Product Images Prevnar 13
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Prevnar 13 NDC 0005-1971 by Wyeth Pharmaceutical Division Of Wyeth Holdings Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
Logo - prevnar 01
This is a description of the manufacturer of a product called 'Wyeth Pharmaceuticals LLC'. The company is a subsidiary of Pizer Inc located in Philadelphia with zip code 19101.*
Principal Display Panel - 0.5 mL Prefilled Syringe Label - prevnar 02
This is a description of a vaccine named Prevnar 13 by Wyeth Pharma, LLC. It is a pneumococcal conjugate vaccine that comes in a single dose of 0.5mL administered intramuscularly. It contains Diphtheria and Protein and should be refrigerated and not frozen. The lot number and expiration date are not available in the given text.*
PRINCIPAL DISPLAY PANEL - 0.5 mL 10 Syringe Carton - MADE IN IRELAND - prevnar 03
This is a description of a pneumococcal 13-valent conjugate vaccine called Prevnar13, which is dispensed in a one-dose, disposable syringe of 0.5 mL to be administered intramuscularly. It contains diphtheria CRMWig7 protein and has a commercial code NOC 0005-1971-02. The rest of the text is not related to the vaccine and is uninterpretable.*
Principal Display Panel - 0.5 mL 10 Disposable Syringe Carton - prevnar 04
This is a description of a vaccine - Pneumococcal 13-valent Conjugate Vaccine. It is a pre-filled disposable syringe for intramuscular use. Each dose contains approximately 2.2g of various saccharides, carrier proteins and adjuvants. The vaccine is manufactured by Wyeth Pharmaceuticals LLG and is not made with natural rubber latex. It should be stored refrigerated between 2° to 8°C and should not be frozen. If frozen, the vaccine should be discarded.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.