Spatio-temporal surveillance of water based infectious disease (malaria) in Rawalpindi, Pakistan using geostatistical modeling techniques

Environmental Monitoring and Assessment

Volumn 187, Issue 9, 2015, Pages

  Ahmad, Sheikh Saeed ^a   Aziz, Neelam ^a   Butt, Amna ^a   Shabbir, Rabia ^a   Erum, Summra ^a  

^a FATIMA JINNAH WOMEN UNIVERSITY   (Pakistan)

Author keywords

Epidemiological studies; Geostatistical modeling; Global Moran s I test statistics; Hotspots; Land use classification; Ordinary least square (OLS) regression analysis

Indexed keywords

BALLOONS; DISEASES; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE CLASSIFICATION; LAND USE; REGRESSION ANALYSIS; RISK ASSESSMENT; SEWAGE; STATISTICAL METHODS; STATISTICAL TESTS; STATISTICS; WATER SUPPLY;

EPIDEMIOLOGICAL STUDIES; GEOSTATISTICAL MODELING; HOTSPOTS; LANDUSE CLASSIFICATIONS; ORDINARY LEAST SQUARES; TEST STATISTICS;

SPATIAL VARIABLES MEASUREMENT;

RAIN; WATER;

EPIDEMIOLOGY; GEOSTATISTICS; HEALTH RISK; HOT SPOT; LAND USE CHANGE; LEAST SQUARES METHOD; MALARIA; REGRESSION ANALYSIS; RISK FACTOR; SPATIAL DISTRIBUTION; SPATIOTEMPORAL ANALYSIS;

ARTICLE; CONTROLLED STUDY; DISEASE SURVEILLANCE; GEOGRAPHIC DISTRIBUTION; GEOSTATISTICAL ANALYSIS; HUMAN; INCIDENCE; LAND USE; MALARIA; MICROBIAL CONTAMINATION; PAKISTAN; REGRESSION ANALYSIS; RISK FACTOR; SEWAGE; SOLID WASTE MANAGEMENT; SPATIAL AUTOCORRELATION ANALYSIS; TEMPERATURE MEASUREMENT; CLUSTER ANALYSIS; ENVIRONMENTAL MONITORING; EPIDEMIC; GEOGRAPHY; LEAST SQUARE ANALYSIS; METEOROLOGY; MICROBIOLOGY; PARASITOLOGY; PROCEDURES; RURAL POPULATION; SATELLITE IMAGERY; SPATIAL ANALYSIS; TEMPERATURE; TIME FACTOR; TRANSMISSION; WATER SUPPLY;

PAKISTAN; PUNJAB [PAKISTAN]; RAWALPINDI;

CLUSTER ANALYSIS; DISEASE OUTBREAKS; ENVIRONMENTAL MONITORING; GEOGRAPHY; HUMANS; INCIDENCE; LEAST-SQUARES ANALYSIS; MALARIA; METEOROLOGY; PAKISTAN; REGRESSION ANALYSIS; RISK FACTORS; RURAL POPULATION; SATELLITE IMAGERY; SPATIAL ANALYSIS; TEMPERATURE; TIME FACTORS; WATER; WATER MICROBIOLOGY; WATER SUPPLY;

EID: 84938901921     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-015-4779-9     Document Type: Article

References (64)

