Takayoshi Ikeda
Biographic Data
| ID | 7700787 |
|---|---|
| NAME | Takayoshi Ikeda |
| GIVEN NAMES | Takayoshi |
| FAMILY NAME | Ikeda |
| SIGNATURE | IKEDA T |
| AFFILIATIONS | University of Otago |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning
Malaria is the cause of nearly half a million deaths worldwide each year, posing a great socioeconomic burden. Despite recent progress in understanding the influence of climate on malaria infection rates, climatic sources of predictability remain poorly understood and underexploited. Local weather variability alone provides predictive power at short lead times of 1–2 months, too short to adequately plan intervention measures. Here, we show that t…
Modelling the implications of regular increases in tobacco taxation in the tobacco endgame
Regular increases in tobacco taxation could play an important role in helping to achieve tobacco endgames. However, this modelling in New Zealand suggests that a wider range of tobacco endgame strategies will be needed to achieve a smoke-free goal of less than 5% prevalence for all social groups--a conclusion that could also apply in other countries
What will it take to get to under 5% smoking prevalence by 2025? Modelling in a country with a smokefree goal
The smokefree goal of <5% prevalence is only feasible with large increases in cessation rates
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What will it take to get to under 5% smoking prevalence by 2025? Modelling in a country with a smokefree goal
The smokefree goal of <5% prevalence is only feasible with large increases in cessation rates
Modelling the implications of regular increases in tobacco taxation in the tobacco endgame
Regular increases in tobacco taxation could play an important role in helping to achieve tobacco endgames. However, this modelling in New Zealand suggests that a wider range of tobacco endgame strategies will be needed to achieve a smoke-free goal of less than 5% prevalence for all social groups--a conclusion that could also apply in other countries
Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning
Malaria is the cause of nearly half a million deaths worldwide each year, posing a great socioeconomic burden. Despite recent progress in understanding the influence of climate on malaria infection rates, climatic sources of predictability remain poorly understood and underexploited. Local weather variability alone provides predictive power at short lead times of 1–2 months, too short to adequately plan intervention measures. Here, we show that t…
Medicine (3 works) · Environmental health (2 works) · Political science (2 works) · Public health (2 works) · Tobacco control (2 works) · Business (1 work) · Canadian Policy and Governance (1 work) · Census (1 work) · Chess endgame (1 work) · Climate variability and models (1 work)