Closed maciej-kochanowicz closed 1 year ago
We are aware of this issue, but are not sure what to do about it. It's unclear to us where the numbers reported by the National Statistical Office (~150k/year) are coming from.
The coverage of the SINADEF data (that we use) seems to grow: 2017 is definitely undercounted, compared to 2018 and 2019. This yields a positive trend, but luckily for us predicts 2020 baseline that agrees really well with the early pre-pandemic 2020 data.
So the data that we use are self-consistent, but it may very well be that some fraction of deaths is missed. It's unclear what the fraction is... Based on the 150k figure, it would be roughly (150-115)/150 ~ 25%. In any case, there is nothing we can do about it.
Apart from warning the users -- so I suggest we add this as a caveat to README @akarlinsky.
Continuing on what Dmitry said, we are in contact with Vital-Strategies and SINADEF regarding this issue, and have also addressed it in our revised paper on medRxiv .
Hello, I've being following your great work. I've already submited a paper recently addressing specifically this issue in Peru. Under registration is about 30% in case of Peru. Hopefully I would be able to share it in the following next weeks.
Best wishes, Lucas
30%? Wow. Can you say what this estimate is based on?
Hi Lucas, thank for these kind words. Your paper could be very useful to us - if you can send me a PDF draft (I'm at karlinsky@gmail.com) I would love to take a look and cite it when it becomes public.
30%? Wow. Can you say what this estimate is based on?
Hi, the head of SINADEF gave a talk with that estimation. This can be verified if you look at absolute figures prior 2017 (when there was a paper system, values are higher by 20-25%. Also if you see mortality rates, which would be around 4 and not 6-6.5 per 1000 as they should. There were also a rebelion on one region (LAMBAYEQUE - very low numbers only linked to public insurance reimbursement to regional goverment) in 2018 and 2019.
Additionaly, the systems shows a natural growth from 2017 to 2019. The problem is that when the pandemics started they couldn't finish processsing data. That is why figures from 2019 and 2020 still change right now.
I've shared the paper, Ariel.
See a presentation that summarises a bit of the problems. Made to PAHO a few months ago. Models and methods changed, but diagnostics is similar.
@akarlinsky As there is nothing we can do about this, should we close the issue?
Hi,
I've been taking a look into this now that the INEI 2020 figures have been published, and I'd be interested in your thoughts.
Based on my calculations, it seems that SINADEF coverage (out of the total deaths registered by INEI) has increased from 73% in 2019 to 94% in 2020. The INEI reports break down total registered deaths into online and manual registrations, and there seems to have been a rise in the proportion of deaths registered online. There also seem to be some deaths that are registered online that do not appear on the SINADEF public data (not sure the reason why), and SINADEF coverage of online registered deaths also increased.
I've summarised the key figures in the table below:
Year | INEI Registered online | INEI Registered manually | INEI TOTAL registered deaths | INEI registered online / INEI total registered deaths | TOTAL deaths in SINADEF system | SINADEF deaths / INEI online deaths | SINADEF deaths / INEI total registered deaths -- | -- | -- | -- | -- | -- | -- | -- 2017 | 136,108 | 13,924 | 150,032 | 90.72% | 98,974 | 72.72% | 65.97% 2018 | 140,104 | 11,586 | 151,690 | 92.36% | 112,809 | 80.52% | 74.37% 2019 | 146,684 | 10,996 | 157,680 | 93.03% | 114,942 | 78.36% | 72.90% 2020 | 240,078 | 837 | 240,915 | 99.65% | 226,609 | 94.39% | 94.06%
I wonder if you have tackled the following issue. Your dataset gives following totals for Peru:
This is based on daily deaths as reported by Ministry of Health, that you give as reference (when I check numbers right now I noticed small discrepancies for the total values, but this is a minor issue).
At the same time National Statistical Office provides different totals (https://www.inei.gob.pe/estadisticas/indice-tematico/poblacion-y-vivienda/ table Defunciones registradas por año de inscripción, según departamento):
The Ministry of Health data would even lead to improbable low deaths rates (per 1000 inhabitants) for 2017-2019.
I have already noticed this issue in some other "trackers" of excess mortality due to Covid, but I was unable to analyze it further due to my limited Spanish.
The incompleteness of death registration is probably the reason behind this discrepancy (it is mention in some sources dealing with Peru's vital statistics).
This issue may obviously affect calculations of excess mortality and even lead to exceptionally high results for Peru, that are even higher than its neighbors (Ecuador, Bolivia). It may be possible solved, or alleviated, with some additional extrapolation (you can for example notice, that discrepancy is not equal for all provinces and that it is getting smaller every year, probably due to the better coverage of death registration).
Have you noticed or analyzed this issue?