Comprehensive Profiling of Social Mixing Patterns in Resource Poor Countries

资源匮乏国家社会混合模式的综合分析

• 批准号: 10610730
• 负责人: Benjamin A Lopman
• 金额: $ 50.45万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-19 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10610730
• 关键词: Africa South of the Sahara; Age; Age Months; Asia; Birth Order; Central America; Cessation of life; Child; Childhood; Collaborations; Communicable Diseases; Communities; Country; Data; Databases; Decision Making; Development; Devices; Disease; Documentation; Effectiveness; Ensure; Enteral; European; Geographic Locations; Geography; Goals; Government; Guatemala; Health Policy; Herd Immunity; Hospitalization; Household; Immunity; Immunization Programs; India; Individual; Inequity; Infant; Infection; Influentials; Infrastructure; Intervention; Investments; Location; Low Income Population; Low income; Measurement; Methods; Modeling; Morbidity - disease rate; Mozambique; Pakistan; Pattern; Persons; Play; Policies; Population; Predisposition; Recording of previous events; Research Personnel; Resolution; Resources; Respiratory Disease; Role; Rural; Rural Population; Seasons; Site; Social Interaction; Social Sciences; Standardization; Subgroup; System; Urban Population; Vaccinated; Vaccines; Vulnerable Populations; age group; data access; data sharing; diaries; disease transmission; disorder control; infectious disease model; innovation; low and middle-income countries; mathematical model; member; open data; public database; rural setting; sex; social; social contact; social determinants; social influence; tool; transmission process; urban setting

PROJECT SUMMARY/ABSTRACT Dynamic transmission models of infectious diseases are increasingly influential for developing interventions and informing policy. Infectious disease transmissibility and hence, the effectiveness of control strategies, is strongly influenced by social interactions. Consequently, accurate data on social contact rates and mixing patterns are fundamental parameters in the calculation of the force of infection (i.e. the rate of susceptible individuals becoming infected). Despite the strong role social mixing patterns play in the accurate parameterization of mathematical models, these data remain limited, particularly in low and middle-income countries (LMICs). There are also limited data on the social interactions of young infants that are too young to be vaccinated or the diversity in patterns between rural and urban populations at the community level, which are important factors for understanding infectious disease transmission. We propose the first multi-site study with the overall goal to use standardized methods to collect social contact data from urban and rural populations in LMICs. Special focus will be given to study the social interactions of infants less than six months of age. Data will be rigorously collected from four different LMICs: Guatemala, Pakistan, India and Mozambique. We will use standardized social contact diaries to characterize the patterns of social contacts and mixing across the age range in urban and rural LMIC settings. We will also comprehensively profile the social contacts of infants with their household members in LMICs by analyzing high resolution measurements collected using wearable proximity-sensing devices. Moreover, through this project, we will create a database of social mixing data on LMIC populations. We will make this database publicly available using contemporary standards in Open Access data sharing and documentation. These data can be used by infectious disease modelers and other researchers in the biomedical and social science communities.

项目总结/摘要 传染病的动态传播模型越来越有影响力， 制定干预措施并为政策提供信息。传染病的传染性和 因此，控制策略的有效性受到社会因素的强烈影响。 交互.因此，关于社会接触率和混合模式的准确数据 是计算感染力的基本参数（即， 易受感染的个体）。尽管社会融合的强大作用 模式在数学模型的精确参数化中发挥作用，这些数据 特别是在低收入和中等收入国家。也有 关于太小而不能被社会化的婴儿的社会互动的数据有限。 农村和城市人口之间的模式多样性， 社区水平，这是了解传染病的重要因素 传输 我们提出了第一个多中心研究，其总体目标是使用标准化方法， 收集低收入国家城市和农村人口的社会接触数据。特别重点将 研究不到六个月大的婴儿的社会互动。数据将 从四个不同的LMIC严格收集：危地马拉，巴基斯坦，印度和 莫桑比克.我们将使用标准化的社交日记来描述这些模式 在城市和农村低收入国家环境中，社会接触和混合的年龄范围。我们 还将全面分析婴儿与其家庭的社会联系， 通过分析使用可穿戴设备收集的高分辨率测量结果， 接近感应装置。 此外，通过这个项目，我们将创建一个关于LMIC的社会混合数据库 人口。我们将使用当代标准公开这个数据库 开放获取数据共享和文档。这些数据可以用于传染病 疾病建模者和其他生物医学和社会科学研究人员 社区.

项目成果

Comprehensive profiling of social mixing patterns in resource poor countries: a mixed methods research protocol.

资源匮乏国家社会混合模式的综合分析：混合方法研究协议。

• DOI: 10.1101/2023.12.05.23299472
• 发表时间: 2023
• 期刊: medRxiv : the preprint server for health sciences
• 作者: Aguolu,ObianujuGenevieve;Kiti,MosesChapa;Nelson,Kristin;Liu,CarolY;Sundaram,Maria;Gramacho,Sergio;Jenness,Samuel;Melegaro,Alessia;Sacoor,Charfudin;Bardaji,Azucena;Macicame,Ivalda;Jose,Americo;Cavele,Nilzio;Amosse,Felizarda;U
• 通讯作者: U

Rapid Review of Social Contact Patterns During the COVID-19 Pandemic.

• DOI: 10.1097/ede.0000000000001412
• 发表时间: 2021-11-01
• 期刊: Epidemiology (Cambridge, Mass.)
• 作者: Liu CY;Berlin J;Kiti MC;Del Fava E;Grow A;Zagheni E;Melegaro A;Jenness SM;Omer SB;Lopman B;Nelson K
• 通讯作者: Nelson K

Changing social contact patterns among US workers during the COVID-19 pandemic: April 2020 to December 2021.

COVID-19 大流行期间美国工人社交接触模式的变化：2020 年 4 月至 2021 年 12 月。

• DOI: 10.1101/2022.12.19.22283700
• 发表时间: 2022
• 期刊: medRxiv : the preprint server for health sciences
• 作者: Kiti,MosesC;Aguolu,ObianujuG;Zelaya,Alana;Chen,HolinY;Ahmed,Noureen;Battross,Jonathan;Liu,CarolY;Nelson,KristinN;Jenness,SamuelM;Melegaro,Alessia;Ahmed,Faruque;Malik,Fauzia;Omer,SaadB;Lopman,BenA
• 通讯作者: Lopman,BenA

Dynamic network strategies for SARS-CoV-2 control on a cruise ship.

• DOI: 10.1016/j.epidem.2021.100488
• 发表时间: 2021-12
• 期刊: Epidemics
• 影响因子: 3.8
• 作者: Jenness SM;Willebrand KS;Malik AA;Lopman BA;Omer SB
• 通讯作者: Omer SB

Social contact patterns among employees in 3 U.S. companies during early phases of the COVID-19 pandemic, April to June 2020.

• DOI: 10.1016/j.epidem.2021.100481
• 发表时间: 2021-09
• 期刊: Epidemics
• 影响因子: 3.8
• 作者: Kiti MC;Aguolu OG;Liu CY;Mesa AR;Regina R;Woody M;Willebrand K;Couzens C;Bartelsmeyer T;Nelson KN;Jenness S;Riley S;Melegaro A;Ahmed F;Malik F;Lopman BA;Omer SB
• 通讯作者: Omer SB