Remotely sensed environmental conditions and malaria mortality in three malaria endemic regions in western kenya

PLoS ONE

Volumn 11, Issue 4, 2016, Pages

  Sewe, Maquins Odhiambo ^a,b   Ahlm, Clas ^b   Rocklöv, Joacim ^b  

^a KENYA MEDICAL RESEARCH INSTITUTE   (Kenya)

^b UMEÅ UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; ENDEMIC DISEASE; ENVIRONMENTAL PARAMETERS; KENYA; LAND SURFACE TEMPERATURE; MALARIA; MORTALITY; MORTALITY RISK; NORMALIZED DIFFERENCE VEGETATION INDEX; PRECIPITATION; REMOTE SENSING; RISK ASSESSMENT; RISK FACTOR; SEASONAL VARIATION; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; TRANSMISSION; WEATHER;

RAIN;

COMPUTER SIMULATION; HUMANS; KENYA; MALARIA; MODELS, BIOLOGICAL; RAIN; RISK FACTORS; WEATHER;

EID: 84977597458     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0154204     Document Type: Article

References (47)

1. WHO. World Malaria Report 2013.
2. Desai M, Buff AM, Khagayi S, Byass P, Amek N, van Eijk A, et al. Age-Specific Malaria Mortality Rates in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya, 2003-2010. PloS one. 2014; 9(9):e106197. Epub 2014/09/03. doi: 10.1371/journal.pone.0106197 PMID: 25180495; PubMed Central PMCID: PMCPmc4152016.
3. Amek NO, Odhiambo FO, Khagayi S, Moige H, Orwa G, Hamel MJ, et al. Childhood cause-specific mortality in rural Western Kenya: application of the InterVA-4 model. Global health action. 2014; 7:25581. Epub 2014/11/08. doi: 10.3402/gha.v7.25581 PMID: 25377340; PubMed Central PMCID: PMCPmc4221497.
4. Ehlkes L, Krefis AC, Kreuels B, Krumkamp R, Adjei O, Ayim-Akonor M, et al. Geographically weighted regression of land cover determinants of Plasmodium falciparum transmission in the Ashanti Region of Ghana. International journal of health geographics. 2014; 13(1):35. Epub 2014/10/02. doi: 10.1186/ 1476-072x-13-35 PMID: 25270342.
5. Krefis AC, Schwarz NG, Nkrumah B, Acquah S, Loag W, Oldeland J, et al. Spatial analysis of land cover determinants of malaria incidence in the Ashanti Region, Ghana. PloS one. 2011; 6(3):e17905. Epub 2011/03/31. doi: 10.1371/journal.pone.0017905 PMID: 21448277; PubMed Central PMCID: PMCPmc3063166.
6. McCann RS, Messina JP, MacFarlane DW, Bayoh MN, Vulule JM, Gimnig JE, et al. Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures. International journal of health geographics. 2014; 13:17. Epub 2014/06/07. doi: 10.1186/1476-072x-13-17 PMID: 24903736; PubMed Central PMCID: PMCPmc4070353.
7. Cohen JM, Ernst KC, Lindblade KA, Vulule JM, John CC, Wilson ML. Local topographic wetness indices predict household malaria risk better than land-use and land-cover in the western Kenya highlands. Malaria journal. 2010; 9:328. Epub 2010/11/18. doi: 10.1186/1475-2875-9-328 PMID: 21080943; PubMed Central PMCID: PMCPmc2993734.
8. Mutuku FM, Bayoh MN, Hightower AW, Vulule JM, Gimnig JE, Mueke JM, et al. A supervised land cover classification of a western Kenya lowland endemic for human malaria: associations of land cover with larval Anopheles habitats. International journal of health geographics. 2009; 8:19. Epub 2009/04/18. doi: 10.1186/1476-072x-8-19 PMID: 19371425; PubMed Central PMCID: PMCPmc2676261.
9. Craig MH, Snow RW, le Sueur D. A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitology today (Personal ed). 1999; 15(3):105-11. Epub 1999/05/14. PMID: 10322323.
10. Snow RW, Gouws E, Omumbo J, Rapuoda B, Craig MH, Tanser FC, et al. Models to predict the intensity of Plasmodium falciparum transmission: applications to the burden of disease in Kenya. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1998; 92(6):601-6. Epub 1999/ 05/18. PMID: 10326100.
