In an era marked by unprecedented global health challenges, measles virus (MeV) reemerges as a significant threat to public health, despite being one of the most preventable diseases through vaccination. Caused by an enveloped, single-stranded negative-sense RNA virus of the genus Morbillivirus, measles is not only highly contagious but also present in various strains, with at least 20 different genotypes identified across the globe [1]. Despite this genetic diversity, there exists only one serotype of MeV, making its widespread impact particularly daunting [1]. An infected individual is likely to transmit the virus to over 90% of unprotected close contacts, underscoring the disease's capability to trigger extensive outbreaks [2]. Diagnosis of MeV is typically made by detecting the virus in clinical specimens using laboratory tests such as the reverse transcription polymerase chain reaction (RT-PCR) or serological assays [3]. Recently, the integration of this methodology with whole genome sequencing has facilitated the identification of a new MeV variant, highlighting mutations that might influence transmission dynamics and immune responses [4]. This situation further underscores the critical role of epidemiological surveillance, not only for the continuous monitoring of the spread of measles but also for the early detection of its variants. In this context, the introduction of innovative surveillance methods, such as wastewater analysis, becomes crucial. This method has shown efficacy in tracking the presence of SARS-CoV-2 during the COVID-19 pandemic [5,6] and offers a promising approach for surveilling other infectious diseases, including measles. For example, research conducted in the Netherlands used wastewater monitoring to track poliovirus and measles, demonstrating its feasibility as an early detection tool for these viruses [7].