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A review and agenda for integrated disease models including social and behavioural factors.
Bedson, Jamie; Skrip, Laura A; Pedi, Danielle; Abramowitz, Sharon; Carter, Simone; Jalloh, Mohamed F; Funk, Sebastian; Gobat, Nina; Giles-Vernick, Tamara; Chowell, Gerardo; de Almeida, João Rangel; Elessawi, Rania; Scarpino, Samuel V; Hammond, Ross A; Briand, Sylvie; Epstein, Joshua M; Hébert-Dufresne, Laurent; Althouse, Benjamin M.
  • Bedson J; Independent Consultant, Seattle, WA, USA.
  • Skrip LA; Institute for Disease Modeling, Global Health, Bill & Melinda Gates Foundation, Seattle, WA, USA.
  • Pedi D; University of Liberia, Monrovia, Liberia.
  • Abramowitz S; Bill & Melinda Gates Foundation, Seattle, WA, USA.
  • Carter S; Independent Consultant, Isle la Motte, VT, USA.
  • Jalloh MF; Social Science Analytics Cell, UNICEF, Kinshasa, Democratic Republic of the Congo.
  • Funk S; UNICEF Public Health Emergencies, UNICEF, Geneva, Switzerland.
  • Gobat N; Karolinska Institutet, Stockholm, Sweden.
  • Giles-Vernick T; Centre for Mathematical Modelling of Infectious Disease Dynamics, London School of Hygiene & Tropical Medicine, London, UK.
  • Chowell G; University of Oxford, Oxford, UK.
  • de Almeida JR; Global Outbreak Alert and Response Network, Geneva, Switzerland.
  • Elessawi R; Institut Pasteur, Paris, France.
  • Scarpino SV; Sonar-Global Network, Paris, France.
  • Hammond RA; Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
  • Briand S; Wellcome Trust, London, UK.
  • Epstein JM; UNICEF C4D, New York, NY, USA.
  • Hébert-Dufresne L; Network Science Institute, Northeastern University, Boston, MA, USA.
  • Althouse BM; Department of Marine & Environmental Sciences, Northeastern University, Boston, MA, USA.
Nat Hum Behav ; 5(7): 834-846, 2021 07.
Article in English | MEDLINE | ID: covidwho-1286458
ABSTRACT
Social and behavioural factors are critical to the emergence, spread and containment of human disease, and are key determinants of the course, duration and outcomes of disease outbreaks. Recent epidemics of Ebola in West Africa and coronavirus disease 2019 (COVID-19) globally have reinforced the importance of developing infectious disease models that better integrate social and behavioural dynamics and theories. Meanwhile, the growth in capacity, coordination and prioritization of social science research and of risk communication and community engagement (RCCE) practice within the current pandemic response provides an opportunity for collaboration among epidemiological modellers, social scientists and RCCE practitioners towards a mutually beneficial research and practice agenda. Here, we provide a review of the current modelling methodologies and describe the challenges and opportunities for integrating them with social science research and RCCE practice. Finally, we set out an agenda for advancing transdisciplinary collaboration for integrated disease modelling and for more robust policy and practice for reducing disease transmission.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Primary Prevention / Health Behavior / Disease Outbreaks / Hemorrhagic Fever, Ebola / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Nat Hum Behav Year: 2021 Document Type: Article Affiliation country: S41562-021-01136-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Primary Prevention / Health Behavior / Disease Outbreaks / Hemorrhagic Fever, Ebola / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Nat Hum Behav Year: 2021 Document Type: Article Affiliation country: S41562-021-01136-2