11. Sewe M, Rocklov J, Williamson J, Hamel M, Nyaguara A, Odhiambo F, et al. The Association of Weather Variability and Under Five Malaria Mortality in KEMRI/CDC HDSS in Western Kenya 2003 to 2008: A Time Series Analysis. International journal of environmental research and public health. 2015; 12(2):1983-97. doi: 10.3390/ijerph120201983 PMID: 25674784.
12. Connor SJ, Ceccato P, Dinku T, Omumbo J, Grover-Kopec EK, Thomson MC. Using climate information for improved health in Africa: relevance, constraints and opportunities. Geospatial health. 2006; 1 (1):17-31. Epub 2008/08/08. PMID: 18686230.
13. Brown ME, Grace K, Shively G, Johnson KB, Carroll M. Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change. Population and environment. 2014; 36:48-72. Epub 2014/08/19. doi: 10.1007/s11111-013-0201-0 PMID: 25132700; PubMed Central PMCID: PMCPmc4131131.
14. Ceccato P, Connor SJ, Jeanne I, Thomson MC. Application of Geographical Information Systems and Remote Sensing technologies for assessing and monitoring malaria risk. Parassitologia. 2005; 47 (1):81-96. Epub 2005/07/28. PMID: 16044677.
15. Kalluri S, Gilruth P, Rogers D, Szczur M. Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review. PLoS pathogens. 2007; 3(10):1361-71. Epub 2007/10/31. doi: 10.1371/journal.ppat.0030116 PMID: 17967056; PubMed Central PMCID: PMCPmc2042005.
16. Thomson MC, Connor SJ, Milligan P, Flasse SP. Mapping malaria risk in Africa: What can satellite data contribute? Parasitology today (Personal ed). 1997; 13(8):313-8. Epub 1997/08/01. PMID: 15275058.
17. Omumbo JA, Hay SI, Goetz SJ, Snow RW, Rogers DJ. Updating Historical Maps of Malaria Transmission Intensity in East Africa Using Remote Sensing. Photogrammetric engineering and remote sensing. 2002; 68(2):161-6. Epub 2002/02/01. PMID: 23814324; PubMed Central PMCID: PMCPmc3694357.
18. Omumbo JA, Hay SI, Snow RW, Tatem AJ, Rogers DJ. Modelling malaria risk in East Africa at highspatial resolution. Tropical medicine & international health: TM & IH. 2005; 10(6):557-66. Epub 2005/ 06/09. doi: 10.1111/j.1365-3156.2005.01424.x PMID: 15941419; PubMed Central PMCID: PMCPmc3191364.
19. Clennon JA, Kamanga A, Musapa M, Shiff C, Glass GE. Identifying malaria vector breeding habitats with remote sensing data and terrain-based landscape indices in Zambia. International journal of health geographics. 2010; 9:58. Epub 2010/11/06. doi: 10.1186/1476-072x-9-58 PMID: 21050496; PubMed Central PMCID: PMCPmc2993656.
20. Hay SI, Snow RW, Rogers DJ. From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. Parasitology today (Personal ed). 1998; 14(8):306-13. Epub 2006/10/17. PMID: 17040796.
21. Kelly-Hope LA, Hemingway J, McKenzie FE. Environmental factors associated with the malaria vectors Anopheles gambiae and Anopheles funestus in Kenya. Malaria journal. 2009; 8:268. Epub 2009/11/28. doi: 10.1186/1475-2875-8-268 PMID: 19941637; PubMed Central PMCID: PMCPmc2793260.
22. Odhiambo FO, Laserson KF, Sewe M, Hamel MJ, Feikin DR, Adazu K, et al. Profile: the KEMRI/CDC Health and Demographic Surveillance System-Western Kenya. International journal of epidemiology. 2012; 41(4):977-87. Epub 2012/08/31. doi: 10.1093/ije/dys108 PMID: 22933646.
23. Adazu K, Lindblade KA, Rosen DH, Odhiambo F, Ofware P, Kwach J, et al. Health and demographic surveillance in rural western Kenya: a platform for evaluating interventions to reduce morbidity and mortality from infectious diseases. The American journal of tropical medicine and hygiene. 2005; 73 (6):1151-8. Epub 2005/12/16. PMID: 16354829.
