Early estimation of the epidemiological parameters of novel coronavirus disease (COVID-2019) outbreak in Iran : 19 Feb-15 March, 2020
©2020 RIGLD, Research Institute for Gastroenterology and Liver Diseases..
AIM: To estimate the epidemiological parameters related to the Covid-19 outbreak in Iran.
BACKGROUND: Estimating the epidemiological parameters of new public health threat (COVID-19) is essential to support and inform public health decision-making in different communities including Iran.
METHODS: We established a mathematical model to estimate the epidemiological parameters from 19 Feb to 15 March based on daily COVID-19 confirmed cases in Iran. Then, we estimated the effect of early traffic restriction on our estimation.
RESULTS: We estimated the R0 at 2.11 (95% CI, 1.87-2.50) and the infected number at 92,260 (95% CI: 59,263 -152,212) by 15 March. Our estimate for the ascertainment rate was about 1.2% (95% CI: 1.1-1.4). The latent period estimation was 4.24 (95% CI: 2.84-6.65). We observed a decline in our estimate after considering the traffic restriction.
CONCLUSION: Our results suggest that health authorities in Iran must take impactful strategies to control the COVID-19 outbreak to reach R0<1. Therefore, the establishment of complementary, multilateral, and cost-effective measures for the treatment of symptomatic and early diagnosis and isolation of asymptomatic cases/contacts are strongly recommended because of low ascertainment rate and large number of infected cases. We additionally recommend that traffic restriction be combined with other controlling measures.
Medienart: |
Artikel |
---|
Erscheinungsjahr: |
2020 |
---|---|
Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:13 |
---|---|
Enthalten in: |
Gastroenterology and hepatology from bed to bench - 13(2020), Suppl1 vom: 27., Seite S134-S138 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Olfatifar, Meysam [VerfasserIn] |
---|
Themen: |
COVID-19 |
---|
Anmerkungen: |
Date Revised 19.09.2023 published: Print Citation Status PubMed-not-MEDLINE |
---|
Förderinstitution / Projekttitel: |
|
---|
PPN (Katalog-ID): |
NLM32144647X |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM32144647X | ||
003 | DE-627 | ||
005 | 20231225175826.0 | ||
007 | tu | ||
008 | 231225s2020 xx ||||| 00| ||eng c | ||
028 | 5 | 2 | |a pubmed24n1071.xml |
035 | |a (DE-627)NLM32144647X | ||
035 | |a (NLM)33585015 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Olfatifar, Meysam |e verfasserin |4 aut | |
245 | 1 | 0 | |a Early estimation of the epidemiological parameters of novel coronavirus disease (COVID-2019) outbreak in Iran |b 19 Feb-15 March, 2020 |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
500 | |a Date Revised 19.09.2023 | ||
500 | |a published: Print | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a ©2020 RIGLD, Research Institute for Gastroenterology and Liver Diseases. | ||
520 | |a AIM: To estimate the epidemiological parameters related to the Covid-19 outbreak in Iran | ||
520 | |a BACKGROUND: Estimating the epidemiological parameters of new public health threat (COVID-19) is essential to support and inform public health decision-making in different communities including Iran | ||
520 | |a METHODS: We established a mathematical model to estimate the epidemiological parameters from 19 Feb to 15 March based on daily COVID-19 confirmed cases in Iran. Then, we estimated the effect of early traffic restriction on our estimation | ||
520 | |a RESULTS: We estimated the R0 at 2.11 (95% CI, 1.87-2.50) and the infected number at 92,260 (95% CI: 59,263 -152,212) by 15 March. Our estimate for the ascertainment rate was about 1.2% (95% CI: 1.1-1.4). The latent period estimation was 4.24 (95% CI: 2.84-6.65). We observed a decline in our estimate after considering the traffic restriction | ||
520 | |a CONCLUSION: Our results suggest that health authorities in Iran must take impactful strategies to control the COVID-19 outbreak to reach R0<1. Therefore, the establishment of complementary, multilateral, and cost-effective measures for the treatment of symptomatic and early diagnosis and isolation of asymptomatic cases/contacts are strongly recommended because of low ascertainment rate and large number of infected cases. We additionally recommend that traffic restriction be combined with other controlling measures | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a COVID-19 | |
650 | 4 | |a Epidemiological parameters | |
650 | 4 | |a Iran | |
650 | 4 | |a Outbreak | |
700 | 1 | |a Alali, Walid Q |e verfasserin |4 aut | |
700 | 1 | |a Houri, Hamidreza |e verfasserin |4 aut | |
700 | 1 | |a Pourhoseingholi, Mohamad Amin |e verfasserin |4 aut | |
700 | 1 | |a Babaee, Ebrahim |e verfasserin |4 aut | |
700 | 1 | |a Seifollahi, Romian |e verfasserin |4 aut | |
700 | 1 | |a Sharifian, Afsaneh |e verfasserin |4 aut | |
700 | 1 | |a Zali, Mohammad Reza |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Gastroenterology and hepatology from bed to bench |d 2011 |g 13(2020), Suppl1 vom: 27., Seite S134-S138 |w (DE-627)NLM238305023 |x 2008-2258 |7 nnns |
773 | 1 | 8 | |g volume:13 |g year:2020 |g number:Suppl1 |g day:27 |g pages:S134-S138 |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 13 |j 2020 |e Suppl1 |b 27 |h S134-S138 |