# 12.5.1  Epidemic monitoring charts using ‘second largest number’ method

An epidemic monitoring chart is a chart drawn on a large sheet of paper. The x-axis (bottom or horizontal axis) of the chart shows the number of weeks, and the y-axis (the left-side, or vertical axis) shows the number of malaria cases (see Figure 12.2).

The epidemic monitoring chart is a tool that you can use only if you have data on malaria cases for the past five years.

You construct the epidemic monitoring chart using the second largest number seen on a weekly basis, in order to determine the expected number of malaria cases in your village.

Figure 12.2  Epidemic Monitoring Chart. (You will use this to complete SAQ 12.5.)

Weeks are labelled as 1, 2, 3, 4 up to 52, which sometimes becomes 53. They are World Health Organization (WHO)’s epidemiological weeks. Week 1 always starts around the end of Tahsas. Note that every week starts on Monday and ends on Sunday. Table 12.1 shows the exact dates of the start of the weeks for the Ethiopian calendar (EC) for 2003, 2004, 2005 and part of 2006. Following the same pattern, you can calculate the week number for any year in the future.

## Table 12.1  WHO epidemiological weeks for 2003–2006 in the Ethiopian calendar (EC).

Week No2003/2004 EC2004/2005EC2005/2006 EC
Week 1Tahsas 25–Tir 1/2003Tahsas 23–29/2004Tahsas 22–28/2005
Week 2Tir 2–8/2003Tahsas 30–Tir 6/2004Tahsas 29–Tir 5/2005
Week 3Tir 9–15/2003Tir 7–13/2004Tir 6–12/2005
Week 4Tir 16–22/2003Tir 14–20/2004Tir 13–19/2005
Week 5Tir 23–29/2003Tir 21–27/2004Tir 20–26/2005
Week 6Tir 30–Yekatit 6/2003Tir 28–Yekatit 4/2004Tir 27–Yekatit 3/2005
Week 7Yekatit 7–13/2003Yekatit 5–11/2004Yekatit 4–10/2005
Week 8Yekatit 14–20/2003Yekatit 12–18/2004Yekatit 11–17/2005
Week 9Yekatit 21–27/2003Yekatit 19–25/2004Yekatit 18–24/2005
Week 10Yekatit 28–Megabit 4/2003Yekatit 26–Megabit 2/2004Yekatit 25–Megabit 1/2005
Week 11Megabit 5–11/2003Megabit 3–9/2004Megabit 2–8/2005
etc.etc.etc.etc.
Week 35Nehase 23–29/2003Nehase 21–27/2004Nehase 20–26/2005
Week 36Nehase 30–Pagume 6/2003Nehase 28–Pagume 4/2004Nehase 27–Pagume 3/2005
Week 37Meskerem 1–7/2004Pagume 5–Meskerem 6/2005Pagume 4–Meskerem 5/2006
Week 38Meskerem 8–14/2004Meskerem 7–13/2005Meskerem 6–12/2006
etc.etc.etc.etc.
Week 51Tahsas 9–15/2004Tahsas 8–14/2005Tahsas 7–13/2006
Week 52Tahsas 16–22/2004Tahsas 15–21/2005Tahsas 14–20/2006

## Steps for plotting an epidemic monitoring chart

To establish a threshold or reference line for the expected number of malaria cases, you need to have data for malaria cases over the past five years, week by week (as shown in Table 12.2). Using the data you need to follow the steps below to graphically plot the relevant information on the epidemic monitoring chart. This will help you to detect a possible malaria epidemic as early as possible.

### Table 12.2  The number of malaria cases per numbered week in each year from 1998–2002 (EC), the second largest number of cases per numbered week over this period, and the number of cases per week in the current year (2003).

Week No.1998 1999200020012002Second largest number (1998–2002)Current year (2003)
1 842 636143620
212422738173822
310424349214335
420173459323437
534174620303436
618103422232330
712193324252529
837102741233732
932183729263230
1031242817132825
11221922122322
........
51264034323939
52233510272527

Step 1  The villages that your Health Post serves is your catchment area. Therefore the data you use to determine the upper limit of the expected number of malaria cases are the cases from your catchment area.

Step 2  Check whether your data are arranged in weeks, as indicated in Table 12.2. One of the sources of the weekly data is the weekly surveillance report that you send to the higher level health facility. The weeks you use are the same as those used in your weekly surveillance report.

Step 3  Tabulate your malaria case data for the previous five to six years (as in Table 12.2). Look at the data: if there was a major epidemic with a large number of malaria cases in the previous five years ignore that year and consider data from the year before.

Step 4  If you have weekly data on malaria cases for five years, note the second largest number of cases from the previous 5 years’ data for a particular week. For example in the five years from 1998 to 2002 (EC), the second largest number of cases during week one is 36, and in week two it is 38 (see Table 12.2). Identify the second largest number of cases for each of the 52 weeks.

Step 5  Plot the second largest number for each week on the epidemic monitoring chart. The line in blue ink in Figure 12.3 is a plot of the upper limit or second largest number, based on the data in Table 12.2. (Note that not all the data plotted in Figure 12.3 are shown in Table 12.2, for reasons of space). This line represents the normal upper limit for the number of cases, or the expected cases of malaria, in the catchment area. It is called the reference line, because it serves as a reference point with which to compare weekly data on malaria cases for the following year.

Figure 12.3  Sample epidemic monitoring chart with reference line (blue) plotted using the second largest number of cases per numbered week from 1998–2002 (see Table 12.2). The red line shows the number of cases of malaria in the ‘current’ year, 2003 (see data in Table 12.2).

Step 6  During the following year (in the case of Table 12.2 this is 2003, EC), using a different colour of ink, plot the number of malaria cases seen each week on the epidemic monitoring chart (on which you already have the reference line). Plot the previous week’s data on Monday morning.

Step 7  If the number of cases for a particular week in 2003 exceeds the number on the reference line, it indicates the beginning of an epidemic. For example in Table 12.2, in weeks 4, 5 and 6, the number of malaria cases seen are above the reference line. Therefore, by definition, there is an epidemic in these weeks. We say an epidemic has stopped when the weekly number of cases drops below the reference line.

Step 8  After data from all 52 weeks have been plotted for comparison with the reference line, you should draw a new reference line, using the most recent five-year data, to use for the following year. For example in Table 12.2 you would drop the 1998 data, and using the 1999–2003 data, identify a new second largest number for each week. Then using the new second largest number, you would plot the new reference line, against which you would plot data from 2004.

12.5  Detection of malaria epidemics

12.5.2  ‘Doubling of cases in a week method’