InterVA is a suite of tools for determining cause of death from verbal autopsy interviews - a free resource for all
Joined June 2011
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InterVA retweeted
1 Jun 2020
Important editorial @WHOBulletin
"Mortality surveillance during the #COVID19 pandemic"
which is closely linked to new free tools from @WHO @VitalStrat @CDCgov @InterVA and others available at
who.int/publications-detail/…
who.int/bulletin/volumes/98/…
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Pleased to have collaborated on the software tool at interva.net/crms, that is embedded in this @ResolveTSL @VitalStrat @WHO @BloombergDotOrg @AfricaCDC @eca_official @unescap @CDCFound technical package for rapid #COVID19 mortality surveillance
21 May 2020
At @ResolveTSL and @VitalStrat, we worked with @WHO and other partners, including @BloombergDotOrg, @AfricaCDC, @eca_official, @unescap, and @CDCFound on a technical package to help governments use existing CRVS systems to rapidly assess deaths. bit.ly/2ZviajL
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A new paper @GlobalHealthBMJ using @InterVA to determine cause of death
gh.bmj.com/content/5/4/e0022…
18 Apr 2020
Healthcare access people dying of time critical conditions in South Africa. The most common access pattern was to access no healthcare and die outwith a facility. bit.ly/3aiaJhv @PeterByass @luciadambruoso @mkruk @UoB_IAHR @MariaOdland
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We've recently released a technical update, InterVA-5.1, which as always is available at interva.net
The concepts and the software remain unchanged, but there are some minor adjustments and corrections to the knowledge base and the documentation.
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InterVA retweeted
3 Nov 2019
Thanks Carla - we hope it will be widely used, specially as the marginal cost when using @InterVA -5 is zero!
2 Nov 2019
A really important piece of work that helps broaden VA beyond the analysis of medical causes to death to include underlying sociocontextual and health system circumstances.
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New article @GlobalHealthAct explains how circumstances of death categories (#COMCAT) from #verbal_autopsy complement medical cause of death
tandfonline.com/doi/full/10.…
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27 Jul 2019
Latest malaria global estimates @TheLancet thelancet.com/journals/lance… confirm our on-the-ground #verbal_autopsy findings from #Mpumulanga Province #SouthAfrica 🇿🇦 that #malaria is increasing:
"The long road to elimination" @CambUP_gheg bit.ly/2K68GSF
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Child #mortality analysis in Sierra Leone 🇸🇱 using @InterVA
10 Jul 2019
Interesting paper on community-based #verbalautopsy for childhood deaths in #Freetown, #SierraLeone
dx.doi.org/10.7189/jogh.09…
@oasankoh @stats_sl
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InterVA retweeted
12 Jun 2019
What we die from matters - and half of global #deaths are not registered. @WHO sets standards for #verbal_autopsy and the latest @InterVA-5 software can process causes of death. Here's the details and resources in @BMCMedicine
rdcu.be/bFdxY
11 Jun 2019
Does the news reflect what we die from? - Our World in Data. “The media provides a near-instantaneous snapshot of single events; events that are, in most cases, negative. The persistent, large-scale trends of progress never make the headlines”. ourworldindata.org/does-the-…
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InterVA retweeted
8 Jun 2019
New paper @BMJ_Open exploring the back-stories of external injury deaths identified by @InterVA in rural #SouthAfrica
@weallcount2 @annajdare @ldambruoso @VAPARorg @AndyLeather1 @drjackoids
bmjopen.bmj.com/content/9/6/…
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InterVA retweeted
3 Jun 2019
An integrated approach to processing WHO-2016 verbal autopsy data: the InterVA-5 model bmcmedicine.biomedcentral.co…
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InterVA retweeted
3 Jun 2019
One of the most fundamental questions in #globalhealth - what do people die from? For most deaths we do not know the answer but developments in #verbal_autopsy are helping to fill this data gap. Proud to be part of this international scientific collaboration led by @PeterByass
3 Jun 2019
An integrated approach to processing WHO-2016 verbal autopsy data: the InterVA-5 model bmcmedicine.biomedcentral.co…
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InterVA retweeted
3 Jun 2019
Great thread summarising the problem of uncounted deaths and the methods being used to fill the data gap for better health planning and goal monitoring in the world's poorest settings #SDGs #globalhealth
31 May 2019
Around 50% of deaths in the world aren't documented according to @WHO, mostly in LMICs, and #verbal_autopsy (VA interviews with witnesses of deaths) is a useful method for tackling this. Cause of death data are important for planning health services.
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More details @BMCMedicine rdcu.be/bFdxY
31 May 2019
The @InterVA-5 model processes all the @WHO VA cause categories across all age groups, so a complete picture of deaths in a population can be produced. This is useful for planners at local, national and global levels, including @UN #SDG targets.
media.springernature.com/ful…
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InterVA retweeted
31 May 2019
More resources are available at github.com/peterbyass/InterV… … and interva.net - including full open-source code and data. Thanks to collaborators @luciadambruoso @sinafala @drjackoids @fottrell @VAPARorg @WeAllCount2 @UCLGlobalHealth @UCGHR @INDEPTHNetwork and all!
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InterVA retweeted
31 May 2019
Around 50% of deaths in the world aren't documented according to @WHO, mostly in LMICs, and #verbal_autopsy (VA interviews with witnesses of deaths) is a useful method for tackling this. Cause of death data are important for planning health services.
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InterVA retweeted
31 May 2019
Standards for VA are set by @WHO but software for processing the data into causes of death are also needed. Just out @BMCMedicine are details and resources for the @InterVA-5 model that does this systematically and consistently
rdcu.be/bFdxY
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InterVA retweeted
31 May 2019
The new model has been developed and tested to be as widely applicable as possible - including accepting input data from the previous @WHO-2012 standard and the SmartVA format
media.springernature.com/ful…
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InterVA retweeted
30 May 2019
New @BMCMedicine - An integrated approach to processing @WHO-2016 #verbal_autopsy data: the @InterVA-5 model - open-source software included
bmcmedicine.biomedcentral.co…
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Another good example of @InterVA tools being used effectively
16 May 2019
Pleased to see these analyses of #cause_of_death and #socioeconomic factors published from @INDEPTHNetwork data @GlobalHealthAct
Thanks @gbukhman @musukamanda @meIamMarylene @CKyobutungi @oasankoh
(and more not on Twitter!)
tandfonline.com/doi/full/10.…
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