SciELO - Scientific Electronic Library Online

 
vol.9 número2Empleo de herramientas web en el proceso docente educativo para informatizar procesos inteligentes de aprendizaje 4.0Multimedia. Cirugía bucal. Generalidades índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

  • Não possue artigos citadosCitado por SciELO

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Revista Cubana de Informática Médica

versão On-line ISSN 1684-1859

Resumo

GOMEZ MARTINEZ, Freddy; RUIZ PIEDRA, Alina María; GONZALES OCHOA, Edilberto  e  SOCA GUEVARA, Edelmira Belkis. Detection of symptomatic respiratory in Havana of January to April of 2016 using a sampling aggregate. RCIM [online]. 2017, vol.9, n.2, pp. 144-150. ISSN 1684-1859.

At the present time Tuberculosis (TB) is an illness manteining worldwide level high mortality and morbility and the principal weapon for his control is the fast detection and the cure of infectious cases.1 In Cuba its rate of incidence locates tuberculosis within the countries with bigger possibility of elimination2 for what is necessary to emphasize in the identification and study of the Symptomatic Respiratory the patients with 21 days and more (SR+21) because they classify in some Vulnerable Group (GV). He work we did shows that the apoplication of Conglomerate sampling method is useful in this kind of research.  Half of the patients classified as SR+21 were GV, highlighting third age patients. Our country has rate of hushed incidence with possibilities of elimination of illness2 from there whatever is needed to do emphasis in the identification and study of the Symptomatic Respiratory of 21 days and more (SR+ 21) that they classify in some Vulnerable Group (GV).

Palavras-chave : tuberculosis; sampling; communicable diseases.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License