P-A Absil
Datos Biográficos
| ID | 7951111 |
|---|---|
| NOMBRE | P-A Absil |
| NOMBRES | P-A |
| APELLIDO | Absil |
| FIRMA | ABSIL P |
| VERIFICADO | No |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 1 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
Generalized Linear Models to Forecast Malaria Incidence in Three Endemic Regions of Senegal
Affecting millions of individuals yearly, malaria is one of the most dangerous and deadly tropical diseases. It is a major global public health problem, with an alarming spread of parasite transmitted by mosquito (Anophele). Various studies have emerged that construct a mathematical and statistical model for malaria incidence forecasting. In this study, we formulate a generalized linear model based on Poisson and negative binomial regression mode…
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Generalized Linear Models to Forecast Malaria Incidence in Three Endemic Regions of Senegal
Affecting millions of individuals yearly, malaria is one of the most dangerous and deadly tropical diseases. It is a major global public health problem, with an alarming spread of parasite transmitted by mosquito (Anophele). Various studies have emerged that construct a mathematical and statistical model for malaria incidence forecasting. In this study, we formulate a generalized linear model based on Poisson and negative binomial regression mode…
Biology (1 obra) · COVID-19 epidemiological studies (1 obra) · Econometrics (1 obra) · Environmental health (1 obra) · Generalized linear model (1 obra) · Geography (1 obra) · Incidence (geometry (1 obra) · Linear regression (1 obra) · Malaria (1 obra) · Malaria Research and Control (1 obra)