Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province
The novel coronavirus (COVID-19) has spread to almost all countries in the world, claiming more than 160,000 lives and sickening more than 2,400,000 people by April 21, 2020. There has been research showing that on average, each infected person spreads the infection to more than two persons. Therefore the majority of the population is at risk of infection if no intervention measures were undertaken. The true size of the COVID-19 epidemic remains unknown, as a significant proportion of infected individuals only exhibit mild symptoms or are even asymptomatic. A timely assessment of the evolving epidemic size is crucial for resource allocation and triage decisions. In this article, we modify the back-calculation algorithm to obtain a lower bound estimate of the number of COVID-19 infected persons in China outside the Hubei province. We estimate the infection density among infected and show that the drastic control measures enforced throughout China following the lockdown of Wuhan City effectively slowed down the spread of the disease in two weeks. Our findings from China are expected to provide guidelines and enlightenment for surveillance and control activities of COVID-19 in other countries around the world.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2020 |
---|---|
Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - year:2020 |
---|---|
Enthalten in: |
medRxiv : the preprint server for health sciences - (2020) vom: 28. Apr. |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Liu, Yukun [VerfasserIn] |
---|
Links: |
---|
Themen: |
Back calculation |
---|
Anmerkungen: |
Date Revised 19.10.2023 published: Electronic Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.1101/2020.04.23.20074708 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM310909236 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM310909236 | ||
003 | DE-627 | ||
005 | 20231225141118.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1101/2020.04.23.20074708 |2 doi | |
028 | 5 | 2 | |a pubmed24n1036.xml |
035 | |a (DE-627)NLM310909236 | ||
035 | |a (NLM)32511453 | ||
035 | |a (PII)2020.04.23.20074708 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Liu, Yukun |e verfasserin |4 aut | |
245 | 1 | 0 | |a Infection Density and Epidemic Size of COVID-19 in China outside the Hubei province |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 19.10.2023 | ||
500 | |a published: Electronic | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a The novel coronavirus (COVID-19) has spread to almost all countries in the world, claiming more than 160,000 lives and sickening more than 2,400,000 people by April 21, 2020. There has been research showing that on average, each infected person spreads the infection to more than two persons. Therefore the majority of the population is at risk of infection if no intervention measures were undertaken. The true size of the COVID-19 epidemic remains unknown, as a significant proportion of infected individuals only exhibit mild symptoms or are even asymptomatic. A timely assessment of the evolving epidemic size is crucial for resource allocation and triage decisions. In this article, we modify the back-calculation algorithm to obtain a lower bound estimate of the number of COVID-19 infected persons in China outside the Hubei province. We estimate the infection density among infected and show that the drastic control measures enforced throughout China following the lockdown of Wuhan City effectively slowed down the spread of the disease in two weeks. Our findings from China are expected to provide guidelines and enlightenment for surveillance and control activities of COVID-19 in other countries around the world | ||
650 | 4 | |a Preprint | |
650 | 4 | |a COVID-19 epidemic | |
650 | 4 | |a back calculation | |
650 | 4 | |a incubation period | |
650 | 4 | |a infection time | |
700 | 1 | |a Qin, Jing |e verfasserin |4 aut | |
700 | 1 | |a Fan, Yan |e verfasserin |4 aut | |
700 | 1 | |a Zhou, Yong |e verfasserin |4 aut | |
700 | 1 | |a Follmann, Dean A |e verfasserin |4 aut | |
700 | 1 | |a Huang, Chiung-Yu |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t medRxiv : the preprint server for health sciences |d 2020 |g (2020) vom: 28. Apr. |w (DE-627)NLM310900166 |7 nnns |
773 | 1 | 8 | |g year:2020 |g day:28 |g month:04 |
856 | 4 | 0 | |u http://dx.doi.org/10.1101/2020.04.23.20074708 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |j 2020 |b 28 |c 04 |