Cross correlation maps: A tool for visualizing and modeling time lagged associations

Vector-Borne and Zoonotic Diseases

Volumn 5, Issue 3, 2005, Pages 267-275

  Curriero, Frank C ^a   Shone, Scott M ^a   Glass, Gregory E ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Correlation; Mosquito; Poisson regression; Population dynamics

Indexed keywords

ANIMAL TRAPPING; ARTHROPOD; ARTICLE; CONTROLLED STUDY; ENVIRONMENTAL CHANGE; ENVIRONMENTAL TEMPERATURE; FEMALE; MALE; METEOROLOGY; MOSQUITO; NONHUMAN; OCHLEROTATUS; PARASITE VECTOR; POISSON DISTRIBUTION; POPULATION ABUNDANCE; POPULATION DYNAMICS; PRIORITY JOURNAL; TIME SERIES ANALYSIS;

ANIMALS; ARTHROPOD VECTORS; ARTHROPODS; CULICIDAE; ENVIRONMENT; FEMALE; MALE; MARYLAND; MODELS, BIOLOGICAL; POPULATION DYNAMICS; POPULATION SURVEILLANCE; REGRESSION ANALYSIS; SEASONS; TIME FACTORS; WEATHER;

ANIMALIA; ARTHROPODA;

EID: 27144537747     PISSN: 15303667     EISSN: None     Source Type: Journal    
DOI: 10.1089/vbz.2005.5.267     Document Type: Article

References (15)

1. Ailes, MC. Failure to predict abundance of saltmarsh mosquitoes Aedes sollicitans and A. taeniorhynchus (Diptera: Culicidae) by using variables of tide and weather. J Med Entomol 1998;35:200-204.
2. Akaike, H. Information theory and an extension of the maximum likelihood principle. In: Petrov, BN, Czaki, F, ed. Second International Symposium on Information Theory. Budapest: Akademiai Kiado; 1973:267-281.
3. Curtis, GA. Environmentally induced periodicities in citrus-grove mosquitoes. In: Lounibos, LP, Rey, JR, Frank, JH, eds. Ecology of Mosquitoes: Proceedings of a Workshop. Vero Beach, FL: Florida Medical Entomology Laboratory; 1985:211-222.
4. Diggle, PJ. Time Series: A Biostatistical Introduction, New York: Oxford, 1990.
5. Draper, NR, Smith, H. Applied Regression Analysis, 3rd ed. New York: Wiley, 1998.
6. Evans, HT, Moore, H, Steen, J, et al. Use of surveillance results for predicting the emergence of salt marsh mosquito broods. J Florida Anti-Mosquito Assoc 1987;58: 28-33.
7. Gleiser, RM, Gorla, DE, Schelotto, G. Population dynamics of Ades albifasciatus (Diptera: Culicidae) south of Mar Chiquita Lake, Central Argentina. J Med Entomol 2000; 37:21-26.
8. Hacker, CS, Scott, DW, Thompson, JR. Time series analysis of mosquito population data. J Med Entomol 1973a; 10:533-543.
9. Hacker, CS, Scott, DW, Thompson, JR. A forecasting model for mosquito population densities. J Med Entomol 1973b;10:544-551.
10. Maelzer, D, Zalucki, MP, Laughlin, R. Analysis and interpretation of long-term light trap data for Helicoverpa punctigera (Lepidoptera; Noctuidae) in Australia: population changes and forecasting pest pressure. Bull Entomol Res 1996;86:547-557.
11. Mbogo CM, Mwangangi, JM, Nzovu, J, et al. Spatial and temporal heterogeneity of Anopheles mosquitoes and Plasmodium falciparum transmission along the Kenyan coast. Am J Trop Med Hyg 2003;68:734-742.
12. McCullagh, P, Nelder, JA. Generalized Linear Models, 2nd ed. New York: Chapmann & Hall, 1989.
13. Moore, CG. 1985. Predicting Aedes aegypti abundance from climatologic data. In: Lounibos, LP, Rey, JR, Frank, JH, eds. Ecology of Mosquitoes: Proceedings of a Workshop. Vero Beach, FL: Florida Medical Entomology Laboratory; 1985:223-236.
14. Shone, SM. Environmental factors impacting mosquito population dynamics in the mid-Atlantic region [Doctoral dissertation]. Baltimore: Johns Hopkins University.
15. Takeda, T, Whitehouse, CA, Brewer, M, et al. Arbovirus surveillance in Rhode Island: assessing potential ecologic and climate correlates. J Am Mosquito Control Assoc 2003;19:179-189.