AVIAN BOTULISM—ANOTHER PERSPECTIVE
Waterfowl botulism is unique among intoxications because toxin produced within its victims leads to secondary poisoning of other birds. Because of this phenomenon, the epizootiology of the carcass-maggot cycle of botulism resembles that of an infectious disease and the reproductive rate (R) of the disease could be defined as the average number of secondary intoxications attributable to a single carcass introduced into a marsh. I propose that toxin production and botulism occur commonly at a low level in many marshes and that factors which influence R determine when the disease expands into a large epizootic. A model that incorporates the number of carcasses occurring in a marsh, the probability of a carcass containing spores, the probability of a carcass persisting until toxin-bearing maggots emerge, and the contact rate between live birds and toxin, may be useful for predicting the extent of secondary-poisoning, for identifying questions for research, and as a theoretical basis for management.
Minimizing an outbreak of avian botulism (Clostridium botulinum type C) in Incheon, South Korea
An outbreak of botulism occurred over a two-month period beginning July 20, 2016. In all, 697 wild birds were found paralyzed or dead at the Namdong reservoir and 11 Gong-gu. Using a mouse bioassay, type C botulinum toxin was identified in the bird serum, liquid cultures of soil samples, and maggot extracts. To minimize further infection of wild birds, we opened the floodgates of the Namdong reservoir adjacent to the Yellow Sea; this decreased the water temperature and the nutrient load such as nitrogen and phosphorus. The outbreak stopped shortly after taking these actions. It is not known if these efforts decreased the number of dead and diseased wild birds. Our study demonstrates one potential approach to minimize future botulism outbreaks among wild birds and their habitats.
Comparison of model prediction with measurements of galactic background noise at L-band
The spectral window at L-band (1.413 GHz) is important for passive remote sensing of surface parameters such as soil moisture and sea surface salinity that are needed to understand the hydrological cycle and ocean circulation. Radiation from celestial sources (mostly galactic) is strong in this window, and an accurate accounting of this background radiation is often needed for calibration. This paper presents a comparison of the background radiation predicted by a model developed from modern radio astronomy measurements with measurements made with several modern L-band remote sensing radiometers. The comparison validates the model and illustrates the magnitude of the correction necessary in remote sensing applications.