WHO global research priorities for antimicrobial resistance in human health

The WHO research agenda for antimicrobial resistance (AMR) in human health has identified 40 research priorities to be addressed by the year 2030. These priorities focus on bacterial and fungal pathogens of crucial importance in addressing AMR, including drug-resistant pathogens causing tuberculosis. These research priorities encompass the entire people-centred journey, covering prevention, diagnosis, and treatment of antimicrobial-resistant infections, in addition to addressing the overarching knowledge gaps in AMR epidemiology, burden and drivers, policies and regulations, and awareness and education. The research priorities were identified through a multistage process, starting with a comprehensive scoping review of knowledge gaps, with expert inputs gathered through a survey and open call. The priority setting involved a rigorous modified Child Health and Nutrition Research Initiative approach, ensuring global representation and applicability of the findings. The ultimate goal of this research agenda is to encourage research and investment in the generation of evidence to better understand AMR dynamics and facilitate policy translation for reducing the burden and consequences of AMR

Active layer and permafrost thermal regime in a patterned ground soil in Maritime Antarctica, and relationship with climate variability models

Permafrost and active layer studies are important to understand and predict regional climate changes. The objectives of this work were: i) to characterize the soil thermal regime (active layer thickness and permafrost formation) and its interannual variability and ii) to evaluate the influence of different climate variability modes to the observed soil thermal regime in a patterned ground soil in Maritime Antarctica. The study was carried out at Keller Peninsula, King George Island, Maritime Antarctica. Six soil temperatures probes were installed at different depths (10, 30 and 80 cm) in the polygon center (Tc) and border (Tb) of a patterned ground soil. We applied cross-correlation analysis and standardized series were related to the Antarctic Oscillation Index (AAO). The estimated active layer thickness was approximately 0.75 cm in the polygon border and 0.64 cm in the center, indicating the presence of permafrost (within 80 cm). Results indicate that summer and winter temperatures are becoming colder and warmer, respectively. Considering similar active layer thickness, the polygon border presented greater thawing days, resulting in greater vulnerability to warming, cooling faster than the center, due to its lower volumetric heat capacity (Cs). Cross-correlation analysis indicated statistically significant delay of 1 day (at 10 cm depth) in the polygon center, and 5 days (at 80 cm depth) for the thermal response between atmosphere and soil. Air temperature showed a delay of 5 months with the climate variability models. The influence of southern winds from high latitudes, in the south facing slopes, favored freeze in the upper soil layers, and also contributed to keep permafrost closer to the surface. The observed cooling trend is linked to the regional climate variability modes influenced by atmospheric circulation, although longer monitoring period is required to reach a more precise scenario

Regiões homogêneas e tamanho de amostra para atributos do clima no Estado de São Paulo, Brasil Homogeneous regions and sample size for attributes of the climate in São Paulo State, Brazil

Os objetivos deste trabalho foram demarcar regiões homogêneas e estimar o número de anos de avaliações para as variáveis insolação, radiação solar global e radiação fotossinteticamente ativa para o Estado de São Paulo. Utilizaram-se dados da média mensal de insolação, radiação solar e radiação fotossinteticamente ativa de 18 locais do Estado de São Paulo. A homogeneidade das variâncias entre os meses do ano para os 18 locais (variabilidade temporal) e a homogeneidade das variâncias entre os locais em cada mês (variabilidade espacial) foram testadas pelo teste de homogeneidade de Bartlett. Estimou-se o tamanho de amostra para cada local durante o ano. Como resultados há variabilidade temporal e espacial para as estimativas de insolação, radiação solar e radiação fotossinteticamente ativa para os 18 municípios avaliados. Além disso, a variabilidade do tamanho de amostra para a insolação, radiação solar e radiação fotossinteticamente ativa depende do local e da época do ano no Estado de São Paulo.<br>The purpose of this study was to separate homogeneous regions and to estimate the numbers of years necessary to evaluate the variables: sunshine, global solar radiation and photossintetically active radiation in Sao Paulo State. Monthly data of sunshine, solar radiation and photossintetically active radiation for 18 places in Sao Paulo State were used in the analysis. The homogeneity of the variances among the months for the 18 places (seasonal variability) and the homogeneity of variances among places in each month (spatial variability) were tested by the test of homogeneity of Bartlett. In addition, the sample size for each place was calculated during the year. The results show the existence of seasonal and spatial variability in the estimates of sunshine, solar radiation and photossintetically active radiation for the 18 cities evaluated in Sao Paulo State. Moreover, the variability of the sample size for sunshine, solar radiation and photossintetically active radiation depend on the site and season of the year in Sao Paulo State