the endemic zones of India
Technology to minimize the outbreak of mosquito borne diseases
Technology transferred to Ministry of Health, Govt of India for its application in real time environment in the endemic zones of India