Etiology of interepidemic periods of mosquito-borne disease

Hay S.I., Myers M.F., Burke D.S., Vaughn D.W., Endy T., Ananda N., Shanks G.D., Snow R.W. and Rogers D.J. (2000) Etiology of interepidemic periods of mosquito-borne disease. Proceedings of the National Academy of Sciences of the United States of America, 97 16: 9335-9339. doi:10.1073/pnas.97.16.9335


Author Hay S.I.
Myers M.F.
Burke D.S.
Vaughn D.W.
Endy T.
Ananda N.
Shanks G.D.
Snow R.W.
Rogers D.J.
Title Etiology of interepidemic periods of mosquito-borne disease
Journal name Proceedings of the National Academy of Sciences of the United States of America   Check publisher's open access policy
ISSN 0027-8424
Publication date 2000-08-01
Year available 2000
Sub-type Article (original research)
DOI 10.1073/pnas.97.16.9335
Open Access Status Not yet assessed
Volume 97
Issue 16
Start page 9335
End page 9339
Total pages 5
Place of publication WASHINGTON
Publisher NATL ACAD SCIENCES
Language eng
Subject 1311 Genetics
1000 General
Abstract Dengue viruses and malaria protozoa are of increasing global concern in public health. The diseases caused by these pathogens often show regular seasonal patterns in incidence because of the sensitivity of their mosquito vectors to climate. Between years in endemic areas, however, there can be further significant variation in case numbers for which public health systems are generally unprepared. There is an acute need for reliable predictions of within-year and between-year epidemic events. The prerequisite for developing any system of early warning is a detailed understanding of the factors involved in epidemic genesis. In this report we discuss the potential causes of the interepidemic periods in dengue hemorrhagic fever in Bangkok and of Plasmodium falciparum malaria in a highland area of western Kenya. The alternative causes are distinguished by a retrospective analysis of two unique and contemporaneous 33-year time series of epidemiological and associated meteorological data recorded at these two sites. We conclude that intrinsic population dynamics offer the most parsimonious explanation for the observed interepidemic periods of disease in these locations.
Keyword Multidisciplinary Sciences
Science & Technology - Other Topics
MULTIDISCIPLINARY SCIENCES
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID 056642
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
 
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Scopus Citation Count Cited 151 times in Scopus Article | Citations
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