Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa

数据流在非洲感染动态通报中的作用 - INFORM Africa

• 批准号: 10672628
• 负责人: Alash'le G. Abimiku
• 金额: $ 11.04万
• 依托单位: INSTITUTE OF HUMAN VIROLOGY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10672628
• 关键词: 2019-nCoV; Address; Administrative Supplement; Adoption; Aerosols; Affect; Africa; Area; Asthma; Behavior; Big Data; Businesses; Car Phone; Cellular Phone; Cessation of life; Climate; Communicable Diseases; Communities; Complex; Country; Crowding; Custom; Data; Data Collection; Data Science; Data Set; Data Sources; Distant; Droughts; Economic Policy; Economics; Epidemic; Evaluation; Event; Feedback; Floods; Food; Food Access; Funding; Future; Generations; Goals; HIV; Health; Health Personnel; Health Policy; Healthcare; Heat Stress Disorders; Heterogeneity; Hospitals; Human; Human Activities; Humidity; Individual; Inequality; Infection; Influenza; Intelligence; Location; Measurement; Measures; Mediating; Medical; Methodology; Modeling; Movement; Municipalities; Nigeria; Nigerian; Outcome; Pattern; Personal Satisfaction; Pharmacy facility; Population; Population Group; Positioning Attribute; Precipitation; Preparation; Process; Public Health; Rain; Research; Respiratory syncytial virus; Risk; Role; SARS-CoV-2 transmission; Sampling; Services; Shelter facility; South Africa; South African; Statistical Models; Stroke; Surveys; Techniques; Temperature; Testing; Time; Tuberculosis; Underserved Population; Variant; Visit; Vulnerable Populations; Weather; Work; base; behavior change; behavioral economics; climate change; climate impact; cloud based; computer science; data streams; density; disease transmission; electric impedance; experience; extreme heat; extreme weather; health disparity; human model; indexing; innovation; insight; machine learning algorithm; novel; pandemic disease; pandemic preparedness; prototype; resilience; respiratory; social; social disparities; social vulnerability; socioeconomics; statistics; transmission process; weather-related disaster

Title: An Exploratory Research to Quantify SARS-CoV-2 Related Health Effects under Extreme Climate Events Abstract: This novel Pillar-1 “Health Effects Research” will evaluate the role that climate-change and its resulting extreme weather events have on SARS- CoV-2 related health outcomes. There is an urgent and ongoing need of such evaluation to understand the complex and compound effects in preparation for the new SARS-CoV-2 waves and future pandemic. We propose to develop geospatial models to identify how COVID-19 transmissions risks, cases, and deaths are directly related to climate events and therefore quantify the spatial heterogeneity. This research will also explore the use of mobile phone location data sources to identify behavioral and economic changes. Novel human mobility, density, and accessibility indicators will be developed and statistically tested to measure movements, gathering behavior, evacuation, and access of food, healthcare, etc. Such human behavior and changes will again be integrated into a geospatial model to estimate the indirect effects of climate change on health. The impact of climate events may have direct health consequences, but also feedback effects from the induced human gathering and reduced accessibility to food, healthcare and other essential businesses. The proposed study will innovatively quantify such effects of the public health crisis. The highly data rich and disaggregate research approach would also enable the quantification of health effects, social and health disparities faced by vulnerable and underserved populations.

标题:

项目成果

Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air Travel.

值得关注的 SARS-CoV-2 变体的全球扩张：传播模式和航空旅行的影响。

• DOI: 10.1101/2022.11.22.22282629
• 发表时间: 2022
• 期刊: medRxiv : the preprint server for health sciences
• 作者: Tegally,Houriiyah;Wilkinson,Eduan;Martin,Darren;Moir,Monika;Brito,Anderson;Giovanetti,Marta;Khan,Kamran;Huber,Carmen;Bogoch,IsaacI;San,JamesEmmanuel;Tsui,JosephL-H;Poongavanan,Jenicca;Xavier,JoicymaraS;Candido,DarlandaS;R
• 通讯作者: R

Insights into SARS-CoV-2 in Angola during the COVID-19 peak: Molecular epidemiology and genome surveillance.

• DOI: 10.1111/irv.13198
• 发表时间: 2023-09
• 期刊: INFLUENZA AND OTHER RESPIRATORY VIRUSES
• 影响因子: 4.4
• 作者: Francisco, Ngiambudulu M.;van Wyk, Stephanie;Moir, Monika;San, James Emmanuel;Sebastiao, Cruz S.;Tegally, Houriiyah;Xavier, Joicymara;Maharaj, Akhil;Neto, Zoraima;Afonso, Pedro;Jandondo, Domingos;Paixao, Joana;Miranda, Julio;David, Kumbelembe;Ingles, Luzia;Pereira, Amilton;Paulo, Agostinho;Carralero, Raisa Rivas;Freitas, Helga Reis;Mufinda, Franco;Lutucuta, Silvia;Ghafari, Mahan;Giovanetti, Marta;Giandhari, Jennifer;Pillay, Sureshnee;Naidoo, Yeshnee;Singh, Lavanya;Tshiabuila, Derek;Martin, Darren Patrick;Chabuka, Lucious;Choga, Wonderful;Wanjohi, Dorcas;Mwangi, Sarah;Pillay, Yusasha;Kebede, Yenew;Shumba, Edwin;Ondoa, Pascale;Baxter, Cheryl;Wilkinson, Eduan;Tessema, Sofonias Kifle;Katzourakis, Aris;Lessells, Richard;de Oliveira, Tulio;Morais, Joana
• 通讯作者: Morais, Joana

Managing and assembling population-scale data streams, tools and workflows to plan for future pandemics within the INFORM-Africa Consortium.

在 INFORM-非洲联盟内管理和整合人口规模的数据流、工具和工作流程，以规划未来的流行病。

• DOI: 10.17159/sajs.2023/14659
• 发表时间: 2023
• 期刊: South African journal of science
• 影响因子: 2.4
• 作者: Poongavanan,Jenicca;Xavier,Joicymara;Dunaiski,Marcel;Tegally,Houriiyah;Oladejo,Sunday;Ayorinde,Olawole;Wilkinson,Eduan;Baxter,Cheryl;deOliveira,Tulio
• 通讯作者: deOliveira,Tulio

Vaccination, human mobility, and COVID-19 health outcomes: Empirical comparison before and during the outbreak of SARS-Cov-2 B.1.1.529 (Omicron) variant.

• DOI: 10.1016/j.vaccine.2023.05.056
• 发表时间: 2023-08-07
• 期刊: VACCINE
• 影响因子: 5.5
• 作者: Hu, Songhua;Xiong, Chenfeng;Zhao, Yingrui;Yuan, Xin;Wang, Xuqiu
• 通讯作者: Wang, Xuqiu

An Oxford Nanopore Technology-Based Hepatitis B Virus Sequencing Protocol Suitable For Genomic Surveillance Within Clinical Diagnostic Settings.

基于牛津纳米孔技术的乙型肝炎病毒测序方案，适用于临床诊断环境中的基因组监测。

• DOI: 10.1101/2024.01.19.24301519
• 发表时间: 2024
• 期刊: medRxiv : the preprint server for health sciences
• 作者: Tshiabuila,Derek;Choga,Wonderful;James,SanE;Maponga,Tongai;Preiser,Wolfgang;vanZyl,Gert;Moir,Monika;vanWyk,Stephanie;Giandhari,Jennifer;Pillay,Sureshnee;Anyaneji,UgochukwuJ;Lessells,RichardJ;Naidoo,Yeshnee;Sanko,TomaszJanu
• 通讯作者: Sanko,TomaszJanu