The 2018–2019 weak El Niño: Pbkp_redicting the risk of a dengue outbreak in Machala, Ecuador


Abstract:

Between October 2018 - May 2019, sea surface temperature conditions in the central-eastern tropical Pacific indicated a mild El Niño event. In May 2019, the global El Niño Southern Oscillation (ENSO) forecast consensus was that these generally weak warm patterns will persist at least until the end of the northern hemisphere summer. El Niño and its impact on local climatic conditions in southern coastal Ecuador influence the inter-annual transmission of dengue fever in the region. In this study, we use an ENSO model to issue forecasts of El Niño for the year 2019, which are then used to pbkp_redict local climate variables, precipitation and minimum temperature, in the city of Machala, Ecuador. All these forecasts are incorporated in a dengue transmission model, specifically developed and tested for this area, to produce out-of-sample pbkp_redictions of dengue risk. Pbkp_redictions are issued at the beginning of January 2019 for the whole year, thus providing the longest forecast lead time of 12 months. Preliminary results indicate that the mild and ongoing El Niño event did not provide the optimum climate conditions for dengue transmission, with the model pbkp_redicting a very low probability of a dengue outbreak during the typical peak season in Machala in 2019. This is contrary to 2016, when a large El Niño event resulted in excess rainfall and warmer temperatures in the region, and a dengue outbreak occurred 3 months earlier than expected. This event was successfully pbkp_redicted using a similar pbkp_rediction framework to the one applied here. With the present study, we continue our efforts to build and test a climate service tool to issue early warnings of dengue outbreaks in the region.

Año de publicación:

2021

Keywords:

  • 3. physical phenomenon
  • forecasting (methods)
  • 2. scale, seasonal
  • 1. tools and methods, analysis
  • 1. tools and methods, observational data analysis
  • 1. tools and methods, dynamic/processes
  • 1. tools and methods, climate
  • 2. scale, dynamics
  • 1. tools and methods, statistical methods

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Epidemiología
  • Salud pública
  • Epidemiología

Áreas temáticas:

  • Geología, hidrología, meteorología
  • Otros problemas y servicios sociales