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Forewarning of Livestock Diseases June-2022

AAnthrax" "BIHAR,GUJARAT,JHARKHAND,KARNATAKA AND TAMIL NADU are predicted for likely occurrence of Anthrax in August-2022

ASSAM,JHARKHAND,KERALA,MEGHALAYA,SIKKIM,TRIPURA,UTTAR PRADESH AND WEST BENGAL are predicted for likely occurrence of Babesiosis in August-2022

ASSAM,GUJARAT,JHARKHAND,KARNATAKA,MADHYA PRADESH,MANIPUR,MEGHALAYA,ODISHA AND WEST BENGAL are predicted for likely occurrence of Black quarter in August-2022


ANDHRA PRADESH,ASSAM,JHARKHAND,KARNATAKA,KERALA,MADHYA PRADESH AND RAJASTHAN are predicted for likely occurrence of Enterotoxaemia in August-2022

ARUNACHAL PRADESH,ASSAM,JHARKHAND,MANIPUR,UTTAR PRADESH,ANDAMAN & NICOBAR ISLANDS AND PUDUCHERRY are predicted for likely occurrence of Fascioliasis in August-2022

BIHAR,GUJARAT,HIMACHAL PRADESH,JAMMU & KASHMIR,JHARKHAND,KARNATAKA,KERALA,MAHARASHTRA,MANIPUR,MEGHALAYA,NAGALAND,ODISHA,RAJASTHAN,SIKKIM,TAMIL NADU,WEST BENGAL AND CHANDIGARH are predicted for likely occurrence of Foot and mouth disease in August-2022

ANDHRA PRADESH,ASSAM,BIHAR,CHATTISGARH,GUJARAT,JHARKHAND,KARNATAKA,KERALA,MADHYA PRADESH,MANIPUR,ODISHA,PUNJAB,RAJASTHAN,TRIPURA,WEST BENGAL AND CHANDIGARH are predicted for likely occurrence of Haemorrhagic septicaemia in August-2022

ANDHRA PRADESH,ASSAM,HARYANA,HIMACHAL PRADESH,JHARKHAND,KARNATAKA,KERALA,MAHARASHTRA,ODISHA,RAJASTHAN,UTTAR PRADESH AND WEST BENGAL are predicted for likely occurrence of PPR in August-2022

ANDHRA PRADESH,ASSAM,JAMMU & KASHMIR,KARNATAKA AND TAMIL NADU are predicted for likely occurrence of S & G Pox in August-2022

ASSAM,HARYANA,JHARKHAND,KERALA,MANIPUR,MEGHALAYA,MIZORAM,NAGALAND AND SIKKIM for likely occurrence of Swine fever in August-2022

JHARKHAND,KERALA,PUNJAB,UTTAR PRADESH AND WEST BENGAL for likely occurrence of Theileriosis in August-2022

JHARKHAND AND UTTAR PRADESH are predicted for likely occurrence of Trypanosomiasis in August-2022

OB Prediction August-2022

Anthrax - 41, with Accuracy of 98.61%

Babesiosis - 70, with Accuracy of 96.45%

Black quarter - 64, with Accuracy of 96.69%

Enterotoxaemia- 23, with Accuracy of 97.22

Fasciolosis - 47, with Accuracy of 96.69%

FMD - 92, with Accuracy of 96.45%

HS - 76, with Accuracy of 96.60%

PPR - 54, with Accuracy of 95.21%

S&G Pox - 28, with Accuracy of 99.53%

Swine Fever - 53, with Accuracy of 99.53%

Theileriosis - 46, with Accuracy of 99.53%

Trypanosomiasis - 59, with Accuracy of 95.98%

Auto Messaging

NADEN Centers
Every Thursday at 11 am
Request to send the monthly disease outbreak report and provide feedback for forewarning in the format. Please ignore if already sent. ICAR-NIVEDI,Bangalore


Risk Maps

The basic reproduction number (R0) is the number of cases directly caused by an infected individual throughout its infectious period and is an indicator of the infectiousness or transmissibility of infectious pathogen. R0 is used to determine the ability of a disease to spread within a given population and has been described as being one of the fundamental and most often used metrics for study of infectious disease dynamics.
Geographical maps indicating the value of basic reproduction number(R0), can be used to identify the areas of higher risk of probability for major outbreak/incidence of livestock in India. This is a first step towards an integrative method to predict the risk of establishment of disease based on mathematical modelling combined with a geographic information system that may comprise climate variables including satellite data, landscape, host parameters and other relevant factors determining risk of establishment for livestock diseases. Geographical maps indicating the value of basic reproduction number(R0), can be used to identify the areas of higher risk of probability for major outbreak/Incidence. This is a first step towards an integrative method to predict the risk of establishment of disease based on mathematical modelling combined with a geographic information system that may comprise climate variables including satellite data, landscape, host parameters and other relevant factors determining risk of establishment for livestock diseases.


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