morbidity rates

24
Dr.Noura Abouammoh Dr. Afnan Younis

Upload: teegan-tran

Post on 02-Jan-2016

39 views

Category:

Documents


1 download

DESCRIPTION

Morbidity Rates. Dr.Noura Abouammoh Dr. Afnan Younis. Learning Objectives. Define and calculate measure of frequency of disease (Prevalence, Incidence, Attack rate) Be able to decide when to use them Be able to interpret the results. Reminder-The epidemiological approach. 5 Ws. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Morbidity Rates

Dr.Noura Abouammoh

Dr. Afnan Younis

Page 2: Morbidity Rates

Define and calculate measure of frequency of disease (Prevalence, Incidence, Attack rate)

Be able to decide when to use them Be able to interpret the results

Page 3: Morbidity Rates

5 Ws.

So what? - Prevention and control

Page 4: Morbidity Rates

Distinguish between case and an episode- Case e.g. Poliomyelitis.- Episode e.g. an asthma attack requiring admission.

Page 5: Morbidity Rates

If 75 cases of TB in village A and 25 cases in village B, is TB commoner in village A?

Page 6: Morbidity Rates

The total number of cases of a disease in a given population at a specific time.

Page 7: Morbidity Rates

Prevalence = No. of cases with the disease at a point in time/Total no. of people in defined pop. at same point in time X 10n

Point vs. period

Page 8: Morbidity Rates

1000 men were working in factory A were screened for HIV on 1 January 2002 and 50 of them were found to be positive for HIV antibodies. The screening was repeated in the same 1000 men on 1 January 2003 and this time 62 men were positive, including the 50 men who were positive on the first screening.

What is the prevalence of HIV in men working in factory A on 1 January 2002 and 1 Jan 2003?

Page 9: Morbidity Rates

No. of prevalent cases at 1 January 2002= 50

No. persons in the pop. In January 2002=1000

Therefore, the prevalence at January 2002=50 / 1000 X 1000 = 50/1000

Page 10: Morbidity Rates

No. of prevalent cases at January 2003= 62No. of persons in the population at 1

January 2003= 1000

Therefore, the prevalence at 1 January 2003= 62/1000 X 1000 = 62/1000

Page 11: Morbidity Rates

Parents of 700 children in village A were asked if their children have developed diarrhoea during the past 3 weeks. 200 children had a positive history of diarrhoea.

Calculate the prevalence.

Page 12: Morbidity Rates

No. of cases = 200 No. of population = 700 Prevalence = 200/700 X 1000 =

285/1000

Page 13: Morbidity Rates

Frequency of new cases of disease in a defined pop. during a specified time period

Page 14: Morbidity Rates

Incidence= No. of new cases with disease in a specified time period/ No. of disease free people at the start of the time period X 10n

Disease free people = pop. at risk

Page 15: Morbidity Rates

Prevalence:- Useful in health care settings e.g.

estimate services required.

- Cannot study cases that got better or died.

Incidence:- Useful for investigating causal

relationships and risk factors.

Page 16: Morbidity Rates

1000 men were working in factory A were screened for HIV on 1 January 2002 and 50 of them were found to be positive for HIV antibodies. The screening was repeated in the same 1000 men on1 January 2003 and this time 62 men were positive, including the 50 men who were positive on the first screening.

What is the incidence of HIV infection in men working in factory A in 2003?

Page 17: Morbidity Rates

No. of new cases in 2003= 12No. of persons at risk of HIV infection in

January 2003 = 1000 – 50 = 950

The incidence of developing HIV infection = 12/950 X 1000= 12.6/1000

Page 18: Morbidity Rates

An attack rate is a variant of an incidence

rate, applied to a narrowly defined population

observed for a limited time, such as during an

epidemic.

The attack rate is usually expressed as %

percent.

Page 19: Morbidity Rates
Page 20: Morbidity Rates

Of 100 persons who attended a dinner party, 35 subsequently developed gastroenteritis.

Calculate the attack rate of

gastroenteritis

Page 21: Morbidity Rates

Attendees = 100ILL = 35Attack rate = (35 ÷ 100) X 100 = 35%

Page 22: Morbidity Rates

In a university student has got H1N1 flu. She attended a class of 80 students, of which 12 students got the flu 5 days later.

Calculate the attack rate of the flu.

Page 23: Morbidity Rates

Class = 80ILL :• new cases= 12• old case = 1• At risk students= 80 - 1 = 79Attack rate = (12 ÷ 79) X 100 = 15%

Page 24: Morbidity Rates