1. Abellana, R., Carlos, A., John, A., Francisco, S., Delino, N., & Ariel, N. (2008). Spatio-seasonal modeling of the incidence rate of malaria in Mozambique. Malaria Journal, 7, 228–238.
2. Ali, H., Neal, A., & Jonathan, C. (2008). Modeling of malaria temporal variations in Iran. Tropical Medicine and International Health, 13(12), 1501–1508.
3. Autino, B., Noris, A., Russo, R., & Castelli, F. (2012). Epidemiology of malaria in endemic areas. Mediterranean Journal of Hematology and Infectious Diseases, 4(1), 201–206.
4. Baragatti, M., Fournet, F., Henry, M. C., Assi, S., Ouedraogo, H., Rogier, C., & Salem, G. (2009). Social and environmental malaria risk factors in urban areas of Ouagadougou, Burkina Faso. Malaria Journal, 8, 13–26.
5. Boots, B. N., & Getis, A. (1998). Point pattern analysis Newbury Park. Newbury Park, CA, USA:Sage Publications.
6. Chaikaew, N., Tripathi, N. K., & Souris, M. (2009). Exploring spatial patterns and hotspots of diarrhea in Chiang Mai, Thailand. International Journal of Health Geography, 8, 1–20.
7. Cohen, M. L. (2000). Changing patterns of infectious disease. Nature, 406, 762–767.
8. Cummings, D. A. T., Irizarry, R. A., Huang, N. E., Endy, T. P., Nisalak, A., Ungchusak, K., & Burke, D. S. (2004). Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand. Nature, 427, 344–347.
9. Dahal, S. (2008). Climatic determinants of malaria and kala-azar in Nepal. Regional Health Forum, 12(1), 32–38.
10. Detinova, T. S. (1962). Determination of the epidemiological importance of populations of Anopheles maculipennis by their age composition. In:Age-grouping methods in diptera of medical importance, with special reference to some vectors of malaria. World Health Organization, Geneva.
11. Dogru, A.O., Ulugtekin, N.N., & Alkoy, S. (2007). GIS Applications on Epidemiology with Cartographic Perspective in Turkey. 23rd International Cartographic Conference [4-10 August 2007, Moscow, Russia].
12. Ebdon, D. (1991). Statistic in geography: A practical approach (2nd ed.,). Malden, MA, USA:Blackwell Publishing.
13. Eisen, L., & Lozano-Fuentes, S. (2009). Use of mapping and spatial and space-time modeling approaches in operacional control of Aedes aegypti and dengue. PLoS Neglected Tropical Diseases, 3, 1–7.
14. Ernst, K. C., Adoka, S. O., Kowuor, D. O., Wilson, M. L., & John, C. C. (2006). Malaria hotspot areas in a highland Kenya site are consistent in epidemic and non-epidemic years and are associated with ecological factors. Malaria Journal, 5, 78–88.
15. Fang, L., Yan, L., Liang, S., Vlas, S. J. D., Feng, D., Han, X., Zhao, W., Xu, B., Bian, L., Yang, H., Gong, P., Richardus, J. H., & Cao, W. (2006). Spatial analysis of hemorrhagic fever with renal syndrome in China. BMC Infectious Diseases, 6, 77–88.
16. Fawell, J., & Nieuwenhuijsen, M. J. (2003). Contaminants in drinking water. British Medical Bulletin, 68, 199–208.
17. Fenwick, A. (2006). Waterborne infectious diseases—could they be consigned to history. Science, 313, 1077–1081.
18. Fleury, M., Charron, D. F., Holt, J. D., Allen, O. B., & Maarouf, A. R. (2006). A time series analysis of the relationship of ambient temperature and common bacterial enteric infections in two Canadian provinces. International Journal of Biometeorology, 50, 385–391.
19. Government of Pakistan (GoP). (2010). Three years rolling health plan 2010–2013: District Rawalpindi.
20. Government of Pakistan (GoP). (2011). Pakistan Social and Living Standards Measurements (PSLM) Survey 2010-11.
21. Graves, P. M., Richards, F. O., Ngondi, J., Emerson, P. M., Shargie, E. M., Endeshaw, T., Ceccato, P., Ejigsemahu, Y., Mosher, A. W., Hailemariam, A., Zerihun, M., Teferi, T., Ayele, B., Mesele, A., Yohannes, G., Tilahun, A., & Gebre, T. (2009). Individual, household and environmental risk factors for malaria infection in Amhara, Oromia and SNNP regions of Ethiopia. Transactions of the Royal Society of Tropical Medicine and Hygiene, 103(12), 1211–1220.
22. Grillet, M., Roberto, B., & Marie, J. (2010). Disentangling the effect of local and global spatial variation on a mosquito-borne infection in a neotropical heterogeneous environment. American Journal of Tropical Medicine and Hygiene, 82(2), 194–201.
