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The empirical relationship between salinity and temperature in the South Atlantic is quantified with the aid of local regression. To capture the spatial character of the TS relationship, models are fitted to data for each point on a three-dimensional grid with spacing of 1° in latitude, 2° in longitude, and 25 dbar in the vertical. To ensure sufficient data for statistical reliability each fit is to data from a region extending over several grid points weighted so that more remote data exert less influence than those closer to the target grid point. Both temperature and its square are used as regressors to capture the curvature seen in TS plots, and latitude and longitude are used to capture systematic spatial variations over the fitting regions. In addition to using statistics of residuals to characterize how well the models fit the data, errors for data not used in fitting are examined to verify the models’ abilities to simulate independent data. The best model overall for the entire region at all depths is quadratic in temperature and linear in longitude and latitude. [ABSTRACT FROM AUTHOR]

In response to the emergence of severe acute respiratory syndrome (SARS), the United States established national surveillance using a sensitive case definition incorporating clinical, epidemiologic, and laboratory criteria. Of 1,460 unexplained respiratory illnesses reported by state and local health departments to the Centers for Disease Control and Prevention from March 17 to July 30, 2003, a total of 398 (27%) met clinical and epidemiologic SARS case criteria. Of these, 72 (18%) were probable cases with radiographic evidence of pneumonia. Eight (2%) were laboratory-confirmed SARS-coronavirus (SARS-CoV) infections, 206 (52%) were SARS-CoV negative, and 184 (46%) had undetermined SARS-CoV status because of missing convalescent-phase serum specimens. Thirty-one percent (124/398) of case-patients were hospitalized; none died. Travel was the most common epidemiologic link (329/398, 83%), and mainland China was the affected area most commonly visited. One case of possible household transmission was reported, and no laboratory-confirmed infections occurred among healthcare workers. Successes and limitations of this emergency surveillance can guide preparations for future outbreaks of SARS or respiratory diseases of unknown etiology. [ABSTRACT FROM AUTHOR]

A novel Legionella species was identified based on analysis of 16S rRNA and mip (macrophage infectivity potentiator) gene sequences, cellular fatty acids, isoprenoid quinones, biochemical reactions, antigens and quantitative DNA-DNA hybridization. Strain CDC-1796-JAP-E(T) was isolated from well water at the Nagasaki Municipal Medical Center, Japan. Two strains, CDC-3041-AUS-E and CDC-3558-AUS-E, were isolated from water samples during an outbreak of legionellosis in South Australia. Strain CDC-5427-OH-H was isolated from a 66-year-old female patient diagnosed with Legionnaires' disease in the US. Cells from these four strains were gram-negative, non-fluorescent, rod-shaped, and positive for alkaline phosphatase, esterase, leucine arylamidase, catalase, gelatinase, β-lactamase and tyrosine browning assay. Phylogenetic analysis of 16S rRNA and mip genes revealed that the four strains formed a distinct cluster within the genus Legionella. The bacteria contained branched-chain fatty acids and quinones that are typical of members of the genus Legionella. Slide agglutination tests demonstrated no cross-reaction with 52 previously described members of the Legionellaceae. DNA-DNA hybridization studies indicated that DNAs from the four strains were highly related (78-84 %) but they showed 29 % relatedness to Legionella oakridgensis ATCC 33761(T) and less than 10 % to strains of other Legionella species tested. These characterizations suggest that the isolates represent a novel species, for which the name Legionella nagasakiensis sp. nov. is proposed; the type strain is CDC-1796-JAP-E(T) ( = ATCC BAA-1557(T) = JCM 15315(T)).