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Re: [Dhis2-devs] Homologous periods for indicators

 

Hi,

We have pretty much similar requirement with Malaria Surveillance (weekly
reporting) here in Tanzania where by threshold calculation to detect
 malaria outbreak is based on current reported value against three previous
weeks values similar case like what Jim mentioned.

It will be best if we could this in either analytics / indicators or
validation rules. As a temporary fix i implemented an external script which
reads values through API and perform some calculations. Also HMTL Standard
report which highlight weeks exceeding set threshold value could also do :)

Regards,
Ismail




On Fri, Dec 6, 2013 at 12:43 PM, Rodolfo Melia <rmelia@xxxxxxxxxxxx> wrote:

> Hi - I just want to echo the need of more complex logic for doing
> indicators.
>
> The way that we are addressing this at PSI is by creating 'Calculated Data
> Elements'. That's basically a Data Element that doesn't have data entry,
> and instead we populate it via a SQL procedure that we run every night. A
> cron job currently does the job, but we are moving them into PgAgent. Our
> current use cases:
>
> 1. Copy the previous months 'Closing Balance' into the 'Opening Balance'
> of this month
> 2. Average distribution across the last 3 months (rather than the whole
> series)
>
> Another similar need that we currently plan to address via iReports is
> giving improvement over time: variation (increase/ decrease)
> - Option a: Q2 this year vs Q2 last year
> - Option b: This Quarter (Q2 2013) vs Previous Quarter (Q1 2013)
>
> In my mind, a potential implementation is to be able to define time ranges
> (default - all periods) when creating the numerator/ denominator of an
> indicator.
>
> R
>
> *Rodolfo Meliá*
> *Principal*
> rmelia@xxxxxxxxxxxx
> www.knowming.com
> +1 708 872 7636
> +44 777 576 4090
> Skype: rod.melia
>
>
> On Fri, Dec 6, 2013 at 7:55 AM, Ola Hodne Titlestad <olati@xxxxxxxxxx>wrote:
>
>> Would be great if we could somehow combine the logic and calculations of
>> the surveillance rules with the analytics tables and make this data
>> available in the analysis tools. Sounds like a good approach to try that in
>> an app first.
>>
>> Ola
>> ------
>>
>> ----------------------------------
>> Ola Hodne Titlestad (Mr)
>> HISP
>> Department of Informatics
>> University of Oslo
>>
>> Mobile: +47 48069736
>> Home address: Eftasåsen 68, 0687 Oslo, Norway. Googlemaps link<https://maps.google.com/maps?q=Eftas%C3%A5sen+68,+0687+Oslo,+Norge&hl=en&ie=UTF8&sll=59.893855,10.785116&sspn=0.222842,0.585709&oq=eftas%C3%A5sen+68,+0687+Oslo,+&t=h&hnear=Eftas%C3%A5sen+68,+%C3%98stensj%C3%B8,+0687+Oslo,+Norway&z=16>
>>
>>
>> On 5 December 2013 14:53, Knut Staring <knutst@xxxxxxxxx> wrote:
>>
>>> Thanks a lot, Jim.
>>>
>>> We are in fact already developing a powerful time series app for which
>>> this is the main missing thing, however we may have to change to a
>>> different javascript graphing library (because of the license).
>>>
>>> Knut
>>>
>>>
>>> On Thu, Dec 5, 2013 at 12:59 PM, Jim Grace <jimgrace@xxxxxxxxx> wrote:
>>>
>>>> Hi all,
>>>>
>>>> By all means tell anyone requesting this type of analysis about the new
>>>> surveillance-type validation rules. They do exactly this type of analysis,
>>>> for example the calculation Knut mentioned, comparing this year's weekly
>>>> data with the average of the three previous years (e.g. week 48),
>>>> multiplied by 1.5. Surveillance rule features also include:
>>>>
>>>> - You can average not only just over the same period in a number of
>>>> previous years, but over a bounded set of weeks surrounding the week in
>>>> question, or a combination of both (e.g. comparing week 48 this year with
>>>> the average of weeks 47,48 and 49 in the previous two years, and week 47
>>>> this year.)
>>>>
>>>> - You can throw out a configurable number of high and/or low outliers
>>>> from previous data before doing the average, so you're not comparing the
>>>> new data data against previous outbreaks and/or unusually low values.
>>>>
>>>> - You can analyze the data automatically as it comes in from data entry
>>>> each day, for any data elements (singly or in a formula) in all
>>>> organisation units at whatever levels you like, with customized formulas at
>>>> each different organizational unit level (e.g. an alarming district-wide
>>>> increase may be a lower percent than what could be random variation at
>>>> individual sites.) And be notified automatically through DHIS messaging (by
>>>> email if you like) of any outliers.
>>>>
>>>> If they want the data for display, this would have to be added whether
>>>> in the visualizer or a new app. But if they want the data for outbreak
