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Infectious Diseases Control

  • SDGs3
Principal Investigator (Affiliation) 日本 Prof.
MINAKAWA Noboru
(Institute of Tropical Medicine, Nagasaki University)
南 Dr.
Neville Sweijd
(Director, Alliance for Collaboration on Climate & Earth Systems Science (ACCESS))
Research Institutions in Japan Nagasaki University / Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
Research Institutions in South Africa Alliance for Collaboration on Climate & Earth Systems Science (ACCESS), etc.
Adoption fiscal year FY 2013
Research Period 5 Years
ODA Recipient Country Republic of South Africa
General Description of the Research Project

Establishment of an early-warning system for infectious diseases in Southern Africa, incorporating climate predictions
In Southern Africa, where poverty is prominent, lives are threatened by infectious diseases. Recent climate changes have increased the possible risks of infectious disease outbreaks in unexpected regions and on scales previously unknown. This project is developing an infectious disease outbreak prediction model that incorporates the influences of a variety of environmental factors into the climate change models in order to predict the outbreaks of malaria, pneumonia, and diarrheal diseases such as cholera that are predominantly affected by climate conditions. The ultimate aim of the research is to build an early warning system that can be applied in implementing effective countermeasures for infectious disease.

Future application of the system for areas other than Southern Africa!
By effectively utilizing the informative resources available to government institutions based on the early warning system, the number of people suffering from diseases can be reduced. The predictions can be applied through approaches involving appropriate preventative measures during warning periods and in high-risk regions (including implementation of countermeasures, preparation of medicines and diagnostic kits for an early response). In the future, the system can also be expected to be developed and deployed in areas outside Southern Africa.

Photo gallery
The new model improved the predictions of sea surface temperature and climate variability

The new model improved the predictions of sea surface temperature and climate variability

With no respect for national borders, climate change and changes in weather conditions can affect the occurrence of vector mosquitoes.

With no respect for national borders, climate change and changes in weather conditions can affect the occurrence of vector mosquitoes.

  The prediction of disease outbreak allows effective control measures such as insecticide spray

The prediction of disease outbreak allows effective control measures such as insecticide spray

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