Human activities have being responsible for the global environmental changes, resulting in an increase number of incident of vector- and rodent-borne diseases worldwide. Rodents and arthropods-borne viruses are important globally emerging and re-emerging viruses and most of them are RNA viruses. Efficient and early diagnosis of these infections are very important to prevent their spread, to improve clinical management of the patients, as wells to protect livestock and domestic animals. Currently, available diagnostic methods can detect only one or few viruses in a single assay. The DNA microarray platform has emerged as diagnostic tool suitable for high throughput screening of pathogenic agents. The aim of this study was to develop a DNA microarray platform for detecting rodent- and arthropod-borne viruses, which belong to seven families. Specific oligonucleotide probes of 60-mer 4296 targeting 410 virus species were designed. A total of 17 reference viruses belonging to the Bunyaviridae, Flaviviridae, Rhabdoviridae and Togaviridae families were used to standardize microarray platform. All reference viruses and Spike (positive control) were specifically detected without any cross hybridization(Table 1). The plateform was able to specifically identify eight viruses contained in two different Pools: Pool-1 virus of different families and Pool-2 virus of the Flavivirus genus (Table 2). The DENV-1 was use to evaluate the sensitivity of the RoboArboVirusChip, which was able to detect a minimum of 20 RNA copies/mL of the viruses, confirming its high sensitivity. The applicability of the paltform to detect viruses in clinical samples was tested with serum samples obtained from dengue suspected cases (four positive cases and 10 negative cases). DENV was detected in the four positive serum samples, while in the 10 negative serum samples, it was not detected any virus. The results obtained in this study suggest that the platform could be a useful tool for early diagnosis of robovirus and arbovirus infections during epidemic outbreaks, helping in the rapid implementation of disease containment strategies.