23. Hakre, S., Masuoka, P., Vanzie, E., & Roberts, D. R. (2004). Spatial correlations of mapped malaria rates with environmental factors in Belize, Central America. International Journal of Health Geography, 3, 6–17.
24. Hall, G. V., D’Souza, R. M., & Kirk, M. D. (2002). Foodborne disease in the new millennium: out of the frying pan and into the fire. Medical Journal of Australia, 177, 614–618.
25. Hashizume, M., Armstrong, B., Hajat, S., Wagatsuma, Y., Faruque, A. S. G., Hayashi, T., & Sack, D. A. (2007). Association between climate variability and hospital visits for non-cholera diarrhea in Bangladesh: effects and vulnerable groups. International Journal of Epidemiology, 36, 1030–1037.
26. Hashizume, M., Armstrong, B., Wagatsuma, Y., Faruque, A. S. G., Hayashi, T., & Sack, D. A. (2008). Rotavirus infections and climate variability in Dhaka, Bangladesh: a time-series analysis. Epidemiology and Infection, 136, 1281–1289.
27. Hay, S. I., Okiro, E. A., Gething, P. W., Patil, P. A., Tatem, A. J., Guerra, C. A., & Snow, R. W. (2010). Estimating the global clinical burden of Plasmodium falciparum malaria in 2007. PLoS Med, 7(6).
28. Hoge, C. W., Shlim, D. R., Rajah, R. T., Shear, M., Rabold, J. G., & Echeverria, P. (1993). Epidemiology of diarrheal illness associated with coccidian-like organism among travellers and foreign residents in Nepal. Lancet, 341, 1175–1179.
29. Hutcheson, G. D. (2011). Ordinary least-squares regression. in L. Moutinho & G. D. Hutcheson, The SAGE Dictionary of Quantitative Management Research.
30. Ingrid, P., Luisa, N., Wafaa, E., & Awash, T. (2009). A temporal-spatial analysis of malaria transmission in Adama, Ethiopia. The American Journal of Tropical Medicine and Hygiene, 86(6), 944–949.
31. IPCC Working Group. (2008). Climate Change and Water, “Technical Paper (VI) of the Intergovernmental Panel on Climate Change,” Technical Paper of the Intergovernmental Panel on Climate Change. Geneva: IPCC Secretariat.
32. Jepson, W. F., Moutia, A., & Courtois, C. (1947). The malaria problem in Mauritius: the bionomics of Mauritian anophelines. Bulletin of Entomological Research, 38, 177–208.
33. Jones, K. E., Patel, G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008). Global trends in emerging infectious diseases. Nature, 451, 990–993.
34. Kan, C. C., Lee, P. F., Wen, T. H., Chao, D. Y., Wu, M. H., Lin, N. H., Huang, S., Shang, C. S., Fan, I. C., Shu, P. Y., Huang, J. H., King, C. C., & Pai, L. (2008). Two clustering diffusion patterns identified from the 2001-2003 dengue epidemic, Kaohsiung, Taiwan. American Journal of Tropical Medicine and Hygiene, 79, 344–352.
35. Kazembe, L. N. (2007). Spatial modelling and risk factors of malaria incidence in northern Malawi. Acta Tropica, 102(2), 126–137.
36. Kazembe, L., Immo, K., Timothy, H., & Brian, L. (2006a). Spatial analysis and mapping of malaria risk in Malawi using point-referenced prevalence of infection data. International Journal of Health Geography, 5, 41–50.
37. Kazembe, L. N., Kleinschmidt, I., Holtz, T. H., & Sharp, B. L. (2006b). Spatial analysis and mapping of malaria risk in Malawi using point-referenced prevalence of infection data. International Journal of Health Geography, 5, 41–50.
38. Kosek, M., Bern, C., & Guerrant, R. L. (2003). The global burden of diarrheal disease, as estimated from studies published between 1992 and 2000. Bulletin of World Health Organization, 81, 197–204.
39. Lewin, S., Norman, R., Nannan, N., Thomas, E., & Bradshaw, D. (2007). Estimating the burden of disease attributable to unsafe water and lack of sanitation and hygiene in South Africa in 2000. South African Medical Journal, 97, 755–762.
40. Madico, G., McDonald, J., Gilman, R. H., Cabrera, L., & Sterling, C. R. (1997). Epidemiology and treatment of Cyclospora cayetanensis infection in Peruvian children. Clinical Infectious Diseases, 24, 977–981.
41. Martens, W. J. M., Niessen, L. W., Rotmans, J., Jetten, T. H., & McMichael, A. J. (1995). Potential impact of global climate change on malaria risk. Environmental Health Perspective, 103, 458–464.
