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Forewarning of Livestock Diseases September-2021

KARNATAKA, KERALA, ODISHA, TAMIL NADU are predicted for likely occurrence of Anthrax in November-2021

ARUNACHAL PRADESH, GOA, HARYANA, JHARKHAND, KERALA, TRIPURA, UTTAR PRADESH, WEST BENGAL, PUDUCHERRY are predicted for likely occurrence of Babesiosis in November-2021

ANDHRA PRADESH, ASSAM, JHARKHAND, KARNATAKA, MEGHALAYA, ODISHA, TRIPURA, WEST BENGAL are predicted for likely occurrence of Black quarter in November-2021

TAMIL NADU are predicted for likely occurrence of Bluetongue in November-2021

ANDHRA PRADESH, JHARKHAND, KARNATAKA are predicted for likely occurrence of Enterotoxaemia in November-2021

ASSAM, JHARKHAND, MANIPUR, TRIPURA, UTTAR PRADESH, ANDAMAN & NICOBAR ISLANDS, PUDUCHERRY are predicted for likely occurrence of Fascioliasis in November-2021

ANDHRA PRADESH, BIHAR, JHARKHAND, KARNATAKA, KERALA, MADHYA PRADESH, MEGHALAYA, MIZORAM, SIKKIM, TAMIL NADU, TRIPURA, WEST BENGAL, PUDUCHERRY are predicted for likely occurrence of Foot and mouth disease in November-2021

GUJARAT, JHARKHAND, KARNATAKA, MADHYA PRADESH, MAHARASHTRA, RAJASTHAN, UTTAR PRADESH are predicted for likely occurrence of Haemorrhagic septicaemia in November-2021

GUJARAT, HIMACHAL PRADESH, JHARKHAN, KARNATAKA, KERALA, MAHARASHTRA, ODISHA, TAMIL NADU, TRIPURA, UTTAR PRADESH, WEST BENGAL are predicted for likely occurrence of PPR in November-2021

ASSA, HARYANA, JAMMU & KASHMIR,JHARKHAND, KARNATAKA, MAHARASHTRA, MANIPUR, MIZORAM, ODISHA, TRIPURA, WEST BENGAL are predicted for likely occurrence of S & G Pox in November-2021

ASSAM, HARYANA, JHARKHAND, MADHYA PRADESH, MANIPUR, MEGHALAYA, NAGALAND, PUNJAB, TRIPURA are predicted for likely occurrence of Swine fever in November-2021

GUJARAT, JHARKHAND, KARNATAKA, KERALA, UTTAR PRADESH, WEST BENGAL are predicted for likely occurrence of Theileriosis in Novemberr-2021

JHARKHAND, KERALA, UTTAR PRADESH are predicted for likely occurrence of Trypanosomiasis in November-2021

OB Prediction November-2021

Anthrax - 26, with Accuracy of 99.53%

Babesiosis - 53, with Accuracy of 99.84%

Black quarter - 35, with Accuracy of 99.84%

Bluetoungue- 10, with Accuracy of 99.22

Enterotoxaemia- 27, with Accuracy of 99.84

Fasciolosis - 52, with Accuracy of 99.69%

FMD - 110, with Accuracy of 92.90%

HS - 29, with Accuracy of 96.75%

PPR - 61, with Accuracy of 97.83%

S&G Pox - 38, with Accuracy of 99.38%

Swine Fever - 44, with Accuracy of 99.22%

Theileriosis - 68, with Accuracy of 99.53%

Trypanosomiasis - 51, with Accuracy of 97.68%

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Covid-19 Epidemiological Analysis in India

    Coronavirus disease (COVID-19,) a novel coronavirus originated from Wuhan, a city in the Hubei Province of China at the end of 2019, has further progressed rapidly to become a global epidemic. In February 2020, the World Health Organization (WHO) designated the disease as COVID-19 and declared it as a global pandemic, as the disease has spread to nearly all the continents and the cases are rising at an exponential rate.A confirmed case of COVID-19 infection is defined as those with a positive result for viral infection and history of acute respiratory illness for the collected specimens. A suspected case is defined as a patient with symptoms of COVID-19 infection, but not confirmed by viral nucleic acid testing. An actual estimate of the serial interval was considered by estimating the time from onset of illness in a primary case (infector) to illness onset in a secondary case (infected) in a transmission chain. Serial interval can only be estimated by linking dates of onset for infector-infected data pairs, and these links are difficult to be established. R0 is defined as the actual expected number of secondary cases that one primary case will generate in a susceptible population


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