Rescue workers and thousands of volunteers are not the only ones who have won hearts and minds for their heroic efforts in the search for survivors after Tuesday's powerful earthquake in
Mexico. Fifteen dogs from the navy's canine (军犬) unit have assisted this week in the rescue efforts at the sites of collapsed buildings across Mexico City, where more than 50 people have been pulled alive from the ruins.
Of the canine heroes none is more famous or loved than Frida, a six-year-old white Labrador who in her distinguished service has won praise for her ability to detect people who have been trapped by various natural disasters. Over her admirable career she has found 52 people including 12 survivors in Mexico and other Latin American countries.
This week, Frida and Evil and Echo—two Belgian Shepherds that have also been specially trained for rescue efforts一were sent to the site of the collapsed Enrique Rebsamen School in southern Mexico City.
Equipped with goggles that protect her eyes from dust and smoke, boots to prevent damage to her paws while she climbs over rough ruins, Frida took to her work looking every bit the part of the ruins.
If Frida detects the presence of a survivor, she is trained to bark to alert rescue workers but if she detects a corpse she stops suddenly before proceeding, her handler explained.
Eleven children were rescued from ruins at the school but this time human rescue workers rather than the dogs were the ones who located them.
However, that hasn't stopped Frida from becoming a social media star and reaching a new level of fame this week. Videos and other social media posts that highlight the work of Frida and her impressive record of detecting people trapped by natural disasters spread quickly online.
While she has yet to detect anyone trapped in the ruins this week, she and other rescue dogs are continuing to work tirelessly, searching through spaces that humans cannot reach. With the possibility that there are still people trapped alive, time will tell whether she adds to her rescue record.