Low or high estimate, India total excess mortality is much higher than the previous top (US) at 3.4 or 4.9 MILLION excess deaths.
But India is HUGE. @UNStats population estimate at over 1.38 BILLION people -> high excess per pop size, goes down to 9th place. low: 24th.
2
The undercount ratio, excess deaths divided by official reported COVID death counts for the same time period (end of June 2021 in this case) is very high in these estimates for India: 8.5 to 12.25 times officially reported deaths (~400 thousand). 6-7th place.
3
The p-score, the increase in mortality divided by the expected mortality is either 42% (the high estimate) putting India at 7th place or 23% (low estimate) which places it at 38th place.
4
This comparison shows what many in India and across the world have been saying: excess deaths are much larger than reported, and India is not exceptionally good at dealing with it, it's also not exceptionally bad (there are worse, depends on the metric).
5
A word of caution: #WorldMortality estimates are derived using the same exact model for expected deaths and are thus comparable. Since there are not yet good national data for India, estimates differ and thus comparison is ess valid. But I think these are within ballpark.
While important and prob true, I'm left with quite a few questions about this particular estimate.
1/
Their data comes form "56 countries and 198 subnational units have reported either weekly or monthly deaths from all causes for parts of 2020 and for prior years. " but where is it? The References listed are scant and include a few NSOs.
2/
After estimating excess deaths with some ensemble models for the countries they do have, they project it using various covariates to other countries. But which are projections and which are actual data? unclear.
3/
Many updates, check it out.
Here are some highlights:
1
Our coverage increased from 79 countries and territories in the previous version to 89 and the time frame covered increased substantially, with many countries already reporting 2021 data.
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We extended the introduction a bit, showcasing the vast historical usage of excess mortality in epidemiology - this method is not new at all and is extremely well established.
אני מכריז בזאת על פרסום ראשוני של מאמר ומסד נתונים על תמותה עולמית שנוצרו משת"פ שלי עם ד"ר דמיטרי קובלק מאוניברסיטת טובינגן בגרמניה.
בקצרה: אספנו נתוני תמותה (מכל הסיבות) מ-79 מדינות (והיד עוד נטויה...) ואמדנו את התמותה העודפת בזמן מגפת הקורונה ברחבי העולם.
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הניתוח שלנו מעלה המון ממצאים מרתקים ומדכאים לגבי ההיקף הפחות ידוע של מגפת הקורונה. אני אתן לתרשימים לדבר בעד עצמם - מבטיח רשומה מפורטת בבלוג בקרוב.
בנוסף - לא הסתפקנו בניתוחים משל עצמנו, ואנחנו משחררים את מאגר המידע הייחודי (הגדול מסוגו בעולם!) לשימוש קהילת המחקר והציבור הרחב.
Announcing World-Mortality Dataset & paper - now on @medrxivpreprint !
Collab with @hippopedoid: We collected data on all cause mortality around the world (79 countries) and estimated excess mortality during the COVID pandemic.