InterVA

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

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

@UCGHR @PeterByass @UmeaUniversity 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.

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

Interesting paper on community-based #verbalautopsy for childhood deaths in #Freetown, #SierraLeone dx.doi.org/10.7189%2Fjogh… @oasankoh @stats_sl

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-news-…

An integrated approach to processing WHO-2016 verbal autopsy data: the InterVA-5 model bmcmedicine.biomedcentral.com/articles/10.11…

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.

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/full/springer-…

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/10.10…