scholarly journals Excess deaths associated with the Iranian COVID-19 epidemic: A province-level analysis

Author(s):  
Mahan Ghafari ◽  
Alireza Kadivar ◽  
Aris Katzourakis
2020 ◽  
Author(s):  
Mahan Ghafari ◽  
Bardia Hejazi ◽  
Arman Karshenas ◽  
Stefan Dascalu ◽  
Luca Ferretti ◽  
...  

Abstract Many countries with an early outbreak of SARS-CoV-2 struggled to gauge the size and start date of the epidemic mainly due to limited testing capacities and a large proportion of undetected asymptomatic and mild infections. Iran was among the first countries with a major outbreak outside China. Using all genomic sequences collected from patients with a travel link to Iran, we estimate that the epidemic started on 21/01/2020 (95% HPD: 05/12/2019 – 14/02/2020) with a doubling time of 3 days (95% HPD: 1.68 – 16.27). We also show, using air travel data from confirmed exported cases, that from late February to early March the number of active cases across the country were more than a hundred times higher than the reported cases at the time. A detailed province-level analysis of all-cause mortality shows 20,718 (CI 95%: 18,859 – 22,576) excess deaths during winter and spring 2020 compared to previous years, almost twice the number of reported COVID-19-related deaths at the time. Correcting for under-reporting of prevalence and deaths, we use an SEIR model to reconstruct the outbreak dynamics in Iran. Our model forecasted the second epidemic peak and suggests that by 14/07/2020 a total of 9M (CI 95%: 118K – 44M) have recovered from the disease across the country. These findings have profound implications for assessing the stage of the epidemic in Iran and shed light on the dynamics of SARS-CoV-2 transmissions in Iran and central Asia despite significant levels of under-reporting.


2017 ◽  
Vol 168 ◽  
pp. 1039-1047 ◽  
Author(s):  
Jing Chen ◽  
Fuquan Zhao ◽  
Zongwei Liu ◽  
Xunmin Ou ◽  
Han Hao

2020 ◽  
Author(s):  
Andrew C Stokes ◽  
Dielle J Lundberg ◽  
Katherine Hempstead ◽  
Irma T Elo ◽  
Samuel H Preston

Covid-19 excess deaths refer to increases in mortality over what would normally have been expected in the absence of the Covid-19 pandemic. In this study, we take advantage of spatial variation in Covid-19 mortality across US counties to estimate its relationship with all-cause mortality. We then examine how the extent of excess mortality not assigned to Covid-19 varies across subsets of counties defined by demographic and structural characteristics. We estimate that 26.3% [95% CI, 20.1% to 32.5%] of excess deaths between February 1 and September 23, 2020 were ascribed to causes of death other than Covid-19 itself. Excess deaths not assigned to Covid-19 were even higher than predicted by our model in counties with high income inequality, low homeownership, and high percentages of Black residents, showing a pattern related to socioeconomic disadvantage and structural racism. The standard deviation of mortality across counties increased by 9.5% as a result of excess deaths directly assigned to Covid-19 and an additional 5.3% as a result of excess deaths not assigned to Covid-19. Our work suggests that inequities in excess deaths attributable to Covid-19 may be even greater than revealed by data reporting deaths assigned to Covid-19 alone.


2017 ◽  
Vol 68 ◽  
pp. 478-489 ◽  
Author(s):  
Xu Zhang ◽  
Xunmin Ou ◽  
Xi Yang ◽  
Tianyu Qi ◽  
Kyung-Min Nam ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246715
Author(s):  
Duanbing Chen ◽  
Tao Zhou

Control measures are necessary to contain the spread of serious infectious diseases such as COVID-19, especially in its early stage. We propose to use temporal reproduction number an extension of effective reproduction number, to evaluate the efficacy of control measures, and establish a Monte-Carlo method to estimate the temporal reproduction number without complete information about symptom onsets. The province-level analysis indicates that the effective reproduction numbers of the majority of provinces in mainland China got down to < 1 just by one week from the setting of control measures, and the temporal reproduction number of the week [15 Feb, 21 Feb] is only about 0.18. It is therefore likely that Chinese control measures on COVID-19 are effective and efficient, though more research needs to be performed.


2009 ◽  
Vol 45 (9) ◽  
pp. 1494-1512 ◽  
Author(s):  
Matthew A. Cole ◽  
Robert J.R. Elliott ◽  
Jing Zhang

Agribusiness ◽  
2008 ◽  
Vol 24 (4) ◽  
pp. 538-556 ◽  
Author(s):  
Jean-Philippe Gervais ◽  
Olivier Bonroy ◽  
Steve Couture

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