Mammal responses to global changes in human activity vary by trophic group and landscape.

Wildlife must adapt to human presence to survive in the Anthropocene, so it is critical to understand species responses to humans in different contexts. We used camera trapping as a lens to view mammal responses to changes in human activity during the COVID-19 pandemic. Across 163 species sampled in 102 projects around the world, changes in the amount and timing of animal activity varied widely. Under higher human activity, mammals were less active in undeveloped areas but unexpectedly more active in developed areas while exhibiting greater nocturnality. Carnivores were most sensitive, showing the strongest decreases in activity and greatest increases in nocturnality. Wildlife managers must consider how habituation and uneven sensitivity across species may cause fundamental differences in human-wildlife interactions along gradients of human influence.

A structured open dataset of government interventions in response to COVID-19

In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset on a weekly basis until the end of December 2020.

Blood chimerism in twins.

CONCLUSIONS: Chimerism is a phenomenon in which an individual has cells with different genetic content from different zygotes. In dizygotic twins (DTs), chimerism is believed to occur through placental anastomoses that enable the bidirectional exchange of hematopoietic stem cells. Little is still known about chimerism frequency in twins, but several studies have shown a relation between chimerism and some conditions such as autism, Alzheimer's disease, and a group of autoimmune diseases such as Sjögren syndrome, systemic lupus erythematosus, and systemic sclerosis. In addition to chimerism of ABO blood groups being possibly mistaken for ABO subgroups, these autoimmune diseases may affect other serologic immunohematologic tests. This study aimed to determine the frequency of chimerism in DTs through ABO and D testing using the tube method, column agglutination, and short tandem repeat (STR) assays. Among the 103 subjects assessed for this study, 24 subjects (12 pairs) were excluded because STR assays showed they were monozygotic; of the remaining, 70 subjects (35 pairs) were DTs and 9 subjects came from gestations of trizygotic triplets. No ABO or D chimerism was detected in any subject through serologic assays, and STR assays did not detect any blood chimerism. Although there was no evidence of chimerism found in this study, we emphasize the importance of observing the family background of individuals with suspected ABO subgroup in complex immunohematologic studies because ABO antigen-antibody reactions are similar in both circumstances, and chimerism can be overlooked. Moreover, the use of the STR analysis method in chimerism studies can be important to help differentiate chimerism and ABO subgroups.