Model-Based Estimation of Expected Time to Cholera Extinction in Lusaka, Zambia

Bull Math Biol. 2023 May 19;85(7):55. doi: 10.1007/s11538-023-01149-0.

Abstract

The developing world has been facing a significant health issue due to cholera as an endemic communicable disease. Lusaka was Zambia's worst affected province, with 5414 reported cases of cholera during the outbreak from late October 2017 to May 12, 2018. To explore the epidemiological characteristics associated with the outbreak, we fitted weekly reported cholera cases with a compartmental disease model that incorporates two transmission routes, namely environment-to-human and human-to-human. Estimates of the basic reproduction number show that both transmission modes contributed almost equally during the first wave. In contrast, the environment-to-human transmission appears to be mostly dominating factor for the second wave. Our study finds that a massive abundance of environmental vibrio's with a huge reduction in water sanitation efficacy triggered the secondary wave. To estimate the expected time to extinction (ETE) of cholera, we formulate the stochastic version of our model and find that cholera can last up to 6.5-7 years in Lusaka if any further outbreak occurs at a later time. Results indicate that a considerable amount of attention is to be paid to sanitation and vaccination programs in order to reduce the severity of the disease and to eradicate cholera from the community in Lusaka.

Keywords: Bootstrapping; Cholera outbreak; Expected time to extinction; Intervention strategy; Quasi-stationary; Sensitivity analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cholera* / epidemiology
  • Cholera* / prevention & control
  • Disease Outbreaks
  • Humans
  • Mathematical Concepts
  • Models, Biological
  • Zambia / epidemiology