Estimating the growth rate of infection during the early phase of a pandemic like COVID-19.
Spat Stat
; 49: 100537, 2022 Jun.
Article
in English
| MEDLINE | ID: covidwho-1386627
ABSTRACT
At the very outbreak of a pandemic, it is very important to be able to assess the spreading rate of the disease i.e., the rate of increase of infected people in a specific locality. Combating the pandemic situation critically depends on an early and correct prediction of, to what extent the disease may possibly grow within a short period of time. This paper attempts to estimate the spreading rate by counting the total number of infected persons at times. Adaptive clustering is especially suitable for forming clusters of infected persons distributed spatially in a locality and successive sampling is used to measure the growth in number of infected persons. We have formulated a 'chain ratio to regression type estimator of population total' in two occasions adaptive cluster successive sampling and studied the properties of the estimator. The efficacy of the proposed strategy is demonstrated through simulation technique as well as real life population which is followed by suitable recommendation.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Prognostic study
Language:
English
Journal:
Spat Stat
Year:
2022
Document Type:
Article
Affiliation country:
J.spasta.2021.100537
Similar
MEDLINE
...
LILACS
LIS