Abstract

The ongoing COVID-19 epidemic continues to spread within and outside of China, despite several social distancing measures implemented by the Chinese government. Limited epidemiological data are available, and recent changes in case definition and reporting further complicate our understanding of the impact of the epidemic, particularly in the epidemic’s epicenter. Here we use previously validated phenomenological models to generate short-term forecasts of cumulative reported cases in Guangdong and Zhejiang, China. Using daily reported cumulative case data up until 13 February 2020 from the National Health Commission of China, we report 5- and 10-day ahead forecasts of cumulative case reports. Specifically, we generate forecasts using a generalized logistic growth model, the Richards growth model, and a sub-epidemic wave model, which have each been previously used to forecast outbreaks due to different infectious diseases. Forecasts from each of the models suggest the outbreaks may be nearing extinction in both Guangdong and Zhejiang; however, the sub-epidemic model predictions also include the potential for further sustained transmission, particularly in Zhejiang. Our 10-day forecasts across the three models predict an additional 65–81 cases (upper bounds: 169–507) in Guangdong and an additional 44–354 (upper bounds: 141–875) cases in Zhejiang by February 23, 2020. In the best-case scenario, current data suggest that transmission in both provinces is slowing down.

Highlights

  • The ongoing epidemic of a novel coronavirus illness (COVID-19) began in Hubei Province, China, in December 2019 and continues to cause infections in multiple countries, threatening to become a pandemic

  • We use aWpeaprraemsenettrreicsubltsofootrs5t-raanpda1p0-pdaryoafocrhecatostsggeenneerraatetde ounn1c3eFretbariunatryy 2b0o20ufnodr sthearporouvnindcetshe best-fit solution aosfsGuumaningdgoangPaondisZsohenjiaenrgr,oCrhsintar.uFcitguurrees; 1daentda2ilceodntdaienstchreiepstimonatsedorfanthgeis omf ceutmhuoldatiavreecapserovided in referencesco[9u,n1ts4]f.roWm e5-reafindt t1h0e-damy ofdoreelcsasttos feoar cGhuoanfgtdhoengMan=d 2Z0h0ejidanagt,asreestpsecgtievneleyr.a1t0e-ddaby yahtehaed bootstrap approach, froerseucalsttisnfgroimn eMachbmesotd-fieltwpiathrathme eretpeorrsteedtscathlibartaatiroen udasteadarteoshcoownsntirnuFcitgtuhrees935–5%. confidence intervals for each p3a.r1a

  • We present timely short-term forecasts for reported cases of COVID-19 in Guangdong and Zhejiang, China

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Summary

Introduction

The ongoing epidemic of a novel coronavirus illness (COVID-19) began in Hubei Province, China, in December 2019 and continues to cause infections in multiple countries, threatening to become a pandemic. The bulk of the associated morbidity and mortality is still concentrated within the province of Hubei, China. As of 13 February 2020, there have been 59,907 cumulative cases, including 1368 deaths, reported globally with 48,206 cases reported in Hubei alone [1]. The Chinese government has enacted a range of social distancing strategies, such as city-wide lockdowns, screening measures at train stations and airports, active case finding, and isolation of suspected cases. The transmission appears to be slowing down outside Hubei due to strict lockdowns combined with isolation and quarantine measures [1,2,3]

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