42. McMichael, A. J., Haines, A., Slooff, R., & Kovats, S. (1996). Climate change and human health: an assessment prepared by a task group on behalf of the World Health Organization, the World Meteorological Organization and the United Nations Environment Programme. Geneva:World Health Organization.
43. McMichael, A. J., & Martens, W. J. M. (1995). The health impacts of global climate change: grappling with scenarios, predictive models and multiple uncertainties. Ecosystem Health, 1, 23–33.
44. Mitchell, R. (2009). Environmental microbiology (2nd ed.,). New York, USA:John Wiley and Sons.
45. Moffett, A., Shackelford, N., & Sarkar, S. (2007). Malaria in Africa: vector species niche models and relative risk maps. PloS One, 2(9), 8–24.
46. Morens, D. M., Folkers, G. K., & Fauci, A. S. (2004). The challenge of emerging and reemerging infectious diseases. Nature, 430, 242–249.
47. Murray, C. J., & Lopez, A. D. (1997). Mortality by cause for eight regions of the world: global burden of disease study. Lancet, 349, 1269–1276.
48. Omumbo, J. A., Hay, S. I., Snow, R. W., Tatem, A. J., & Rogers, D. J. (2005). Modeling malaria risk in East Africa at high-spatial resolution. Tropical Medicine and International Health, 10(6), 557–566.
49. Pakistan Initiative for Mothers and Newborns (PAIMAN). (2005). District Health Profile: Rawalpindi.
50. Prescott, L., Harley, J., & Klein, D. (1996). Microbiology (3rd edition) Dubuque. Iowa, USA:William C. Brown Publishers.
51. Pruss, A., Kay, D., Fewtrell, L., & Bartram, J. (2002). Estimating the burden of disease from water, sanitation, and hygiene at a global level. Environmental Health Perspective, 110, 537–542.
52. Satoshi, S., Suzuki, S., Igarashi, K., Tambatamba, B., & Mulenga, P. (2008). Spatial analysis of risk factor of cholera outbreak for 2003–2004 in a peri-urban area of Lusaka, Zambia. The American Society of Tropical Medicine and Hygiene, 79(3), 414–421.
53. Schijven, J. F., & Husman, A. M. D. (2005). Effect of climate changes on waterborne disease in The Netherlands. Water Science and Technology, 51, 79–87.
54. Si, Y. L., Debba, P., Skidmore, A. K., Toxopeus, A. G., & Li, L. (2008). Spatial and temporal patterns of global H5N1 outbreaks. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1117, 69–74.
55. Skerrett, H. E., & Holland, C. V. (2000). The occurrence of Cryptosporidium in environmental waters in the greater Dublin area. Water Research, 34, 3755–3760.
56. Srivastava, A., Nagpal, B. N., Joshi, P. L., & Dash, A. P. (2009). Identification of malaria hot spots for focused intervention in tribal state of India: a GIS based approach. International Journal of Health Geography, 8, 1–8.
57. Small, J., Goetz, S. J., & Hay, S. I. (2003). Climatic suitability for malaria transmission in Africa, 1911-1995. Proceedings of the National Academy of Sciences. Applied Biological Sciences, 100(26), 15341–15346.
58. Takasawa, H. (2006). Consultation on waterborne disease surveillance. Budapest, Hungary:WHO Publisher.
59. Tanser, F. C., Sharp, B., & Le Sueur, D. (2003). Potential effect of climate change on malaria transmission in Africa. The Lancet, 362, 1792–1798.
60. United States Agency for International Development (USAID) and Pakistan Initiative for Mothers and Newborns (PAIMAN). (2005). District health profile: Rawalpindi.
61. World malaria report. (2011). http://www.who.int/malaria/world_malaria_report_2011/9789241564403_eng.pdf. Accessed 29 June 2014.
62. Xiao, D., Long, Y., Wang, S., Fang, L., Xu, D., Wang, G., Li, L., Cao, W., & Yan, Y. (2010). Spatiotemporal distribution of malaria and the association between its epidemic and climatic factors in Hainan, China. Malaria Journal, 9, 185–195.
63. Yeshiwondim, A. K., Gopal, S., Hailemariam, A. T., Dengela, D. O., & Patel, H. P. (2009). Spatial analysis of malaria incidence at the village level in areas with unstable transmission in Ethiopia. International Journal of Health Geography, 8(5), 1–11.
64. Zhong, S., Xue, Y., Cao, C., Cao, W., Li, X., Guo, J., & Fang, L. (2005). The application of space/time analysis of GIS in spatial epidemiology: a case study of hepatitis S in China using GIS. IEEE, 8, 1612–1615.