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Qifang Bi
Johns Hopkins University
EpidemiologyPublic healthZika virusPopulationMedicine
13Publications
10H-index
1,226Citations
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Publications 13
Newest
#1Qifang Bi (Johns Hopkins University)H-Index: 10
#2Yongsheng WuH-Index: 3
Last. Tong ZhangH-Index: 5
view all 22 authors...
Summary Background Rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, China, prompted heightened surveillance in Shenzhen, China. The resulting data provide a rare opportunity to measure key metrics of disease course, transmission, and the impact of control measures. Methods From Jan 14 to Feb 12, 2020, the Shenzhen Center for Disease Control and Prevention identified 391 SARS-CoV-2 cases and 1286 close contacts. We compared cases identified through symptomati...
99 CitationsSource
#1Qifang Bi (Johns Hopkins University)H-Index: 10
#2Chengcheng Hong (HIT: Harbin Institute of Technology)
Last. Tong Wang (HIT: Harbin Institute of Technology)
view all 17 authors...
The COVID-19 pandemic has stressed healthcare care systems throughout the world. Understanding clinical progression of cases is a key public health priority that informs optimal resource allocation during an emergency. Using data from Shenzhen, China, where all cases were monitored in hospital and symptom profiles and clinical and lab results were available starting from early stages of clinical course, we characterized clinical progression of COVID-19 cases and determined important predictors f...
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#1Qifang Bi (Johns Hopkins University)H-Index: 10
#2Yongsheng Wu (CDC: Centers for Disease Control and Prevention)H-Index: 3
Last. Tong ZhangH-Index: 5
view all 22 authors...
Abstract Background Rapid spread of SARS-CoV-2 in Wuhan prompted heightened surveillance in Shenzhen and elsewhere in China. The resulting data provide a rare opportunity to measure key metrics of disease course, transmission, and the impact of control. Methods The Shenzhen CDC identified 391 SARS-CoV-2 cases from January 14 to February 12, 2020 and 1286 close contacts. We compare cases identified through symptomatic surveillance and contact tracing, and estimate the time from symptom onset to c...
121 CitationsSource
#1Stephen A. Lauer (Johns Hopkins University)H-Index: 10
#2Kyra H. Grantz (Johns Hopkins University)H-Index: 4
Last. Justin Lessler (Johns Hopkins University)H-Index: 43
view all 9 authors...
BACKGROUND: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in China in December 2019. There is limited support for many of its key epidemiologic features, including the incubation period for clinical disease (coronavirus disease 2019 [COVID-19]), which has important implications for surveillance and control activities. OBJECTIVE: To estimate the length of the incubation period of COVID-19 and describe its public health implications. DESIGN...
627 CitationsSource
#1Stephen A. Lauer (Johns Hopkins University)H-Index: 10
#1Stephen A. Lauer (Johns Hopkins University)H-Index: 2
Last. Justin Lessler (Johns Hopkins University)H-Index: 43
view all 9 authors...
A novel human coronavirus (2019-nCoV) was identified in China in December, 2019. There is limited support for many of its key epidemiologic features, including the incubation period, which has important implications for surveillance and control activities. Here, we use data from public reports of 101 confirmed cases in 38 provinces, regions, and countries outside of Wuhan (Hubei province, China) with identifiable exposure windows and known dates of symptom onset to estimate the incubation period...
26 CitationsSource
#1Qifang Bi (Johns Hopkins University)H-Index: 10
#2Katherine E. Goodman (Johns Hopkins University)H-Index: 5
Last. Justin Lessler (Johns Hopkins University)H-Index: 43
view all 4 authors...
: Machine learning is a branch of computer science that has the potential to transform epidemiological sciences. Amid a growing focus on "Big Data," it offers epidemiologists new tools to tackle problems for which classical methods are not well-suited. In order to critically evaluate the value of integrating machine learning algorithms and existing methods, however, it is essential to address language and technical barriers between the two fields that can make it difficult for epidemiologists to...
8 CitationsSource
#1Qifang Bi (Johns Hopkins University)H-Index: 10
#2Fadhil M AbdallaH-Index: 1
Last. Andrew S. Azman (Johns Hopkins University)H-Index: 22
view all 15 authors...
Background: Cholera poses a public health and economic threat to Zanzibar. Detailed epidemiologic analyses are needed to inform a multisectoral cholera elimination plan currently under development. Methods: We collated passive surveillance data from 1997 to 2017 and calculated the outbreak-specific and cumulative incidence of suspected cholera per shehia (neighborhood). We explored the variability in shehia-specific relative cholera risk and explored the predictive power of targeting interventio...
1 CitationsSource
#1Stephen A. Lauer (UMass: University of Massachusetts Amherst)H-Index: 10
#2Krzysztof Sakrejda (UMass: University of Massachusetts Amherst)H-Index: 7
Last. Nicholas G. Reich (UMass: University of Massachusetts Amherst)H-Index: 6
view all 13 authors...
Dengue hemorrhagic fever (DHF), a severe manifestation of dengue viral infection that can cause severe bleeding, organ impairment, and even death, affects between 15,000 and 105,000 people each year in Thailand. While all Thai provinces experience at least one DHF case most years, the distribution of cases shifts regionally from year to year. Accurately forecasting where DHF outbreaks occur before the dengue season could help public health officials prioritize public health activities. We develo...
16 CitationsSource
#1Qifang Bi (Johns Hopkins University)H-Index: 10
#2Eva Ferreras (ISCIII: Carlos III Health Institute)H-Index: 3
Last. Myron M. LevineH-Index: 111
view all 36 authors...
Summary Background Killed whole-cell oral cholera vaccines (kOCVs) are becoming a standard cholera control and prevention tool. However, vaccine efficacy and direct effectiveness estimates have varied, with differences in study design, location, follow-up duration, and vaccine composition posing challenges for public health decision making. We did a systematic review and meta-analysis to generate average estimates of kOCV efficacy and direct effectiveness from the available literature. Methods F...
44 CitationsSource
#1Justin Lessler (Johns Hopkins University)H-Index: 43
#2Cassandra T. Ott (Johns Hopkins University)H-Index: 3
Last. Lelia H. Chaisson (Johns Hopkins University)H-Index: 12
view all 10 authors...
Objective To estimate the timing of key events in the natural history of Zika virus infection.
51 CitationsSource
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