This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May. https://covid19.healthdata.org/united-states-of-america/new-york?view=infections-testing&tab=trend&test=positive_tests
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May. This recent rapid increase is coupled with city wide restaurant closures and limited indoor capacity.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period. Germany currently has 4x the daily infections as they did in April.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May. This recent rapid increase is coupled with city wide restaurant closures and limited indoor capacity.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May. This recent rapid increase is coupled with city wide restaurant closures and limited indoor capacity.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May. This rapid increase is coupled with city wide restaurant closures and limited indoor capacity.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask and has been since May.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks. To add, New York infections are currently back at highs and near every single person in NYC is wearing a mask.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests
This study analyzes Jena, a specific region in Germany. It uses April 1st through April 22nd as the control range where infections fell "due to masks". Through this time period infections fell exponentially across all German regions and also around the world. Most notably in New York where there was not yet widespread use of masks in early April and infection rates plummeted during this exact same time period.
By using this logic one could conclude that infection rates in New York dropped by not wearing masks.
https://covid19.healthdata.org/germany?view=infections-testing&tab=trend&test=positive_tests