>>>> detection, by all means also tell them about the new surveillance rules.
>>>>
>>>> Cheers,
>>>> Jim
>>>>
>>>>
>>>>
>>>> On Thu, Dec 5, 2013 at 2:17 AM, Bram Piot <bram.piot@xxxxxxxxx> wrote:
>>>>
>>>>> Hi all,
>>>>>
>>>>> Surprisingly, yesterday I had exactly the same request from one of our
>>>>> users in Uganda: they'd like to see monthly data for current and past year
>>>>> as separate lines on the same chart, very similar to Knut's example. I can
>>>>> imagine that this would be rather complex to handle in the visualiser -
>>>>> maybe this needs a separate app?
>>>>>
>>>>> bram piot
>>>>>
>>>>>
>>>>>
>>>>> On 5 December 2013 10:08, Knut Staring <knutst@xxxxxxxxx> wrote:
>>>>>
>>>>>> Thanks Ola, it's a good idea to have this also available as part of
>>>>>> validation rules. However, my immediate need and what organizations dealing
>>>>>> with seasonal epidemics such as WHO and CDC would like to see are charts
>>>>>> with two lines:
>>>>>>
>>>>>> The trend of cases and deaths for the current year as compared to the
>>>>>> trend lines for a) the previous year or b) some kind of average for several
>>>>>> previous years. See the attached example.
>>>>>>
>>>>>> Knut
>>>>>>
>>>>>>
>>>>>> On Thursday, December 5, 2013, Ola Hodne Titlestad wrote:
>>>>>>
>>>>>>> Knut,
>>>>>>>
>>>>>>> Your example looks more like the kind of functionality we have/could
>>>>>>> build into in surveillance type validation rules.
>>>>>>>
>>>>>>> Ola
>>>>>>> ------
>>>>>>> On 4 Dec 2013 22:07, "Knut Staring" <knutst@xxxxxxxxx> wrote:
>>>>>>>
>>>>>>>> We have the same requirement, in our case to compare this year's
>>>>>>>> weekly data with the average of the three previous years foe the
>>>>>>>> corresponding periods (e.g. week 48), multiplied by 1.5. Perhaps this
>>>>>>>> should be available in the indicator calculation? And/or an easy way to get
>>>>>>>> it through the api. Could you start on a Blueprint for this?
>>>>>>>> 4. des. 2013 20:46 skrev "Paulo Grácio" <
>>>>>>>> pgracio@xxxxxxxxxxxxxxxxxxxx> følgende:
>>>>>>>>
>>>>>>>>> Hi,
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> One of the challenges that I have at the moment is the creation of
>>>>>>>>> an indicator based on homologous period to have evolution. Any
>>>>>>>>> idea/suggestion?
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> For instance get Malaria deaths for period (2013) and Malaria
>>>>>>>>> deaths for period-1 (2012).
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Regards
>>>>>>>>>
>>>>>>>>> Paulo Grácio
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> _______________________________________________
>>>>>>>>> Mailing list: https://launchpad.net/~dhis2-users
>>>>>>>>> Post to     : dhis2-users@xxxxxxxxxxxxxxxxxxx
>>>>>>>>> Unsubscribe : https://launchpad.net/~dhis2-users
>>>>>>>>> More help   : https://help.launchpad.net/ListHelp
>>>>>>>>>
>>>>>>>>>
>>>>>>>> _______________________________________________
>>>>>>>> Mailing list: https://launchpad.net/~dhis2-devs
>>>>>>>> Post to     : dhis2-devs@xxxxxxxxxxxxxxxxxxx
>>>>>>>> Unsubscribe : https://launchpad.net/~dhis2-devs
>>>>>>>> More help   : https://help.launchpad.net/ListHelp
>>>>>>>>
>>>>>>>>
>>>>>>
>>>>>> --
>>>>>> Knut Staring
>>>>>> Dept. of Informatics, University of Oslo
>>>>>> +4791880522
>>>>>> http://dhis2.org
>>>>>>
>>>>>>
>>>>>> _______________________________________________
>>>>>> Mailing list: https://launchpad.net/~dhis2-users
>>>>>> Post to     : dhis2-users@xxxxxxxxxxxxxxxxxxx
>>>>>> Unsubscribe : https://launchpad.net/~dhis2-users
>>>>>> More help   : https://help.launchpad.net/ListHelp
>>>>>>
>>>>>>
>>>>>
>>>>> _______________________________________________
>>>>> Mailing list: https://launchpad.net/~dhis2-users
>>>>> Post to     : dhis2-users@xxxxxxxxxxxxxxxxxxx
>>>>> Unsubscribe : https://launchpad.net/~dhis2-users
>>>>> More help   : https://help.launchpad.net/ListHelp
>>>>>
>>>>>
>>>>
>>>
>>>
>>> --
>>> Knut Staring
>>> Dept. of Informatics, University of Oslo
>>> +4791880522
>>> http://dhis2.org
>>>
>>
>>
>> _______________________________________________
>> Mailing list: https://launchpad.net/~dhis2-users
>> Post to     : dhis2-users@xxxxxxxxxxxxxxxxxxx
>> Unsubscribe : https://launchpad.net/~dhis2-users
>> More help   : https://help.launchpad.net/ListHelp
>>
>>
>
> _______________________________________________
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> Post to     : dhis2-devs@xxxxxxxxxxxxxxxxxxx
> Unsubscribe : https://launchpad.net/~dhis2-devs
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>
>


-- 
Ismail Yusuf Koleleni,
Computer Science and Engineering Department
College of Information and Communication Technology (CoICT)
University of Dar es Salaam
+255713732238 / +255788732233

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