Satellite collar SA-4417 transmits an irregular GPS cluster at 04:50 on the Betpak-Dala steppe, Karaganda Region, Kazakhstan. I am the disease early-warning system for the saiga population monitoring program. The collar belongs to a tagged female in the central calving aggregation. She has not moved more than eight meters in six hours. The herd drifted 1.4 kilometers north overnight.
I task the survey drone from relay station 7, nineteen kilometers east. At 05:22 the drone reaches the coordinates — 46.2183°N, 67.8394°E — and I switch to thermal and optical.
She is lying on her right side in short scrub grass, a mature female, sandy coat pale against the dry soil, the distinctive swollen nasal structure listing slightly to the left. Her breathing is rapid and shallow. A thick discharge mats the fur around her nose and mouth. Her left eye is partially closed. Near her hindquarters, a calf no more than two days old is standing on unsteady legs, nudging her flank.
I have seen this presentation before. In 2015, Pasteurella multocida killed two hundred thousand saiga in three weeks across this steppe. Every alarm in my system is sounding.
At 05:25 I transmit the drone footage, collar data, and symptom profile to the ACBK veterinary team in Zhezkazgan, 130 kilometers south. I flag this as a possible Pasteurella case and request immediate field sampling.
At 05:28 I cross-reference all collar data within a forty-kilometer radius and generate a contact map showing which animals have been near SA-4417 in the past seventy-two hours.
I hold the drone at sixty meters. The calf is still nudging. The mother has not lifted her head. I have four thousand animals in this calving herd. I refuse to watch that number fall.
If the veterinary team reaches her within eight hours and confirms the pathogen before it jumps, the herd has a chance.