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Russian drone attack on Odesa wounds 10, officials say
Officials said 13 people were wounded as drones hit residential buildings and a hotel, and fires burned in the city center.
- On Monday, April 27, 2026, Russia launched a drone attack on Odesa, injuring at least 13 people and damaging a hotel and residential infrastructure, Odesa Oblast Governor Oleh Kiper reported.
- As a major Black Sea port and focal point for Ukrainian exports, Odesa has been a repeated target of Russian strikes during years of war.
- The strikes caused the biggest damage in the central Prymorskyi district, where residential buildings, vehicles, and facilities were hit, sparking fires at the scene.
- Two children were among the wounded, officials reported, as the Ukrainian Air Force worked to intercept approaching drone swarms and missiles during the overnight assault.
- This incident follows a massive April 25 aerial strike across Ukraine that killed at least 10 people and injured 67, demonstrating the ongoing intensity of regional hostilities.
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53 Articles
53 Articles
LancasterOnline+9 Reposted by 9 other sources
Russian drone attack wounds 14 while Ukrainian drones kill 2 in Russia-held area
Authorities in Ukraine say a Russian drone attack on Ukraine’s southern city of Odesa has wounded 14 people including two children. Officials said Monday that the drones hit residential neighborhoods and civilian infrastructure. A Russian official said that a Ukrainian…
·Lancaster, United States
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Bombings caused the most damage in the historic central district of Prymorskyi, where residential buildings, a hotel, and other facilities were hit.
·Brazil
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Associated Press News+5 Reposted by 5 other sources
A predawn Russian drone strike hits Ukraine's Odesa, wounding 14; 2 killed in Russian-held Kherson
Authorities in Ukraine say a Russian drone attack on Ukraine’s southern city of Odesa has wounded 14 people, including two children.
·United States
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Coverage Details
Total News Sources53
Leaning Left13Leaning Right4Center12Last UpdatedBias Distribution45% Left
Bias Distribution
- 45% of the sources lean Left
45% Left
L 45%
C 41%
14%
Factuality
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