Evidence map›Paper›PMID 34050198›Full record

ArticleScientific reports2021

Retrospective methodology to estimate daily infections from deaths (REMEDID) in COVID-19: the Spain case study.

David García-García, María Isabel Vigo, Eva S Fonfría, Zaida Herrador, Miriam Navarro, Cesar Bordehore

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  19. Estimated number of deaths directly averted in people 60 years and older as a result of COVID-19 vaccination in the WHO European Region, December 2020 to November 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

David García-GarcíaDepartment of Applied Mathematics, University of Alicante, Alicante, Spain.
María Isabel VigoDepartment of Applied Mathematics, University of Alicante, Alicante, Spain.
Eva S FonfríaMultidisciplinary Institute for Environmental Studies "Ramon Margalef", University of Alicante, Campus San Vicente del Raspeig, 03690, Alicante, Spain.
Zaida HerradorNational Centre of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
Miriam NavarroMultidisciplinary Institute for Environmental Studies "Ramon Margalef", University of Alicante, Campus San Vicente del Raspeig, 03690, Alicante, Spain.
Cesar BordehoreMultidisciplinary Institute for Environmental Studies "Ramon Margalef", University of Alicante, Campus San Vicente del Raspeig, 03690, Alicante, Spain. cesar.bordehore@ua.es.

Funding

Ajuntament de Dénia - Montgó-Dénia Research Station 2020-41.30.6O.00.01Universidad de Alicante COVID-19 2020-41.30.6P.0016
6 · The paper itself

Abstract

The number of new daily infections is one of the main parameters to understand the dynamics of an epidemic. During the COVID-19 pandemic in 2020, however, such information has been underestimated. Here, we propose a retrospective methodology to estimate daily infections from daily deaths, because those are usually more accurately documented. Given the incubation period, the time from illness onset to death, and the case fatality ratio, the date of death can be estimated from the date of infection. We apply this idea conversely to estimate infections from deaths. This methodology is applied to Spain and its 19 administrative regions. Our results showed that probable daily infections during the first wave were between 35 and 42 times more than those officially documented on 14 March, when the national government decreed a national lockdown and 9 times more than those documented by the updated version of the official data. The national lockdown had a strong effect on the growth rate of virus transmission, which began to decrease immediately. Finally, the first inferred infection in Spain is about 43 days before the official data were available during the first wave. The current official data show delays of 15-30 days in the first infection relative to the inferred infections in 63% of the regions. In summary, we propose a methodology that allows reinterpretation of official daily infections, improving data accuracy in infection magnitude and dates because it assimilates valuable information from the National Seroprevalence Studies.

Indexed as

Communicable Disease ControlCOVID-19HumansInfectious Disease Incubation PeriodPandemicsRetrospective StudiesSeroepidemiologic StudiesSpain

Identifiers

PMID34050198
PMCPMC8163852

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.