Arkivbild: Hockeypublik. (Andreas Hillergren/TT / TT NYHETSBYRÅN)

Studie: Publikstopp bäst för att förhindra smittan

Förbud mot publika evenemang är den enskilda åtgärd som minskar spridningen av det nya coronaviruset allra mest, visar en ny studie publicerad i tidskriften The Lancet.

Forskarna har analyserat de åtgärder som vidtagits i 131 länder, såsom skolstängningar, stängda arbetsplatser, restriktioner, påbud att stanna hemma och stopp för publika evenemang. Den åtgärd som leder till störst minskning av smittspridningen är förbud mot publika evenemang, skriver de. I genomsnitt minskar det R-talet med 24 procent.

”Vår definition av publika evenemang är ganska bred och inkluderar till exempel sportevenemang, festivaler och religiösa ceremonier. Egentligen har vi inte haft någon exakt definition när det gäller antalet personer, men det handlar om större evenemang för åtminstone 100 personer”, skriver studiens försteförfattare You Li, forskare vid University of Edinburgh, till TT.

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Wikipedia (en)
In epidemiology, the basic reproduction number, or basic reproductive number (sometimes called basic reproduction ratio or basic reproductive rate), denoted R 0 {\displaystyle R_{0}} (pronounced R nought or R zero), of an infection can be thought of as the expected number of cases directly generated by one case in a population where all individuals are susceptible to infection. The definition describes the state where no other individuals are infected or immunized (naturally or through vaccination). Some definitions, such as that of the Australian Department of Health, add absence of "any deliberate intervention in disease transmission". The basic reproduction number is not to be confused with the effective reproduction number R {\displaystyle R} (usually written R t {\displaystyle R_{t}} [t for time], sometimes R e {\displaystyle R_{e}} ), which is the number of cases generated in the current state of a population, which does not have to be the uninfected state. Also, it is important to note that R 0 {\displaystyle R_{0}} is a dimensionless number and not a rate, which would have units of time−1, or units of time like doubling time. R 0 {\displaystyle R_{0}} is not a biological constant for a pathogen as it is also affected by other factors such as environmental conditions and the behaviour of the infected population. Furthermore R 0 {\displaystyle R_{0}} values are usually estimated from mathematical models, and the estimated values are dependent on the model used and values of other parameters. Thus values given in the literature only make sense in the given context and it is recommended not to use obsolete values or compare values based on different models. R 0 {\displaystyle R_{0}} does not by itself give an estimate of how fast an infection spreads in the population. The most important uses of R 0 {\displaystyle R_{0}} are determining if an emerging infectious disease can spread in a population and determining what proportion of the population should be immunized through vaccination to eradicate a disease. In commonly used infection models, when R 0 > 1 {\displaystyle R_{0}>1} the infection will be able to start spreading in a population, but not if R 0 < 1 {\displaystyle R_{0}<1} . Generally, the larger the value of R 0 {\displaystyle R_{0}} , the harder it is to control the epidemic. For simple models, the proportion of the population that needs to be effectively immunized (meaning not susceptible to infection) to prevent sustained spread of the infection has to be larger than 1 − 1 / R 0 {\displaystyle 1-1/R_{0}} . Conversely, the proportion of the population that remains susceptible to infection in the endemic equilibrium is 1 / R 0 {\displaystyle 1/R_{0}} . The basic reproduction number is affected by several factors, including the duration of infectivity of affected people, the infectiousness of the microorganism, and the number of susceptible people in the population that the infected people contact.
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