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In spring, summer and autumn 2020, one abiding argument against controlled human infection (CHI) studies of SARS-CoV-2 vaccines has been their impact on local communities. Leading scientists and bioethicists expressed concern about undue usage of local residents’ direly needed scarce resources at a time of great need and even about their unintended infection. They recommended either avoiding CHI trials or engaging local communities before conducting any CHIs. Similar recommendations were not made for the alternative—standard phase III field trials of these same vaccines. We argue that the health effects of CHI studies on local residents not participating in the study tend to be smaller and more positive than those of field trials. That is all the more so now that tested vaccines are being rolled out. Whether or not local community engagement is necessary for urgent vaccine studies in the pandemic, the case for its engagement is stronger prior to field trials than prior to CHI studies.

The Korean government sought to include dental implant services for the elderly in the benefits package of the national health insurance. In 2014, the Citizens’ Jury was held to discuss the topic, during which thirty jurors, randomly selected from the 2665 applicants, participated in a day-long deliberation process after having an information session on the topic by a team of experts. There was a substantial shift in opinion during the deliberation session toward a more cost-conscious view. Most jurors supported limiting the coverage of dental implant to only one tooth per individual given the extent of the financial burden that will be imposed on the population. They opposed covering implant services for the front teeth, given that the implant of front teeth generally serves aesthetic purposes rather than restoring mastication function. The government’s final decision in 2014 was to offer coverage up to two teeth, regardless of tooth location. This scheme based on the jury’s recommendations in 2014 has been implemented without policy failure to date, which shows that the lay public can meaningfully contribute to a decision-making process regarding controversial agendas such as benefits packages for expensive health services.

Leaf area index (LAI) is important in explaining the ability of the crop to intercept solar energy for biomass production and in understanding the impact of crop management practices. This paper describes a procedure for estimating LAI as a function of image-derived vegetation indices from temporal series of IKONOS, Landsat TM, and MODIS satellite images using empirical models and demonstrates its use with data collected at Missouri field sites. LAI data were obtained several times during the 2002 growing season at monitoring sites established in two central Missouri experimental fields, one planted to soybean (Glycine max L.) and the other planted to corn (Zea mays L.). Satellite images at varying spatial and spectral resolutions were acquired and the data were extracted to calculate normalized difference vegetation index (NDVI) after geometric and atmospheric correction. Linear, exponential, and expolinear models were developed to relate temporal NDVI to measured LAI data. Models using IKONOS NDVI estimated LAI of both soybean and corn better than those using Landsat TM or MODIS NDVI. Expolinear models provided more accurate results than linear or exponential models.