Zero-inflation refers to the occurrence of excess zeros in count data, which traditional statistical models may not adequately handle, leading to biased or inefficient estimates. It is crucial to employ specialized models, such as zero-inflated models or hurdle models, to correctly interpret and analyze datasets with this characteristic.