3 research outputs found

    Do flying foxes limit flower abortion in African baobab (

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    Introduction. The plant baobab (Adansonia digitata L.) is a multipurpose tree in Sub-Saharan Africa. This study investigates the role of bat-induced pollination in baobab fruiting. Materials and methods. The tree was studied in three different climatic regions in Benin Republic: MatĂ©ri, Dassa-Zoume and Come-HouĂ©yogbĂ©, representing the Northern, Central and Southern parts of the country, respectively. Tree size (diameter at breast height, height, crown diameter) and flower size (sepals and petals length and width) were measured from each of the trees in the study areas and flower visitation by bats was monitored. Bats’ contribution to pollination success was also evaluated by monitoring caged and free flowers. Results and discussion. There were significant differences in tree and flower sizes among the three regions. Significant differences were also observed in the mean number of bat visits per tree and pollination success among tree populations, but, fruit set per tree was not significantly different among baobab populations, at least in the first 8 weeks. In all populations, flower abortion was significantly elevated in caged flowers. Conclusion. Based on findings of this study, it can be concluded that bat-pollination increases the fruit set rate, making it an important factor for in situ regeneration of baobab trees in the country

    SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

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    Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population
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