dhis2-users team mailing list archive

[Paulo Grácio <pgracio@xxxxxxxxxxxxxxxxxxxx>]

@Randy, your solutions seems to be easiest once it reduces the amount of
data to upload, but at the moment our requirement is to have population data
structured as defined by National Institute of Statistics - NIS. 

@Rodolfo, I guess we are at the same step. We are trying to setup an initial
version of dhis2 for some Workshops, and your approach is in the way of what
we need. Now I just need to create a procedure to automatically load all the
data from the source, NIS excel files.

 

Kind regards,

Paulo Grácio 

 

From: Wilson,Randy [mailto:rwilson@xxxxxxx] 
Sent: terça-feira, 26 de Março de 2013 18:24
To: Rodolfo Melia; Paulo Grácio
Cc: dhis2-users@xxxxxxxxxxxxxxxxxxx
Subject: RE: [Dhis2-users] Population Definition

 

In Rwanda, we have tried to keep things simple by entering only total
population figures for province, district, sector and health facility levels
for each year.

 

We have then created indicators for each of the major target population
groups by using census breakdowns and multiplying the total population by
the following factors (we’re still waiting for results of 2012 census to
update some of these): 

 


Children 0 - 11 months

4.10%


Children 1 - 4 years

12.10%


Children 5 - 14 years

27.50%


Children < 15 years

43.70%


Population >= 15 years

56.30%


Children under 5 years

16.20%


Expected Pregnancies

4.10%


Women of reproductive age

23.60%

 

If your administrative units are very diverse this approach might not work,
but it certainly simplifies analysis and people are less inclined to use
smaller denominators to make their performance look better.

 

Randy

 

From: dhis2-users-bounces+rwilson=msh.org@xxxxxxxxxxxxxxxxxxx
[mailto:dhis2-users-bounces+rwilson=msh.org@xxxxxxxxxxxxxxxxxxx] On Behalf
Of Rodolfo Melia
Sent: Tuesday, March 26, 2013 6:11 PM
To: Paulo Grácio
Cc: dhis2-users@xxxxxxxxxxxxxxxxxxx
Subject: Re: [Dhis2-users] Population Definition

 

So far (I'm only doing tests, no yet in production), I have imported
population data using a dataset with annual data collection, populating
2012, 13 and 14 with the same data, so I can do indicator calculations on
those years.

 

For your case, I will create 3 data elements, each one associated to a
category combination for Age, Gender and Area.

 

Rodolfo

On Tue, Mar 26, 2013 at 3:53 PM, Paulo Grácio <pgracio@xxxxxxxxxxxxxxxxxxxx>
wrote:

Hello,

 

I’m trying to figure out the best way to define population in a way that it
can be used to calculate indicators. We have population values, lowest level
is District, aggregated by age(0-5; 5-20;20-60;60+), gender(male, female)
and area(rural, urban).

 

Based on you experience what do you consider to be the best approach for
this?

 

Kind regards,

Paulo Grácio

 


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-- 

Rodolfo Meliá

Principal

rmelia@xxxxxxxxxxxx

www.knowming.com

+1 708 872 7636

+44 777 576 4090

Skype: rod.melia

Twitter: @RodolfoMelia <https://twitter.com/RodolfoMelia> 

 

Note: Please note my new email address, which I will be using for PSI
related work: rmelia@xxxxxxxxxxxx