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An age and sex structured model formulated in differential equations was developed for simulating the dynamics of a cattle herd population in a district. Since management practices determine the herd’s structure, this model considers explicitly common practices, such as seasonal service, calving, weaning and the replacement of animals for reproduction, usually implemented in Argentina’s livestock system.

The objective of this cross-sectional study was to describe the main symptoms associated with COVID-19, and their diagnostic characteristics, to aid in the clinical diagnosis.

Ross-Macdonald models are the building blocks of most vector-borne disease models. Even for the same disease, different authors use different model formulations, but a study of the dynamical consequences of assuming different hypotheses is missing. In this work we present different formulations of the basic Ross-Macdonald model together with a careful discussion of the assumptions behind each model.

Here we present a structured matrix population model for analyzing the effect of temperature on the population dynamics of Aedes aegypti. The model is structured following the four natural stages of the species. A set of population projection matrices (one for each temperature between 5 and 30 °C), was constructed and parameterized using published data on the biology of the species. The population dynamics was simulated under different seasonal scenarios. This seasonal analysis allows asserting that the egg stage dominates the population dynamics at all seasons.

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