EPI Flashcards
- Questions answered by DESCRIPTIVE
EPIDEMIOLOGY include the following EXCEPT.
A. What specific age groups are affected by the
disease?
B. Is there a specific region in the country where the
disease predominantly occurs?
C. How was the disease transmitted?
D. Has there been an increase in the prevalence of
the illness in the last five years?
C. How was the disease transmitted?
(Remember: when talking about descriptive
epidemiology, we talk of time, place and person)
- The MOST important HOST characteristic affecting
disease occurrence is:
A. gender C. occupation
B. age D. civil status
B. Age
- Which of the following factors would LEAST likely
account for differences in pattern of occurrence of
disease based on GENDER?
A. biologic differences
B. differences in lifestyles and habits
C. differences in health seeking behavior
D. differential exposure to environmental factors
C. differences in health seeking behavior
- Which pattern of disease distribution according to TIME
would be most appropriate to monitor for chronic NONCOMMUNICABLE
DISEASES like malignant
neoplasms?
A. short-term fluctuation C. seasonal pattern
B. secular trend D. all of the above
B. secular trend
Remember: Secular trend (long-term)
- Which pattern of disease distribution according to TIME
would be most appropriate to monitor for
COMMUNICABLE DISEASES like leptospirosis?
A. short-term fluctuation
B. secular trend
C. seasonal pattern
D. epidemic curve
A. short-term fluctuation- also an epidemic
B. secular trend
C. seasonal pattern- cyclic
D. epidemic curve
(Remember: Short-term is also an epidemic, seasonal
pattern (cyclic))
C is the answer
A rapidly emerging disease outbreak that affects a wide
range of geographically distributed populations is
referred to as a/an:
A. endemic disease C. pandemic disease
B. epidemic disease D. none of the above
C. pandemic disease
For numbers 7 to 10, refer to the case scenario below ( from
Neurology Asia, Vol. 14:pages 73-76, 2009).
In late September 1998, an outbreak of acute febrile
encephalitis (i.e. fever, drowsiness, seizure, comatose,
respiratory distress) associated with high mortality was
reported in Kinta, a district in Perak, Malaysia, among pigfarming
community. This was subsequently followed by
another outbreak in three districts in Negeri Sembilan
namely (1) Sikamat, (2) Sungai Nipah and (3) Hukit
Pelanduk, from December 1998 through February 1999.
The later outbreak was associated with the movement of
pigs from Kinta district and between farms. Experts initially
believed the outbreak was caused by a mammalian virus,
with pigs being one of its hosts.
Subsequent epidemiologic investigations led to the eventual
discovery of the NIPAH VIRUS in March 1999, a highly
virulent virus of the Paramyxoviridae family, as the
etiological agent of this fatal outbreak— NIPAH
ENCEPHALITIS. The Nipah virus is a single stranded RNA
virus, belonging to the family Paramyxoviridae in the
subfamily Paramyxovirinae in the genus Henipavirus that it
shares with HENDRA VIRUS. There is an apparent high
mutation rate with this virus and the Nipah virus has the
inherent ability to infect across many mammalian species
(i.e. DOGS, CATS, FERRETS, PIGS, HORSES). This
prompted the search for the virus among FRUIT BATS, the
natural host and vector of the Hendra virus ( which is closely
and genetically related to the Nipah virus). Surveillance of
wildlife species during the outbreak using a novel collection
method isolated the Nipah virus from the urine and saliva of
fruit bats of the PTEROPUS family, namely Pteropus
hypamelanus.
Further academic research studies have shown that the
Nipah virus could be transmitted from bat-to- human and
from human-to-human. Wildlife studies have also shown that
the virus was widely distributed in at least 10 genera and 23
species of bats in a large part of Asia-Pacific and Africa— a
region that stretches from Australia and Southern China and
from Indonesia to as far as Ghana, a region with a total
population of more than 1.4 billion people. As bats are long
distant flying, gregarious animals living in large colonies,
which could exchange novel viruses from one species to
another, it is not unexpected that the seroprevalence of
Henipavirus among bat colonies is relatively high. The
widespread distribution of both the Henipavirus and its hosts
also means that the virus will remain an important cause of
zoonotic disease.
EPIDEMIOLOGY variables/factor:
A. PERSON factor
B. TIME factor
C. PLACE factor
D. B and C
E. A, B and C
7. In March 1999, a similar illness was reported among
eleven abattoir ( slaughter- home) workers in
Singapore, with one fatality. The pigs were imported
from the 1998 outbreak region in Malaysia.
E. (PERSON- slaughter house workers, TIME- March
1999, PLACE-slaughter house in Singapore)
EPIDEMIOLOGY variables/factor: A. PERSON factor B. TIME factor C. PLACE factor D. B and C E. A, B and C
Refer to the case:
8. Since the initial outbreak in Malaysia, small outbreaks
of Nipah encephalitis have been reported almost
annually in Bangladesh.
D
EPIDEMIOLOGY variables/factor: A. PERSON factor B. TIME factor C. PLACE factor D. B and C E. A, B and C
- In India, individuals who consume raw date palm sap
contaminated with infectious bat excretions are believed
to be at higher risk of developing Nipah encephalitis.
