Typhoid vaccine in the context of "Inactivated vaccine"

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👉 Typhoid vaccine in the context of Inactivated vaccine

An inactivated vaccine (or killed vaccine) is a type of vaccine that contains pathogens (such as virus or bacteria) that have been killed or rendered inactive, so they cannot replicate or cause disease. In contrast, live vaccines use pathogens that are still alive (but are almost always attenuated, that is, weakened). Pathogens for inactivated vaccines are grown under controlled conditions and are killed as a means to reduce infectivity and thus prevent infection from the vaccine.

Inactivated vaccines were first developed in the late 1800s and early 1900s for cholera, plague, and typhoid. In 1897, Waldemar Haffkine, who developed the vaccine for cholera, also successfully created the first vaccine for the plague in 1897. In the 1950s, Jonas Salk created an inactivated vaccine for the poliovirus, creating the first vaccine that was both safe and effective against polio. Today, inactivated vaccines exist for many pathogens, including influenza, polio (IPV), rabies, hepatitis A, CoronaVac, Covaxin and pertussis.

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Typhoid vaccine in the context of Vaccine efficacy

Vaccine efficacy or vaccine effectiveness is the percentage reduction of disease cases in a vaccinated group of people compared to an unvaccinated group. For example, a vaccine efficacy or effectiveness of 80% indicates an 80% decrease in the number of disease cases among a group of vaccinated people compared to a group in which nobody was vaccinated. When a study is carried out using the most favorable, ideal or perfectly controlled conditions, such as those in a clinical trial, the term vaccine efficacy is used. On the other hand, when a study is carried out to show how well a vaccine works when they are used in a bigger, typical population under less-than-perfectly controlled conditions, the term vaccine effectiveness is used.

Vaccine efficacy was designed and calculated by Greenwood and Yule in 1915 for the cholera and typhoid vaccines. It is best measured using double-blind, randomized, clinical controlled trials, such that it is studied under "best case scenarios."

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