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OHara, K. C.

Publications and source records attributed to OHara, K. C..

2 recordsLinked to original sources

Estimating sampling and laboratory capacity for a simulated African swine fever outbreak in the United States

The introduction of African swine fever virus (ASFV) into uninfected countries can impact economic and animal welfare. Rapid detection and control of the outbreak contribute to successful eradication and promote business continuity. We developed a model to determine the number of samples, sample collectors, laboratory capacity, and processing times following an ASFV introduction into the U.S. We simulated the spread of ASFV in one densely populated swine region, generating a median of 27 (range = 1-68) outbreaks in 150 days, resulting 616 (range = 1-15,011) sampling events with a total of 3,068 barns (range = 7-69,118) sampled. We calculated the total sample collectors needed, considering daily working hours, sampling and driving time, and laboratory capabilities with and without blood sample pooling. Samples included 31 blood samples and five oral fluid samples per barn, which equal 84,830 (range = 52-2,066,831) and 14,195 (range = 10-345,590) blood and oral fluid samples, respectively. The median number of sample collectors needed to prevent sampling delay varied from 136 to 367 and, in the worst epidemic scenarios, from 833 to 3,115. Notably, excluding downtime-which prevented the sampler from visiting additional farms for 24 or 72 hours-reduced the number of sample collectors needed between 28% and 75%, while switching from blood to oral fluid samples reduced this number between 47% and 75%. At a laboratory processing daily capacity of 1,000 samples, the median days for sample processing without pooling were 92 days, with a maximum of 5.7 years. We demonstrated a need to redistribute 10,062 (range = 2-67,940) unprocessed samples daily to other laboratories to prevent processing delays. Our study addresses the challenge of efficiently organizing resources for managing a potential ASFV outbreak, providing information about the number of sample collectors and laboratory capacity needed for one densely populated swine region in the U.S.

ecology↗

Analyzing the intrastate and interstate swine movement network in the United States

Disease prevention and control tactics rely on identifying and restricting animal movement to attenuate the between-premises spread of disease in livestock systems. Therefore, it is essential to uncover between-premises movement dynamics, including shipment distances and network-based control strategies. Here, we analyzed three years of between-premises pig movements, which include 197,022 unique animal shipments, 3,973 premises, and 391,625,374 pigs shipped across 20 U.S. states. We constructed unweighted, directed, temporal networks at 180-day intervals to calculate premises-to-premises movement distances, the size of connected components, network loyalty, and degree distributions, and, based on the out-going contact chains, identified network-based control actions. Our results show that the median distance between premises pig movements was 74.37 km, with median intrastate and interstate movements of 52.71 km and 328.76 km, respectively. On average, 2,842 premises were connected via 6,705 edges, resulting in a weak giant connected component that included 91% of the premises. The premises-level network exhibited loyalty, with a median of 0.65 (IQR: 0.45 - 0.77). Results highlight the effectiveness of node targeting and disease spread; we demonstrated that targeting 25% of farms with the highest degree or betweenness limited spread to 1.23% and 1.7% of premises, respectively. While there is no complete shipment data for the entire U.S., our multi-state movement analysis demonstrated the value and the needs of such data for enhancing the design and implementation of proactive-disease control tactics.

ecology↗