This paper deals with the problem of the prediction and control of cholera outbreak using real data of Cameroon.We first develop and analyze a deterministic model with seasonality for the cholera,the novelty of which ...This paper deals with the problem of the prediction and control of cholera outbreak using real data of Cameroon.We first develop and analyze a deterministic model with seasonality for the cholera,the novelty of which lies in the incorporation of undetected cases.We present the basic properties of the model and compute two explicit threshold parametersR_(0)and R_(0).that bound the effective reproduction number,from below and above,that is R_(0)≤R_(0)≤R_(0).We prove that cholera tends to disappear whenR_(0)≤1,while when R_(0)>1,cholera persists uniformly within the population.After,assuming that the cholera transmission rates and the proportions of newly symptomatic are unknown,we develop the EnKf approach to estimate unmeasurable state variables and these unknown parameters using real data of cholera from 2014 to 2022 in Cameroon.We use this result to estimate the upper and lower bound of the effective reproduction number and reconstructed active asymptomatic and symptomatic cholera cases in Cameroon,and give a short-term forecasts of cholera in Cameroon until 2024.Numerical simulations show that(i)the transmission rate from free Vibrio cholerae in the environment is more important than the human transmission and begin to be high few week after May and in October,(ii)90%of newly cholera infected cases that present the symptoms of cholera are not diagnosed and(iii)60.36%of asymptomatic are detected at 14%and 86%of them recover naturally.The future trends reveals that an outbreak appeared from July to November 2023 with the number of cases reported monthly peaked in October 2023.An impulsive control strategy is incorporated in the model with the aim to avoid or prevent the cholera outbreak.In the first year of monitoring,we observed a reduction of more than 75%of incidences and the disappearance of the peaks when no control are available in Cameroon.A second monitoring of control led to a further reduction of around 60%of incidences the following year,showing how impulse control could be an effective means of eradicating cholera.展开更多
基金Hameni Nkwayep Cedric acknowledges the support of the African-German Network of Excellence in Science(AGNES)for granting a Mobility Grant in 2022the Grant is generously sponsored by German Federal Ministry of Education and Research and supported by the Alexander von Humboldt Foundation.
文摘This paper deals with the problem of the prediction and control of cholera outbreak using real data of Cameroon.We first develop and analyze a deterministic model with seasonality for the cholera,the novelty of which lies in the incorporation of undetected cases.We present the basic properties of the model and compute two explicit threshold parametersR_(0)and R_(0).that bound the effective reproduction number,from below and above,that is R_(0)≤R_(0)≤R_(0).We prove that cholera tends to disappear whenR_(0)≤1,while when R_(0)>1,cholera persists uniformly within the population.After,assuming that the cholera transmission rates and the proportions of newly symptomatic are unknown,we develop the EnKf approach to estimate unmeasurable state variables and these unknown parameters using real data of cholera from 2014 to 2022 in Cameroon.We use this result to estimate the upper and lower bound of the effective reproduction number and reconstructed active asymptomatic and symptomatic cholera cases in Cameroon,and give a short-term forecasts of cholera in Cameroon until 2024.Numerical simulations show that(i)the transmission rate from free Vibrio cholerae in the environment is more important than the human transmission and begin to be high few week after May and in October,(ii)90%of newly cholera infected cases that present the symptoms of cholera are not diagnosed and(iii)60.36%of asymptomatic are detected at 14%and 86%of them recover naturally.The future trends reveals that an outbreak appeared from July to November 2023 with the number of cases reported monthly peaked in October 2023.An impulsive control strategy is incorporated in the model with the aim to avoid or prevent the cholera outbreak.In the first year of monitoring,we observed a reduction of more than 75%of incidences and the disappearance of the peaks when no control are available in Cameroon.A second monitoring of control led to a further reduction of around 60%of incidences the following year,showing how impulse control could be an effective means of eradicating cholera.
