April 2, 2019

April 2019 SHIC eNewsletter

SHIC Helps Uncover Risk for ASF Introduction into the US via Air Passengers’ Luggage
SHIC Learns ASF Identified in Cambodia
SHIC Commends USDA for Actions Relative to ASF Risks
SHIC Shares Resource for ASF Identification Poster
SHIC Shares USDA Literature Review on Non-Animal Origin Swine Feed Ingredients
SHIC Shares USDA’s ASF Entry Assessment
SHIC Shares USDA’s Non-Animal Origin Feed Ingredient Risk Evaluation Framework
SHIC Shares New CFIA Feed Import Requirements
Global Swine Disease Monitoring Report
Domestic Disease Monitoring Report
April 1, 2019

SHIC Helps Uncover Risk for ASF Introduction into the US via Air Passengers’ Luggage

In 2018, African swine fever (ASF) spread into Western Europe, and, for the first time, into China and Southeast Asia. Such dramatic change in the global epidemiological conditions of ASF has resulted in concerns the disease may continue to spread into disease-free regions, such as the US.
March 20, 2019

SHIC Commends USDA for Actions Relative to ASF Risks

On March 19, 2019, USDA released information on the agency’s activities aimed at preventing the entry of African swine fever (ASF) into the US. Just last week, USDA-trained detector dogs were instrumental in the discovery and seizure of 1 million pounds of prohibited Chinese pork coming into the US through the port at Newark, New Jersey, and headed to destruction per policy.
March 7, 2019

March 2019 SHIC eNewsletter

SHIC-Funded Study Offers to Predict PEDV Outbreaks
SHIC Reports ASF in Vietnam and Seized Pork in Taiwan
Reminder: Declaring Farm Visits in Countries with Foreign Animal Disease to Customs
Global Swine Disease Monitoring Report
Domestic Disease Monitoring Report
February 25, 2019

SHIC-Funded Study Offers to Predict PEDV Outbreaks

The Swine Health Information Center (SHIC) collaborated with the Morrison Swine Health Information Project to enable a study applying machine-learning to predict porcine epidemic diarrhea virus (PED) outbreaks on sow farms. The researchers were able determine it is possible to predict the probability of an outbreak when considering animal movements and environmental conditions.