Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread.
Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread.
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利用数字监测工具对传染病传播风险进行近实时绘图。
DOI：
10.1038/s41746-021-00442-3
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发表时间：
2021-04-16
影响因子：
15.2
通讯作者：
Nouvellet P
中科院分区：
文献类型：
--
作者：
Bhatia S;Lassmann B;Cohn E;Desai AN;Carrion M;Kraemer MUG;Herringer M;Brownstein J;Madoff L;Cori A;Nouvellet P
来自ProMED和HealthMap等数字疾病监测工具的数据可以补充正在发生的疫情期间的实地监测。我们的目的是调查使用通过ProMED和HealthMap收集的数据进行实时疫情分析。我们开发了一个灵活的统计模型来量化疫情传播风险的空间异质性，并预测短期发病率趋势。该模型回顾性地应用于ProMED和HealthMap在2013-2016年西非埃博拉疫情期间收集的数据，并与世卫组织的数据进行比较。使用ProMED和HealthMap数据，该模型能够提前1-4周稳健地量化疾病传播的风险，对于有病例输入风险的国家，量化这种风险来自何处。我们的研究强调，ProMED和HealthMap数据可以实时用于量化疫情传播风险的空间异质性。
Data from digital disease surveillance tools such as ProMED and HealthMap can complement the field surveillance during ongoing outbreaks. Our aim was to investigate the use of data collected through ProMED and HealthMap in real-time outbreak analysis. We developed a flexible statistical model to quantify spatial heterogeneity in the risk of spread of an outbreak and to forecast short term incidence trends. The model was applied retrospectively to data collected by ProMED and HealthMap during the 2013–2016 West African Ebola epidemic and for comparison, to WHO data. Using ProMED and HealthMap data, the model was able to robustly quantify the risk of disease spread 1–4 weeks in advance and for countries at risk of case importations, quantify where this risk comes from. Our study highlights that ProMED and HealthMap data could be used in real-time to quantify the spatial heterogeneity in risk of spread of an outbreak.
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DOI：
10.1056/nejmoa1411100
发表时间：
2014-10-16
期刊：
The New England journal of medicine
影响因子：
--
作者：
WHO Ebola Response Team;Aylward B;Barboza P;Bawo L;Bertherat E;Bilivogui P;Blake I;Brennan R;Briand S;Chakauya JM;Chitala K;Conteh RM;Cori A;Croisier A;Dangou JM;Diallo B;Donnelly CA;Dye C;Eckmanns T;Ferguson NM;Formenty P;Fuhrer C;Fukuda K;Garske T;Gasasira A;Gbanyan S;Graaff P;Heleze E;Jambai A;Jombart T;Kasolo F;Kadiobo AM;Keita S;Kertesz D;Koné M;Lane C;Markoff J;Massaquoi M;Mills H;Mulba JM;Musa E;Myhre J;Nasidi A;Nilles E;Nouvellet P;Nshimirimana D;Nuttall I;Nyenswah T;Olu O;Pendergast S;Perea W;Polonsky J;Riley S;Ronveaux O;Sakoba K;Santhana Gopala Krishnan R;Senga M;Shuaib F;Van Kerkhove MD;Vaz R;Wijekoon Kannangarage N;Yoti Z
通讯作者：
Yoti Z
影响因子：
29.9
作者：
Aleta A;Martín-Corral D;Pastore Y Piontti A;Ajelli M;Litvinova M;Chinazzi M;Dean NE;Halloran ME;Longini IM Jr;Merler S;Pentland A;Vespignani A;Moro E;Moreno Y
通讯作者：
Moreno Y
影响因子：
15.8
作者：
International Ebola Response Team;Agua-Agum J;Ariyarajah A;Aylward B;Bawo L;Bilivogui P;Blake IM;Brennan RJ;Cawthorne A;Cleary E;Clement P;Conteh R;Cori A;Dafae F;Dahl B;Dangou JM;Diallo B;Donnelly CA;Dorigatti I;Dye C;Eckmanns T;Fallah M;Ferguson NM;Fiebig L;Fraser C;Garske T;Gonzalez L;Hamblion E;Hamid N;Hersey S;Hinsley W;Jambei A;Jombart T;Kargbo D;Keita S;Kinzer M;George FK;Godefroy B;Gutierrez G;Kannangarage N;Mills HL;Moller T;Meijers S;Mohamed Y;Morgan O;Nedjati-Gilani G;Newton E;Nouvellet P;Nyenswah T;Perea W;Perkins D;Riley S;Rodier G;Rondy M;Sagrado M;Savulescu C;Schafer IJ;Schumacher D;Seyler T;Shah A;Van Kerkhove MD;Wesseh CS;Yoti Z
通讯作者：
Yoti Z
影响因子：
56.9
作者：
Chinazzi, Matteo;Davis, Jessica T.;Vespignani, Alessandro
通讯作者：
Vespignani, Alessandro
影响因子：
4
作者：
Boland, Samuel T.;Polich, Erin;Tran, Anh-Minh A.
通讯作者：
Tran, Anh-Minh A.