Modelling the field personnel resources to control foot‐and‐mouth disease outbreaks in New Zealand

• Published in: Transboundary and emerging diseases Vol. 69; no. 6; pp. 3926 - 3939
• Main Authors: Sanson, Robert L., Rawdon, Thomas G., Andel, Mary, Yu, Zhidong
• Format: Journal Article
• Language: English
• Published: Germany Hindawi Limited 01-11-2022
• Subjects: Animals; Availability; Cattle; Cattle Diseases - epidemiology; Cattle Diseases - prevention & control; Contact tracing; Disease control; Disease Outbreaks - prevention & control; Disease Outbreaks - veterinary; Epidemics; Epidemics - veterinary; Farms; Foot & mouth disease; Foot-and-Mouth Disease - epidemiology; Foot-and-Mouth Disease - prevention & control; Foot-and-Mouth Disease Virus - physiology; foot‐and‐mouth disease; Immunization; Livestock; Livestock farming; Machine learning; New Zealand - epidemiology; Outbreaks; Personnel; personnel resources; resource requirements; Shortages; Simulation; simulation modelling; Vaccination; Vaccination - veterinary; Veterinary surgeons; New Zealand; personnel resources; foot-and-mouth disease; resource requirements; simulation modelling
• ISSN: 1865-1674; 1865-1682
• DOI: 10.1111/tbed.14764

The objective of the study was to simulate New Zealand’s foot‐and‐mouth disease (FMD) operational plan to determine personnel requirements for an FMD response and understand how the numbers of front‐line staff available could affect the size and duration of FMD outbreaks, when using stamping‐out (SO) measures with or without vaccination. The model utilized a national dataset of all known livestock farms. Each simulation randomly seeded infection into a single farm. Transmission mechanisms included direct and indirect contacts, local and airborne spread. Prior to each simulation, the numbers of personnel available for front‐line tasks (including contact tracing, surveillance of at‐risk farms, depopulation and vaccination) were set randomly. In a random subset of simulations, vaccination was allowed to be deployed as an adjunct to SO. The effects of personnel numbers on the size and duration of epidemics were explored using machine learning methods. In the second stage of the study, using a subset of iterations where numbers of personnel were unconstrained, the number of personnel used each day were quantified. When personnel resources were unconstrained, the 95th percentile and maximum number of infected places (IPs) were 78 and 462, respectively, and the 95th percentile and maximum duration were 69 and 217 days, respectively. However, severe constraints on personnel resources allowed some outbreaks to exceed the size of the UK 2001 FMD epidemic which had 2026 IPs. The number of veterinarians available had a major influence on the size and duration of outbreaks, whereas the availability of other personnel types did not. A shortage of veterinarians was associated with an increase in time to detect and depopulate IPs, allowing for continued transmission. Emergency vaccination placed a short‐term demand for additional staff at the start of the vaccination programme, but the overall number of person days used was similar to SO‐only strategies. This study determined the optimal numbers of front‐line personnel required to implement the current operational plans to support an FMD response in New Zealand. A shortage of veterinarians was identified as the most influential factor to impact disease control outcomes. Emergency vaccination led to earlier control of FMD outbreaks but at the cost of a short‐term spike in demand for personnel. In conclusion, a successful response needs to have access to sufficient personnel, particularly veterinarians, trained in response roles and available at short notice.