Data presentation Tables, graphs and maps Integrated Disease Surveillance Programme (IDSP) district surveillance officers (DSO) course
2 Outline of the session 1.Analogical versus digital information 2.Tables 3.Graphs 4.Maps
3 Communicating quantitative information Analogical communication: Graphs Less precise More graphic Provides overall understanding Digital communication: Tables Precise Numeric Provides detailed and exact description 7:00 am Digital and analogical information
4 Number of cases Month of onset Cases of monkeypox by month of onset, Katako-Kombe, Zaire, FebMarAprMayJun 1996 JulAugSepOctNovDecJan 1997 Feb Secondary cases Primary cases Example: Analogical display of information (Graph) WHO-CDC Digital and analogical information
5 Cases of Monkeypox by month of onset, Katako-Kombe, Zaire, Example: Digital display of information (Table) Digital and analogical information
6 Tables Presentation of detailed analyzed data Do not present raw data E.g., lists Present analyzed data with summary statistics Tables
7 Column headings Data Footnotes Title Row headings Typical table layout with components
8 Tables How to make sure that the cells of the table are understandable without referral to other material Title Time, Place and Person information Any measurement found in all columns Row and column headings Content of the row or column Any modifier applied to all cells of a row or column Unit of measurement (Abbreviations, if necessary) Footnotes Clarify potential ambiguities Explain abbreviations, symbols, codes Note exclusions Mention data source
9 Selected suggestions for data arrangement in tables 1.Summarize rows and columns 2.Compare numbers in columns 3.Arrange key data by magnitude 4.Align numbers by decimal Tables
10 YearMF Both Sexes Mean Summary of the columns Summary of the rows 1. Summarize rows and columns Summarize rows and columns with totals, averages or other statistics Tables
11 Compare numbers in columns Difficult to compare numbers in rows st improvement: Right-justify numbers vertically nd improvement: Sort numbers 2. Compare numbers in columns Tables
12 Organize data by magnitude Exposure Cases (1000s)Rate A112.9 B069.9 C345.4 None Arrange key data by magnitude Tables Which is the most important column you would use to sort the table? Exposure Cases (1000s)Rate B69.9 C345.4 A112.9 None272.3
13 Align columns by decimal Difficult to compare numbers in rows Keeping the zeros or not is a question of personal style 4. Align numbers by decimal Tables
14 Age distribution of a sample of 100 villagers Example of one way table: Data tabulated by one variable Age group (years)Number Total100 Tables
15 Example of two way table: Data tabulated by two variable Age group (years)MaleFemaleNumber Total Age and sex distribution of a sample of 100 villagers Tables
16 Incidence of cholera by age and sex, Kachua, West Bengal, India, 2004 PopulationCases Incidence per thousand Age group (years) Sex Male Female Total1, Classical table of incidence by age and sex
17 Use one graph to get one general idea across Don’t use a graph if there is nothing to say Frame the idea to communicate Identify the graph that matches this idea Eliminate unnecessary information If there are two ideas, use two graphs Add a title with time, place and person information Graphs
18 Proportion of eligible patients whose blood slides were examined for malaria, Dhenkanal district, Orissa, Years Proportion (%) Is the graph useful? Graphs
19 Keep the ink-to-data ratio low All elements on a graph must be justified Eliminate distracting, non-essential elements Secondary axis Gridlines 3-D effects Bordering lines Etc… Graphs
20 Dracunculiasis rates, India, (High ink to data ratio) Graphs Number of cases Year
21 Dracunculiasis rates, India, (Simpler, better, low ink-to-data ratio) Graphs Year Number of cases
22 Choosing a type of graph Graphs
23 Malaria in Kurseong block, Darjeeling District, West Bengal, India, Months Incidence of malaria per 10,000 Incidence of malaria Incidence of Pf malaria Line graph for time series Graphs
24 Histogram to display a frequency distribution Graphic representation of the frequency distribution of a continuous variable Rectangles drawn in such a way that their bases lie on a linear scale representing different intervals Areas are proportional to the frequencies of the values within each of the intervals No spaces between columns No scale breaks Equal class intervals Epidemic curve is an example of histogram with time on the x axis Graphs