A
EPIDEMIOLOGY variables/factor: A. PERSON factor B. TIME factor C. PLACE factor D. B and C E. A, B and C
Experts have theorized that there is higher incidence of
Nipah encephalitis during the migration and breeding/
reproductive cycles of the fruit bats.
D
For numbers 11 to 15, refer to the actual vital statistics from Bacoor, Cavite in 2013: HEALTH INDICES: DATA Estimated Population Census (as of 07-01-13) 588,256 Total Death 1,237 Death Under Five Years Old 26 Stillbirth 3 Deaths Under One Year Old 18 Maternal Deaths 5 Live Births 3,284
- The OVER-ALL INDEX OF THE HEALTH status of
Bacoor City in the year 2013 is measured as:
A. 18 / 3,284 C. 5 / 3, 284
B. 18 / 588, 256 D. 1,237 / 588, 256
A. 18 / 3,284
For numbers 11 to 15, refer to the actual vital statistics from Bacoor, Cavite in 2013: HEALTH INDICES: DATA Estimated Population Census (as of 07-01-13) 588,256 Total Death 1,237 Death Under Five Years Old 26 Stillbirth 3 Deaths Under One Year Old 18 Maternal Deaths 5 Live Births 3,284
- The measure of ADEQUACY AND ACCESSIBILITY OF
HEALTH SERVICES in Bacoor City is:
A. 18 / 3,284 C. 5 / 3,284
B. 18 / 588,256 D. 1,237 / 588,256
A (looking for Maternal Mortality Rate which is the number
of maternal deaths or pregnancy related deaths divided
by no. of livebirths)
For numbers 11 to 15, refer to the actual vital statistics from Bacoor, Cavite in 2013: HEALTH INDICES: DATA Estimated Population Census (as of 07-01-13) 588,256 Total Death 1,237 Death Under Five Years Old 26 Stillbirth 3 Deaths Under One Year Old 18 Maternal Deaths 5 Live Births 3,284
- What is the RISK OF DYING BEFORE BIRTH?
A. 3 / 3,284 C. 5/ 1,237
B. 3/ 1,237 D. 3 / 588,256
A. 3 / 3,284
For numbers 11 to 15, refer to the actual vital statistics from Bacoor, Cavite in 2013: HEALTH INDICES: DATA Estimated Population Census (as of 07-01-13) 588,256 Total Death 1,237 Death Under Five Years Old 26 Stillbirth 3 Deaths Under One Year Old 18 Maternal Deaths 5 Live Births 3,284
14. The RISK OF DYING FROM DENGUE is computed as? A. 178/ 588,256 B. 178/ 1,237 C. 178/ 1,755 D. 178/3,284
A. 178/ 588,256
For numbers 11 to 15, refer to the actual vital statistics from Bacoor, Cavite in 2013: HEALTH INDICES: DATA Estimated Population Census (as of 07-01-13) 588,256 Total Death 1,237 Death Under Five Years Old 26 Stillbirth 3 Deaths Under One Year Old 18 Maternal Deaths 5 Live Births 3,284
15. The MAGNITUDE OF DEATH FROM DENGUE is composed as: A. 178/ 588, 256 B. 178/1,237 C. 178/1,785 D. 178/3,284
B. 178/1,237
Based on the figure above, how will you compute for the HEALTHY LIVE YEARS LOST? A. (0.40 x 40) – (1.0X 10) B. (0.6 X 40) – (1.0X 10) C. (1.0X10) – (0.6X40) D. (0.6X10) – (0.4X40)
A. (0.40 x 40) – (1.0X 10)
- In hospital statistics, this usually indicates a breach of
aeseptic technique, isolation and proper patient
handling:
A. high net morbidity rate
B. high anesthesia death rate
C. low post operative infection rate
D. high net death rate
A. high net morbidity rate
- This might indicate the hospital staff or doctors are
doing clandestine or illicit procedures for finanficl gain:
A. high dilation and cuerrage (D&C) rate
B. high enesthesia death rate
C. low post-operative infections rate
D. high net death rate
A. high dilation and cuerrage (D&C) rate
- The following is/are TRUE regarding DIRECT
STANDARDIZATION of rates?
a. It is used when stramm- specific rates are
stable.
b. It uses a standard age specific death rates as
a basis for the standardization
c. It entails the use of a standardized mortality
ration
d. All of the above
A It is used when stramm- specific rates are
stable.
- A low SWAROOP-EUMURA index means:
a. A high infant mortality rate (IMR)
b. Longer life expectancy
c. Success in the control of communicable
diseases
d. All of the above
A A high infant mortality rate (IMR)
For numbers 21 to 25, refer to the scenario below:
A newly appointed public health doctor (rural health officer)
needs to know the health state of the ocmmunity he is
assigned to. He is pressed for time as he is expected to
develop a health plan within a month.
- He reviews records of his new office. What favors using
such information at this point?
a. Information on patients’ health state is
complete
b. Clinical data are encoded by health
professional
c. Easy and quick means of obtaining general
information
d. Informatuon obtained by this doctor is primary
data
C Easy and quick means of obtaining general
information
- The doctor also needs information on the frequency and
causes of death experienced in this community over the
last five (5) years. His best source for such date will be:
a. Hospital records of deaths
b. Civil registries of vital events
c. Medical practitioner’s patient records
d. Local notifiable diesase reports
b. Civil registries of vital events