An　extension　of　the　classical　pandemic　SIRD　model　is　considered　for　the　regional　spread　of　COVID-19　in　France　under　lockdown　strategies.　This　compartment　model　divides　the　infected　and　the　recovered　individuals　into　undetected　and　detected　compartments　respectively.　By　fitting　the　extended　model　to　the　real　detected　data　during　the　lockdown,　an　optimization　algorithm　is　used　to　derive　the　optimal　parameters,　the　initial　condition　and　the　epidemics　start　date　of　regions　in　France.　Considering　all　the　age　classes　together,　a　network　model　of　the　pandemic　transport　between　regions　in　France　is　presented　on　the　basis　of　the　regional　extended　model　and　is　simulated　to　reveal　the　transport　effect　of　COVID-19　pandemic　after　lockdown.　Using　the　measured　values　of　displacement　of　people　between　cities,　the　pandemic　network　of　all　cities　in　France　is　simulated　by　using　the　same　model　and　method　as　the　pandemic　network　of　regions.　Finally,　a　discussion　on　an　integro-differential　equation　is　given　and　a　new　model　for　the　network　pandemic　model　of　each　age　class　is　provided.