title: Use of verbal autopsy to determine mortality patterns in an urban slum in Kolkata, India.
abstract: OBJECTIVE
  To define mortality patterns in an urban slum in Kolkata, India, in the context of a cholera and typhoid fever project.
  
  
  METHODS
  In a well-defined population that was under surveillance for 18 months, we followed a dynamic cohort of 63 788 residents whose households were visited monthly by community health workers to identify deaths. Trained physicians performed verbal autopsies and experienced senior physicians assigned the primary cause of death according to the International classification of diseases, 10th edition. We tabulated causes of death in accordance with Global Burden of Disease 2000 categories and assessed overall and cause-specific mortality rates per age group and gender.
  
  
  RESULTS
  During 87 921 person-years of follow-up, we recorded 544 deaths. This gave an overall mortality rate of 6.2 per 1000 person-years. We assigned a cause to 89% (482/544) of the deaths. The leading causes of death, in descending order, were cardiovascular diseases (especially among adults aged over 40 years), cancer, respiratory ailments and digestive disorders. Most deaths in children under 5 years of age were caused by tuberculosis, respiratory infections and diarrhoeal diseases.
  
  
  CONCLUSIONS
  Although the most common causes of death in children were infectious, non-communicable diseases were predominant among adults. There is a need for continuing interventions against infectious diseases in addition to new and innovative strategies to combat non-infectious conditions.
authors.affiliation: National Institute of Cholera and Enteric Diseases, Kolkata, India.
authors.forename: Suman
authors.initials: S
authors.lastname: Kanungo
authors.forename: Ataru
authors.initials: A
authors.lastname: Tsuzuki
authors.forename: Jacqueline L
authors.initials: JL
authors.lastname: Deen
authors.forename: Anna Lena
authors.initials: AL
authors.lastname: Lopez
authors.forename: Krisnan
authors.initials: K
authors.lastname: Rajendran
authors.forename: Byomkesh
authors.initials: B
authors.lastname: Manna
authors.forename: Dipika
authors.initials: D
authors.lastname: Sur
authors.forename: Deok Ryun
authors.initials: DR
authors.lastname: Kim
authors.forename: Vinay Kumar
authors.initials: VK
authors.lastname: Gupta
authors.forename: R Leon
authors.initials: RL
authors.lastname: Ochiai
authors.forename: Mohammad
authors.initials: M
authors.lastname: Ali
authors.forename: Lorenz
authors.initials: L
authors.lastname: von Seidlein
authors.forename: Sujit K
authors.initials: SK
authors.lastname: Bhattacharya
authors.forename: John D
authors.initials: JD
authors.lastname: Clemens
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D015331:Cohort Studies; D005260:Female; D006801:Humans; D007194:India / Q000453:epidemiology; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D009026:Mortality; D011203:Poverty / Q000706:statistics & numerical data*; D018571:Sentinel Surveillance; D017678:Sex Distribution; D014505:Urban Population / Q000706:statistics & numerical data*