HIGHLIGHTS
- who: Kimihito Ito from the Université de Montréal, Canada University of Tennessee, Knoxville have published the article: Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance, in the Journal: (JOURNAL)
- what: The authors show that using computer simulations and mathematical models, the optimal target population with the narrowest CI differs depending on the FOI. This approach can be considered adaptive surveillance , where surveillance is designed based on the results of previous modeling studies.
- how: The results indicated that the width of the 95% CI of FOI can be . . .
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