Crimean-Congo haemorrhagic fever (CCHF) is a highly contagious tick-borne disease that impacts many countries in parts of Africa, Europe, Asia, and the Middle East. Outbreaks are episodic, but deadly. Due to the highly contagious nature of this disease, suspected cases are taken extremely serious, with very strong control measures implemented almost immediately. It is primarily those living on farms, livestock workers, and medical workers who are at risk. The virus responsible for CCHF is transmitted asymptomatically and transiently to livestock, and symptomatically to humans. The fatality rate in human cases can be very high. The number of methods and directions of viral transmission is large, including tick-to-tick, tick-to-livestock, tick-to-human, livestock-to-tick, livestock-to-human, and human-to-human. We model CCHF using a deterministic system of nonlinear differential equations. This compartment model allows us to analyse threshold parameters and equilibria describing the magnitude and progression of cases of the disease in a hypothetical outbreak.

Purpose Vaccination toward coronavirus disease (COVID-19) has been recommended and adopted as one of the measures of reducing the spread of this novel disease worldwide. Despite this, vaccine uptake among the Ugandan population has been low with reasons surrounding this being unknown. This study aimed to investigate the factors associated with COVID-19 vaccine hesitancy in Uganda. Methods A cross-sectional study was conducted on a total of 1042 adults in the districts of Mukono, Kiboga, Kumi, Soroti, Gulu, Amuru, Mbarara and Sheema from June to November 2021. Data were analyzed using STATA v.15. Barriers to vaccination were analyzed descriptively, while a binary logistic regression model was used to establish the factors associated with COVID-19 vaccine hesitancy. Results Overall, COVID-19 vaccine hesitancy was 58.6% (611). Respondents from urban areas and those in the eastern or northern region had increased odds of vaccine hesitancy. Further, higher education level and having knowledge on how COVID-19 is transmitted significantly reduced the odds of vaccine hesitancy. The study also noted individual perception such as COVID-19 kills only people with underlying medical conditions, as well as limited awareness on vaccine types or vaccination areas as the main reasons to vaccine hesitancy. Relatedly, other misconceptions like the ability of the vaccine to cause infertility, or spreading the virus into the body, and acknowledgment of alcohol as a possible cure were other reasons for vaccine hesitancy. Conclusion The proportion of COVID-19 vaccine hesitancy is still high among the population with this varying across regions. This is driven by low education level and limited awareness on the vaccination as well as perceived myths and misconceptions. The study recommends mass sensitization of the population on the benefits of vaccination using various channels as well as rolling out community-based outreach vaccination campaigns across the country.

Optimal control theory is applied to a system of ordinary differential equations modeling banana Xanthomonas wilt within plantations. The objective is to reduce the proportion of infected plants by use of controls representing two types of preventive methods: vector and contaminated tool prevention. The optimal controls are characterized in terms of the optimality system, which is solved analytically and numerically for several scenarios.

A mathematical model is used to study the dynamics of ovine brucellosis when transmitted directly from infected individual, through contact with a contaminated environment or vertically through mother to child. The model developed by Aïnseba et al. [A model for ovine brucellosis incorporating direct and indirect transmission, J.

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