EG3246 Spatial Science & Health Introduction to Basic Epidemiology Dr Mark Cresswell.
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Transcript of EG3246 Spatial Science & Health Introduction to Basic Epidemiology Dr Mark Cresswell.
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EG3246Spatial Science & HealthIntroduction to Basic Epidemiology
Dr Mark Cresswell
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Topics Definition of Epidemiology Statistical measures Ideas of space & time
Modelling and spatial analysis
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Definition of EpidemiologyEpidemiology is the study of the distribution and
determinants of diseases within human populations. Research in this field is based
primarily upon observing people directly in their natural environments.
Greenberg et al. 2005
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Definition of EpidemiologyEpidemiology is the study of the distribution and
determinants of diseases within human populations. Research in this field is based
primarily upon observing people directly in their natural environments.
Greenberg et al. 2005
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Definition of Epidemiology Epidemiologists often refer to a population at
risk These are people who (regardless of their
state of health) would be regarded as a new case if they contracted the disease being studied
Can be country, region, town or GP list
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Definition of Epidemiology A target population may be regarded as a
group studied who are thought to be at a higher risk: e.g. people living within a 10 mile radius of a nuclear power station
A study sample is (usually) a randomly selected sample whose characteristics are often extrapolated to be representative of the larger population
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Definition of Epidemiology The aetiology of a disease is the study of the
agent(s) of causality that causes that disease Aetiology studies often examine levels of
exposure of some agent (e.g. incidence of cancers between people who have lived close to nuclear power stations compared to those who have not)
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Definition of Epidemiology Epidemiology also looks at temporal change How have incidence levels changed over a
period of time? Inherent in this type of analysis is discovery
of a rising or falling trend This is achieved by active or passive
surveillance techniques
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Relationship between Annual Absolute Humidity change, and a Specific Meningitis EpidemicCase statistics, and humidity data refers to Ghana (Gold Coast)
0
1000
2000
3000
4000
5000
September October November December January February March April May
Month (aggregated from 1992/93 for Absolute Humidity, and 1947/48 for Case Data)
Nu
mb
er o
f M
enin
git
is C
ases
14
15
16
17
18
19
20
21
22
Mea
n A
bso
lute
Hu
mid
ity
(g/m
^3)
CSM Cases
Mean Absolute Humidity (g/m^3)
Source: Cresswell, 1998
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Statistical Measures - IncidenceThis is the number of new cases in a particular time period:
P
NI
I = IncidenceN = Number of new cases in a given time periodP = Person years at risk during same time period
Note that person years at risk means the total amount of time (in years) that each member of the population being studied (the study population) is at risk of the disease during the period of interest.
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Statistical Measures - PrevalenceThis is the proportion of current cases in a population at a given point in time:
P = PrevalenceNc = Number of cases in the population at a given point in timeP = Total population at the same point in time
P
NcP
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Statistical Measures – Absolute RiskThe probability of having a disease, for those individuals who were exposed to a risk factor.
Ie
NeRa
Ra = Absolute RiskNe = Number of cases of disease in those exposedIe = Number of individuals exposed
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Statistical Measures – Relative RiskThis is an indication of the risk of developing a disease in a group of people who were exposed to a risk factor, relative to a group who were not exposed to it.
In
IeRR
RR = Relative RiskIe = Disease incidence in exposed groupIn = Disease incidence in non-exposed group
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Statistical Measures – Relative RiskIf RR=1, there is no association between the risk factor and the disease
If RR>1, there is an increased risk of developing the disease if one is exposed to the risk factor (eg. Disease=lung cancer; risk factor=smoking). It suggests that exposure to the risk factor may cause the disease.
If RR<1, there is a decreased risk of developing the disease if one is exposed to the risk factor (e.g. disease=colon cancer; risk factor=eating fresh fruit & veg). It suggests that exposure to the risk factor may protect against the disease.
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Statistical Measures – Other Rates
MYP
NLBBR
NW
NLBFR
NLB
NIIMR
FR = FERTILITY RATENLB = Number of live birthsNW = Number of women aged 15 – 44 years
BR = BIRTH RATENLB = Number of live birthsMYP = Mid-year population
IMR = INFANT MORTALITY RATENI = Number of infant deaths (<1 year old)NLB = Number of live births Source: BMJ, 2005
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Ideas of Space & Time Diseases may typically exist within
geographical limits If the exposure to a hazard is determined by
distance from the source OR If exposure to the hazard is dependent upon
environmental/climatic factors
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Ideas of Space & Time
Nuclear power station & cancers Effects of time & age (source: BMJ, 2005)
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Ideas of Space & Time For a disease to be regarded as endemic, it
must be habitually present in a community of individuals
A sudden and great increase in the occurrence of a disease within a population is referred to as an epidemic.
A rapidly emerging outbreak of a disease that affects a wide range of geographically distributed people is described as a pandemic
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Ideas of Space & Time Hypoendemic means little transmission where
effect on population is negligible Mesoendemic means disease is found in small
isolated communities of varying intensity Hyperendemic refers to intense but seasonal
transmission not affecting all age groups Holoendemic refers to perennial and intense
transmission leading to adult immunity
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Modelling & Spatial Analysis Epidemiological data may be modelled
spatially, temporally or spatio-temporally Disease may be visualised using a GIS Co-factors affecting epidemiological
characteristics (exposure or seasonal cycles such as weather) may be modelled to ascertain risk
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Temporal change in Standardised Death Rate (cases per 100,000) due to Car AccidentsSource: WHO/Europe European Mortality Database, 2005
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Temporal change in Standardised Death Rate (cases per 100,000) due to Heart DiseaseSource: WHO/Europe European Mortality Database, 2005