Scanning electron microscopic observations were made on the morphological structures of the two copulatory spicules of the male Necator americanus and Ancylostoma duodenale. In both species,one of the two copulatory spicules was in the shape of a concave groove and the other, in the shape of an oblate tube. Owing to the difference in the concavity of the groove shaped copulatory spicule between the two species as shown by the cross sections, Necator americanus usually appear to have only one copulatory spicule whereas Ancylostoma duodenale usually show two separate copulatory spicules in appearance (Figs 1 -10).

Objective To investigate potential problems and solutions within the data of national surveillance of Keshan disease(KSD), to improve the quality of surveillance data and the reliability of the results. Methods Four key variables (name, sex, age, and KSD diagnosis) in the national surveillance data of KSD in 2009 were cleaned by SPSS 15.0. Cleaning contents included duplicate records, missing values, outliers and logic errors. Name, sex, age, currently residing in townships and currently residing in villages and other variables were combined into different filters to find duplicate records by the command of Identify Duplicate Cases , then the duplicate records were returned to the data reporting agencies, and finally delete or merge. Data with missing values, outliers, or logical errors were found by commands of Frequencies, Descriptives and Select if, then the duplicate records were returned to the data reporting agencies. Data were revised based on not only the feedback , but also by using the relationship between variables, and by consulting KSD clinical experts. Results Four hundred and sixty-four cases of duplicate records were found and cleaned. The number of missing values was 2 047 (specifically, name 0, sex 3, age 32 and KSD diagnosis 2 012). The number of outliers was 1 988 (specifically, name 6, sex 3, age 10 and KSD diagnosis 1 969). The records of 5 kinds of logic errors of KSD diagnosis were 105 in all. Conclusion There are duplicate records, missing values, outliers and logic errors in the national surveillance data of KSD, cleaning work could improve the quality of surveillance data, ensure the authenticity and rliability of the monitoring data.