Your browser doesn't support javascript.
loading
Modeling the Impact of Proactive Community Case Management on Reducing Confirmed Malaria Cases in Sub-Saharan African Countries.
Wang, Yifan; Wang, Xingjian; Gurbaxani, Brian; Gutman, Julie R; Keskinocak, Pinar; Smalley, Hannah K; Thwing, Julie.
Afiliação
  • Wang Y; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
  • Wang X; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
  • Gurbaxani B; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
  • Gutman JR; National Center for Immunization and Respiratory Diseases, Influenza Division, Epidemiology and Prevention Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Keskinocak P; Division of Parasitic Diseases and Malaria, Global Health Center, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Smalley HK; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
  • Thwing J; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
Am J Trop Med Hyg ; 111(3): 490-497, 2024 Sep 04.
Article em En | MEDLINE | ID: mdl-38981503
ABSTRACT
Malaria continues to be a major source of morbidity and mortality in sub-Saharan Africa. Timely, accurate, and effective case management is critical to malaria control. Proactive community case management (ProCCM) is a new strategy in which a community health worker "sweeps" a village, visiting households at defined intervals to proactively provide diagnostic testing and treatment if indicated. Pilot experiments have shown the potential of ProCCM for controlling malaria transmission; identifying the best strategy for administering ProCCM in terms of interval timings and number of sweeps could lead to further reductions in malaria infections. We developed an agent-based simulation to model malaria transmission and the impact of various ProCCM strategies. The model was validated using symptomatic prevalence data from a ProCCM pilot study in Senegal. Various ProCCM strategies were tested to evaluate the potential for reducing parasitologically confirmed symptomatic malaria cases in the Senegal setting. We found that weekly ProCCM sweeps during a 21-week transmission season could reduce cases by 36.3% per year compared with no sweeps. Alternatively, two initial fortnightly sweeps, seven weekly sweeps, and finally four fortnightly sweeps (13 sweeps total) could reduce confirmed malaria cases by 30.5% per year while reducing the number of diagnostic tests and corresponding costs by about 33%. Under a highly seasonal transmission setting, starting the sweeps early with longer duration and higher frequency would increase the impact of ProCCM, though with diminishing returns. The model is flexible and allows decision-makers to evaluate implementation strategies incorporating sweep frequency, time of year, and available budget.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Administração de Caso / Malária Limite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Male País/Região como assunto: Africa Idioma: En Revista: Am J Trop Med Hyg Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Geórgia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Administração de Caso / Malária Limite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Male País/Região como assunto: Africa Idioma: En Revista: Am J Trop Med Hyg Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Geórgia