» Articles » PMID: 14525619

Spatial Variation of Anopheles-transmitted Wuchereria Bancrofti and Plasmodium Falciparum Infection Densities in Papua New Guinea

Overview
Journal Filaria J
Publisher Biomed Central
Date 2003 Oct 4
PMID 14525619
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

The spatial variation of Wuchereria bancrofti and Plasmodium falciparum infection densities was measured in a rural area of Papua New Guinea where they share anopheline vectors. The spatial correlation of W. bancrofti was found to reduce by half over an estimated distance of 1.7 km, much smaller than the 50 km grid used by the World Health Organization rapid mapping method. For P. falciparum, negligible spatial correlation was found. After mass treatment with anti-filarial drugs, there was negligible correlation between the changes in the densities of the two parasites.

Citing Articles

Lymphatic filariasis endgame strategies: Using GEOFIL to model mass drug administration and targeted surveillance and treatment strategies in American Samoa.

Shaw C, McLure A, Graves P, Lau C, Glass K PLoS Negl Trop Dis. 2023; 17(5):e0011347.

PMID: 37200375 PMC: 10231811. DOI: 10.1371/journal.pntd.0011347.


Spatial spillover analysis of a cluster-randomized trial against dengue vectors in Trujillo, Venezuela.

Alexander N, Lenhart A, Anaya-Izquierdo K PLoS Negl Trop Dis. 2020; 14(9):e0008576.

PMID: 32881865 PMC: 7494074. DOI: 10.1371/journal.pntd.0008576.


Spatial analysis of cluster randomised trials: a systematic review of analysis methods.

Jarvis C, Di Tanna G, Lewis D, Alexander N, Edmunds W Emerg Themes Epidemiol. 2017; 14:12.

PMID: 28947911 PMC: 5609008. DOI: 10.1186/s12982-017-0066-2.


Detecting infection hotspots: Modeling the surveillance challenge for elimination of lymphatic filariasis.

Harris J, Wiegand R PLoS Negl Trop Dis. 2017; 11(5):e0005610.

PMID: 28542274 PMC: 5453617. DOI: 10.1371/journal.pntd.0005610.


Bayesian geostatistical modelling of malaria and lymphatic filariasis infections in Uganda: predictors of risk and geographical patterns of co-endemicity.

Stensgaard A, Vounatsou P, Onapa A, Simonsen P, Pedersen E, Rahbek C Malar J. 2011; 10:298.

PMID: 21989409 PMC: 3216645. DOI: 10.1186/1475-2875-10-298.


References
1.
Gyapong J, Remme J . The use of grid sampling methodology for rapid assessment of the distribution of bancroftian filariasis. Trans R Soc Trop Med Hyg. 2002; 95(6):681-6. DOI: 10.1016/s0035-9203(01)90115-4. View

2.
Thompson R, Begtrup K, Cuamba N, Dgedge M, Mendis C, Enosse S . The Matola malaria project: a temporal and spatial study of malaria transmission and disease in a suburban area of Maputo, Mozambique. Am J Trop Med Hyg. 1997; 57(5):550-9. DOI: 10.4269/ajtmh.1997.57.550. View

3.
Snow R, CRAIG M, Deichmann U, Le Sueur D . A preliminary continental risk map for malaria mortality among African children. Parasitol Today. 1999; 15(3):99-104. DOI: 10.1016/s0169-4758(99)01395-2. View

4.
Cattani J, Moir J, GIBSON F, Ginny M, Paino J, Davidson W . Small-area variations in the epidemiology of malaria in Madang Province. P N G Med J. 1986; 29(1):11-7. View

5.
Alexander N, Grenfell B . The effect of pregnancy on Wuchereria bancrofti microfilarial load in humans. Parasitology. 1999; 119 ( Pt 2):151-6. DOI: 10.1017/s0031182099004527. View