From 63813ee4a7d2d8049b487a174459587a3a64b42d Mon Sep 17 00:00:00 2001 From: Catherine Miller Date: Sat, 8 Mar 2014 14:24:24 -0500 Subject: [PATCH] Add html example. --- .../Medic_Mobile_Vaccine_worksheet.html | 337 ++++++++++++++++++ 1 file changed, 337 insertions(+) create mode 100644 Medic_Mobile_Vaccine_worksheet/Medic_Mobile_Vaccine_worksheet.html diff --git a/Medic_Mobile_Vaccine_worksheet/Medic_Mobile_Vaccine_worksheet.html b/Medic_Mobile_Vaccine_worksheet/Medic_Mobile_Vaccine_worksheet.html new file mode 100644 index 0000000..d8ad698 --- /dev/null +++ b/Medic_Mobile_Vaccine_worksheet/Medic_Mobile_Vaccine_worksheet.html @@ -0,0 +1,337 @@ + + + + + + + +Medic Mobile ANC effectiveness worksheet + + + + + + + + + + + + + + + + + + +

Medic Mobile ANC effectiveness worksheet

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Synopsis

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The purpose of this worksheet is to estimate the effectiveness of childhood vaccination programs on a population.

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Instructions

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Every time you see a sentence in boldface, go to the R markdown source document and enter the requested value.

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Software Versions Tested

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Preparation

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What is the name of the country?

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country.name <- "Kenya"
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What is the first year you will be modeling an increase in vaccine coverage? Must be the current year or later.

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first.anc.year <- 2015
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How many children will the program serve in 2015?

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n.child.covered <- 5000
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You are embarking on vaccine projection for Kenya. The year you want to model an increase in coverage is 2015.

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Initialize Spectrum

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Launch Spectrum. (If this is your first time, proceed to the next step now. If this is not your first time, make sure all your previous projection are closed: in the Home tab, select Close → All Projections.)

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Click New or New projection.

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In the New dialog, under “Set a name…”, set the name for this projection. Make it descriptive of the country, locale and intervention.

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Under “Set year boundaries…”, enter a first year that is at least a full year before the start of the intervention.

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Set the final year to 10 years after the start year.

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In the “Activate modules for use in your projection” area, check the following three boxes.

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  1. Demographic Projection (DemProj)
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  2. AIDS (AIM)
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  3. Lives Saved Tool (LiST)
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In the “Select a country from which to retrieve demographic and other default data”, click Country data and select the country corresponding to 1b. Make sure DemProj, AIM, and LiST are checked (they should already be).

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Click Ok.

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Determine Children in Country

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Click on the Modules tab in the main window.

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Click on the DemProj module.

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Select Results → Age Groups → All Age Groups. You should see a popup titled Configure - All Age Groups.

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The defaults should be fine here. Make sure that First year is 2015 and that Display Interval is Single year.

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Click OK.

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You should now see a tab titled 'Population by age and sex' with a population table in it. There seems to be a bug in this Spectrum version where even if Single year is selected ages are given in five year increments. When this bug is fixed, the 0-1 age group should be used.

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What is the number in the upper left box (2015 Total 0-4)?

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n.child.zero_to_four <- 7334114
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What we are actually interested in is the children age 0-1. Until Spectrum provides this information directly, we can approximate by dividing the 0-4 group by 5. This has obvious inaccuracies; if a better method of obtaining this population size is available it should be used.

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Children 0-1:

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1.4668 × 106

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Scale up Vaccines in LiST

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Make sure you’re in the Modules tab. Select the LiST module.

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Select Coverage. In the dialog, select the Vaccines tab. You’ll see nationally averaged coverage rates already populated in the table. Look at the year in the table corresponding to 2015.

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What is the coverage rate shown for Polio in 2015?

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baseline.polio.coverage.rate <- 88
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What is the coverage rate shown for DTP in 2015?

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baseline.dtp.coverage.rate <- 0
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What is the coverage rate shown for Measles in 2015?

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baseline.measles.coverage.rate <- 93
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In order to compute the new vaccine rates after the intervention, we'll assume that all children in the country not affected by the intervention are subject to the national average rate, and that all children in the intervention have a 100% coverage rate for a given vaccine.

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To compute this we use the formula

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\[ +\frac{\text{default coverage rate} \times (N\text{ all 0-1 children} - N\text{ children covered by this program}) + N\text{ children covered by this program}}{N\text{ 0-1 children}}, + \]

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New Polio Coverage Rate:

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88.3

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New DTP Coverage Rate:

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0.3

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New Measles Coverage Rate:

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93.3

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Now update the coverage rate for those three vaccines in 2015. To do so click the appropriate box and update the value. To update DPT you may need to uncheck the Pentavalent– automatically calculate components checkbox.

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Click Ok to save changes and exit the dialog.

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Now to compute lives saved. Click Results → Child → Additional deaths prevented in children under five years of age relative to impact year. In the dialog, select Table and hit Ok. You should see a table like this.

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Zero or negative numbers mean you haven't prevented any deaths. Positive numbers tell you how many lives you've saved per year. The totals across all age groups appear in the first line of the table.

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