Methods in Epidemiology: Population Size Estimation: Advances in Experimental Medicine and Biology, cartea 1333
Editat de George Rutherforden Limba Engleză Paperback – 4 aug 2022
This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups.
The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 1061.89 lei 6-8 săpt. | |
| Springer International Publishing – 4 aug 2022 | 1061.89 lei 6-8 săpt. | |
| Hardback (1) | 1069.93 lei 6-8 săpt. | |
| Springer International Publishing – 3 aug 2021 | 1069.93 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030754662
ISBN-10: 3030754669
Ilustrații: VII, 72 p. 3 illus., 1 illus. in color.
Dimensiuni: 178 x 254 mm
Greutate: 0.16 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Experimental Medicine and Biology
Locul publicării:Cham, Switzerland
ISBN-10: 3030754669
Ilustrații: VII, 72 p. 3 illus., 1 illus. in color.
Dimensiuni: 178 x 254 mm
Greutate: 0.16 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Experimental Medicine and Biology
Locul publicării:Cham, Switzerland
Cuprins
Review of size estimation methods.- Methods to estimate the average social network size.- Estimating the size of hidden groups.- Data smoothing, extrapolation, and triangulation.
Notă biografică
George W. Rutherford is the Salvatore Pablo Lucia Professor of Epidemiology, Preventive Medicine, Pediatrics and History at the University of California, San Francisco School of Medicine.
Textul de pe ultima copertă
This book describes the variety of direct and indirect population size estimation (PSE) methods available along with their strengths and weaknesses. Direct estimation methods, such as enumeration and mapping, involve contact with members of hard-to-reach groups. Indirect methods have practical appeal because they require no contact with members of hard-to-reach groups. One indirect method in particular, network scale-up (NSU), has several strengths over other PSE methods: It can be applied at a province/country level, it can estimate size of several hard-to-reach population in a single study, and it is implemented with members of the general population rather than members of hard-to-reach groups.
The book discusses methods to collect, analyze, and adjust results and presents methods to triangulate and finalize PSEs.
Caracteristici
Presents an essential question that needs to be answered in order to estimate the burden of disease in any population: What is the size of a hard-to-reach / unobserved populations at risk for a disease? Provides an overview of the different methods to estimate the size of hard-to-reach populations, with an extensive focus on the network scale-up method Introduces a network scale-up method which is a promising method to estimate the size of hard-to-reach populations at both the local and national levels and does not require direct contact with members of hard-to-reach populations, and is much more feasible than many others Features details on how to design, implement, analyze, triangulate results, and extrapolate findings to subnational and national levels using real-world examples of network scale-up projects Is full of real-world examples with appendices that include analysis code in R, Stata, and Excel