An Interactive Annotated World Bibliography of Printed and Digital Works in the History of Medicine and the Life Sciences from Circa 2000 BCE to 2022 by Fielding H. Garrison (1870-1935), Leslie T. Morton (1907-2004), and Jeremy M. Norman (1945- ) Traditionally Known as “Garrison-Morton”

15961 entries, 13944 authors and 1935 subjects. Updated: March 22, 2024

LESLIE, Patrick Holt

2 entries
  • 5087.1

The phases of Haemophilus pertussis.

J. Hyg. (Camb.), 31, 423-34, 1931.

Leslie and Gardner classified H. pertussis cultures into four types and established an experimental basis for the development of an effective vaccine.



Subjects: BACTERIOLOGY › BACTERIA (mostly pathogenic; sometimes indexed only to genus) › Gram-Negative Bacteria › Haemophilus, IMMUNOLOGY › Immunization, INFECTIOUS DISEASE › Whooping Cough
  • 9891

On the use of matrices in certain population mathematics.

Biometrika, 33, 213-245., 1945.

"... the Leslie matrix is a discreteage-structured model of population growth that is very popular in population ecology.... The Leslie matrix (also called the Leslie model) is one of the most well known ways to describe the growth of populations (and their projected age distribution), in which a population is closed to migration, growing in an unlimited environment, and where only one sex, usually the female, is considered.

"The Leslie matrix is used in ecology to model the changes in a population of organisms over a period of time. In a Leslie model, the population is divided into groups based on age classes. A similar model which replaces age classes with ontogenetic stages is called a Lefkovitch matrix,[1] whereby individuals can both remain in the same stage class or move on to the next one. At each time step, the population is represented by a vector with an element for each age class where each element indicates the number of individuals currently in that class" (Wikipedia article on Leslie Matrix, accessed 03-2018).



Subjects: BIOLOGY › Ecology / Environment, COMPUTING/MATHEMATICS in Medicine & Biology, DEMOGRAPHY / Population: Medical Statistics