The paper proposes Metropolis adjusted Langevin and Hamiltonian Monte Carlo sampling
methods defined on the Riemann manifold to resolve the shortcomings of existing Monte …

Climate change is likely to profoundly modulate the burden of infectious diseases. However,
attributing health impacts to a changing climate requires being able to associate changes in …

Warming trends and increasing temperature extremes have been observed across most of
the Asian region over the past century (high confidence).{24.3} Increasing numbers of warm …

Bangladesh is one of the world's most vulnerable countries for climate change. This
observational study examined the association of temperature, humidity and rainfall with six …

Iterated filtering algorithms are stochastic optimization procedures for latent variable models
that recursively combine parameter perturbations with latent variable reconstruction …

Climate change impacts on malaria are typically assessed with scenarios for the long-term
future. Here we focus instead on the recent past (1970–2003) to address whether warmer …

Assessment of the relative impact of climate change on malaria dynamics is a complex
problem. Climate is a well-known factor that plays a crucial role in driving malaria outbreaks …

Climate change has pushed the natural limits of our environment, creating extreme weather
events that are more frequent and more intense in certain locations around the globe. There …

Urbanization and rural–urban migration are two factors driving global patterns of disease
and mortality. There is significant concern about their potential impact on disease burden …

Identifying climate drivers is essential to understand and predict epidemics of mosquito-
borne infections whose population dynamics typically exhibit seasonality and multiannual …