dhis2-users team mailing list archive

[Jim Grace <jimgrace@xxxxxxxxx>]

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
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>>>>>
>>>>>
>>>> _______________________________________________
>>>> Mailing list: https://launchpad.net/~dhis2-devs
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>>>>
>>>>
>>
>> --
>> Knut Staring
>> Dept. of Informatics, University of Oslo
>> +4791880522
>> http://dhis2.org
>>
>>
>> _______________________________________________
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>>
>>
>
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