A study of the environmental determinants of malaria and schistosomiasis in the Philippines using Remote Sensing and Geographic Information Systems

Parassitologia

Volumn 47, Issue 1, 2005, Pages 105-114

  Leonardo, Lydia R ^a   Rivera, P T ^a   Crisostomo, B A ^b   Sarol, J N ^a   Bantayan, N C ^c   Tiu, W U ^a   Bergquist, N R ^d  

^a UNIVERSITY OF THE PHILIPPINES MANILA   (Philippines)

^b National Mapping and Resource Information Authority   (Philippines)

^c UNIVERSITY OF THE PHILIPPINES LOS BAÑOS   (Philippines)

^d Ingerod ^*  (Sweden)

Author keywords

Epidemiology; Geographic Information System; Malaria; Remote Sensing; Schistosomiasis

Indexed keywords

ANOPHELES (GENUS); GASTROPODA; ONCOMELANIA;

AGRICULTURE; ANIMAL; ANOPHELES; ARTICLE; CLIMATE; DISEASE CARRIER; DISEASE TRANSMISSION; ECOSYSTEM; ENDEMIC DISEASE; ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INSTRUMENTATION; MALARIA; METHODOLOGY; PARASITOLOGY; PHILIPPINES; PLANT; PREVALENCE; SCHISTOSOMIASIS; SNAIL; SOIL; TELECOMMUNICATION; TOPOGRAPHY; WATER SUPPLY;

AGRICULTURE; ANIMALS; ANOPHELES; CLIMATE; DISEASE VECTORS; ECOSYSTEM; ENDEMIC DISEASES; ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; MALARIA; PHILIPPINES; PLANTS; PREVALENCE; SATELLITE COMMUNICATIONS; SCHISTOSOMIASIS; SNAILS; SOIL; TOPOGRAPHY, MEDICAL; WATER SUPPLY;

EID: 24944450781     PISSN: 00482951     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. Annual Report of the Schistosomiasis Control Service (1994). Department of Health, Philippines.
2. Bergquist NR (2001). Vector-borne parasitic diseases: new trends in data collection and risk assessment. Acta Trop 79: 13-20.
3. Breman JG, Alilio MS, Mills A (2004). Conquering the intolerable burden of malaria: What's new, what's needed: a summary. Am J Trop Med Hyg 71(Suppl 2): 1-15.
4. Brooker S, Rowlands M, Haller L, Savioli L, Bundy DAP (2000). Towards an atlas of human helminth infections in Sub-Saharan Africa: the use of Geographic Information Systems. Parasitol Today 16 (7): 303-307.
5. Carter RK, Bendis KN, Roberts D (2000). Spatial targeting of interventions in malaria. Bull WHO 78: 1401-1411.
6. Climatology and Agrometeorology Branch, Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA).
7. Cross ER and RC Bailey (1984). Prediction of areas endemic for schistosomiasis through use of discriminant analysis of environmental data. Military Medicine 149: 28-30.
8. Cross ER and Perrine R (1984). Predicting areas endemic for schistosomiasis using weather variables and a Landsat data base. Military Medicine 149: 542-544.
9. Hay SI, Omumbo JA, Craig MH, Snow RW (2000). Earth observation, Geographic Information Systems and Plasmodium falciparum malaria in Sub-Saharan Africa. Adv Parasitol 47: 174-215.
10. Katz N, Chaves A, Pellegrino J (1972). A simple device for quantitative stool thick smear technique in schistosomiasis mansoni. Rev Inst Trop Sao Paolo 14: 397-400.
11. King CH, Dickman K, Tisch DJ (2005). Re-gauging the cost of chronic helminthic infection: Meta-analysis of disability-related outcomes in endemic schistosomiasis. Lancet (in press).
12. Malone JB, Bergquist NR, Huh OK, Bavia ME, Bernardi M, El Bahy MM, Fuentes MV, Kristensen TR, McCarroll JC, Yilma JM, Zhou XN (2001). A global network for the control of snail-borne disease using satellite surveillance and geographic information systems. Acta Trop 79: 7-12.
13. Malone JB, Yilma JM, McCarroll JC, Erko B, Mukaratireva S, Zhou XN (2001). Satellite climatology and environmental risk of Schistosoma mansoni in Ethiopia and East Africa. Acta Trop 79: 59-72.
14. Murray CJL and Lopez AD eds (1996). The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. Vols. 1-2. Harvard School of Public Health on behalf of the World Health Organization and the World Bank, Cambridge, MA, USA.
15. Prus A, Kay D, Fewtrell L, Bartram J (2002). Estimating the burden of disease from water, sanitation, and hygiene at a global level. Environ Health Perspect 110: 537-542.
16. Singer BH, de Castro MC (2001). Agricultural colonization and malaria on Amazon frontier. Annals New York Acad Sci 954: 184-222.
17. Thompson MC, Connor SJ, Alessandro UD, Rowlingson B, Diggle P, Cresswell M, Greenwood B (1999). Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. Am J Trop Med and Hyg 61: 2-8.
18. Tongol-Rivera P, Kano S, Miguel E, Tongol P, Suzuki M (1993). Application of seroepidemiology in identification of local foci in a malarious community in Palawan, The Philippines. Am J Trop Med Hyg 49(5): 608-612.
19. Van der Werf MJ, de Vla SJ, Brooker S, Looman CW, Nagelkerke NJ, Habbema JD, Engels D (2003). Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa. Acta Trop 86: 125-139.
20. WHO (2002). Prevention and Control of Schistosomiasis and Soil-transmitted Helminthiasis. First Report of the Joint Expert Committees. WHO Tech Rep Ser 912: 57 pp.
21. World Health Report (2004). WHO, Geneva, Switzerland.
22. Wickremasinghe AR, Gunawardena DM, Mahawithanage STC (2002). Use of routinely collected past surveillance data in identifying and mapping high risk areas in a malaria endemic area of Sri Lanka. Southeast Asian J Trop Med Public Health 33 (4): 678-684.