> 300 Urinary Iodine Excretion levels (µg/L) Percentage Histogram Urinary iodine excretion status, 24 N Parganas, West Bengal, India, 2004 Graphs
26 Acute hepatitis by week of onset in 3 villages, Bhimtal block, Uttaranchal, India, July st week 2nd week 3rd week 4th week 1st week 2nd week 3rd week 4th week 1st week 2nd week 3rd week4th week 1st week 2nd week 3rd week4th week 1st week MayJuneJulyAugustSeptember Week of onset Number of cases Epidemic curve Graphs
27 Proportions of a total presenting selected characteristics Breakdown of a total in proportions: Pie chart Breakdown of more than one total into proportion: Juxtaposed bar charts cumulated to 100% Graphs
28 Road 10% Fall 32% Bites 16% Burns 7% Minor injuries 35% Types of unintentional injuries, Tiruchirappalli, Tamil Nadu, India, 2003 Incidence: 9.6 per 100 person-month (95% C.I Pie chart for the breakdown of a total in proportions Graphs
29 Estimated and projected proportion of deaths due to non-communicable diseases, India, % 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Year Proportion (%) Injuries Communicable diseases Non communicable diseases Cumulated bar chart for the breakdown of more than one total in proportions Graphs
30 Comparing proportions No logical order: Horizontal bar chart Sort according to decreasing proportions Logical order: Vertical bar chart Graphs
31 Causes of non vaccination as reported by the mothers, Bubaneshwar, Orissa, India, %20%40%60%80%100% Lack of money Lack of facility Lack of time Lack of motivation Irregularity by health staff Child sick Lack of awareness India FETP Horizontal bar chart Graphs
Age group (years) % Male Female Prevalence of hypertension by age and sex, Aizawl, Mizoram, India, 2003 Vertical bar chart Graphs
33 Maps Use maps to display information by place Do not use tables! Two types of maps: Spot maps Incidence maps Use a key Add a title with time, place and person information Maps
34 Drawing a spot map during an outbreak investigation Rough sketch of the setting of an outbreak One dot = One case Other locations of potential importance are also recorded Does not adjust for population density Maps
35 Cholera cases by residence, Kanchrapara, N-24 Parganas, West Bengal, India, 2004 Spot map - Does not adjust for population density Maps
36 An incidence map adjusts for population density List the cases Regroup cases by location for which population denominator is available Look up census data Divide the number of cases by the population denominator Choose gradients of colours to represent increasing levels of prevalence Maps
37 Cholera attack rate and water supply, Sirunavalur, Tamil Nadu, India, 2002 Centre east Valluvar | street Main road PL street Reddiar street MuthurajaColony 0-5% 5 –10 % > 10 % Attack rate by area Old well used only in the summer Water tank filled with well water Main road Incidence map - Adjusts for population density Maps
38 Preparing an incidence rate map: What you will need A hardcopy of your map A transparency Cello tape Permanent markers Computer Drawing software Incidence by geographical area
39 Step 1: Place transparency on the hardcopy of map to draw map with permanent marker
40 Step 2: Stick the transparency on the screen with cello tape and follow the guide to draw map with the mouse in a drawing software
41 Step 3: Remove the transparency and edit the map in the drawing software
42 Step 4: Filling the map with data Have a table of incidence by area Rank the areas by increasing level of incidence Sort the areas in four groups in which there is about the same number of area Add a fifth group if needed for incidence = 0 Assign a colour per group Draw the map
Rate of disease X by country, South East Asia WHO region, 200X Yearly incidence per 100,
44 Using colours in maps The cold / warm scale Represents violent contrasts Increasing density in one colour Represents increasing levels of magnitude Complementary colours Use equivalent intensity Represents unrelated notions Maps
45 Take home messages 1.Choose whether you want to represent an overall message (Analogical) or whether you want to describe detailed data (digital) 2.Present analyzed data in tables with summary rows and columns 3.Display general ideas in graphs that carry one single message 4.Use maps to display information by place