Acute　respiratory　infections,　caused　by　RNA　viruses　like　respiratory　syncytial　virus,　influenza,　rhinovirus,　and　coronavirus,　are　major　global　health　threats.　Real-time　quantitative　reverse　transcription　polymerase　chain　reaction　(RT-qPCR)　is　the　gold　standard　for　detecting　these　viruses　but　is　time-consuming,　complex,　and　requires　specialized　equipment.　There　is　a　need　for　rapid,　convenient,　and　multi-target　detection　methods　to　improve　disease　prevention　and　control.　This　study　developed　a　multi-target　immunochromatographic　detection　method　using　LbuCas13a　protein　and　＂band　elimination＂　test　strips　for　detecting　SARS-CoV-2　and　influenza　virus.　The　method＇s　performance　was　evaluated　by　testing　known　5　positive　and　4　negative　samples　for　SARS-CoV-2　and　comparing　results　with　fluorescent　PCR　and　colloidal　gold　methods.　Detection　sensitivity　was　quantified　using　digital　PCR　and　qPCR.　The　immunochromatographic　test　strips　showed　100%　concordance　with　fluorescent　PCR　and　colloidal　gold　methods　in　initial　clinical　SARS-CoV-2　detection.　Subsequently,　we　used　dual-target　immunochromatographic　test　strips　to　detect　9　SARS-CoV-2　positive　samples　and　9　H3N2　positive　samples.　However,　false　negatives　were　observed　in　dual-target　detection　of　SARS-CoV-2　and　H3N2　samples,　likely　due　to　low　sample　concentration　or　sample　degradation.　The　method　had　a　minimum　detection　limit　of　381.75　copies/mu　L,　as　determined　by　digital　PCR　and　qPCR.　The　developed　multi-target　immunochromatographic　detection　method　offers　a　rapid,　low-cost,　and　simple　approach　for　detecting　both　SARS-CoV-2　and　influenza　viruses.　With　high　sensitivity,　specificity,　and　reliability,　this　method　holds　promise　as　a　practical　tool　for　RNA　virus　diagnosis　and　improving　public　health　response　to　respiratory　infections.