24. Byass P, Chandramohan D, Clark SJ, D'Ambruoso L, Fottrell E, Graham WJ, et al. Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool. Global health action. 2012; 5:1-8. Epub 2012/09/05. doi: 10.3402/gha.v5i0.19281 PMID: 22944365; PubMed Central PMCID: PMCPmc3433652.
25. Byass P, Herbst K, Fottrell E, Ali MM, Odhiambo F, Amek N, et al. Comparing verbal autopsy cause of death findings as determined by physician coding and probabilistic modelling: a public health analysis of 54 000 deaths in Africa and Asia. J Glob Health. 2015; 5(1):010402. Epub 2015/03/04. doi: 10.7189/ jogh.05.010402 PMID: 25734004; PubMed Central PMCID: PMCPMC4337147.
26. USGS. Available: https://lpdaac.usgs.gov/.
27. Rowlingson RBaTKaB. rgdal: Bindings for the Geospatial Data Abstraction Library. 2014.
28. Hallman J. tis: Time Indexes and Time Indexed Series 2013. Available: http://CRAN.R-project.org/ package=tis.
29. R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria 2014. Available: http://www.R-project.org/.
30. Gasparrini A. Distributed Lag Linear and Non-Linear Models in R: The Package dlnm. Journal of statistical software. 2011; 43(8):1-20. Epub 2011/10/18. PMID: 22003319; PubMed Central PMCID: PMCPmc3191524.
31. Gasparrini A. Modeling exposure-lag-response associations with distributed lag non-linear models. Statistics in medicine. 2014; 33(5):881-99. Epub 2013/09/13. doi: 10.1002/sim.5963 PMID: 24027094; PubMed Central PMCID: PMCPmc4098103.
32. Zhao X, Chen F, Feng Z, Li X, Zhou XH. The temporal lagged association between meteorological factors and malaria in 30 counties in south-west China: a multilevel distributed lag non-linear analysis. Malaria journal. 2014; 13:57. Epub 2014/02/18. doi: 10.1186/1475-2875-13-57 PMID: 24528891; PubMed Central PMCID: PMCPMC3932312.
33. Bi Y, Yu W, Hu W, Lin H, Guo Y, Zhou XN, et al. Impact of climate variability on Plasmodium vivax and Plasmodium falciparum malaria in Yunnan Province, China. Parasites & vectors. 2013; 6:357. Epub 2013/12/18. doi: 10.1186/1756-3305-6-357 PMID: 24341555; PubMed Central PMCID: PMCPMC3898806.
34. Beck-Johnson LM, Nelson WA, Paaijmans KP, Read AF, Thomas MB, Bjornstad ON. The effect of temperature on Anopheles mosquito population dynamics and the potential for malaria transmission. PloS one. 2013; 8(11):e79276. Epub 2013/11/19. doi: 10.1371/journal.pone.0079276 PMID: 24244467; PubMed Central PMCID: PMCPmc3828393.
35. Christiansen-Jucht C, Parham PE, Saddler A, Koella JC, Basanez MG. Temperature during larval development and adult maintenance influences the survival of Anopheles gambiae s.s. Parasites & vectors. 2014; 7:489. Epub 2014/11/05. doi: 10.1186/s13071-014-0489-3 PMID: 25367091; PubMed Central PMCID: PMCPmc4236470.
36. Amek N, Bayoh N, Hamel M, Lindblade KA, Gimnig JE, Odhiambo F, et al. Spatial and temporal dynamics of malaria transmission in rural Western Kenya. Parasites & vectors. 2012; 5:86. Epub 2012/05/01. doi: 10.1186/1756-3305-5-86 PMID: 22541138; PubMed Central PMCID: PMCPmc3464956.
37. Dantur Juri MJ, Estallo E, Almiron W, Santana M, Sartor P, Lamfri M, et al. Satellite-derived NDVI, LST, and climatic factors driving the distribution and abundance of Anopheles mosquitoes in a former malarious area in northwest Argentina. Journal of vector ecology: journal of the Society for Vector Ecology. 2015; 40(1):36-45. Epub 2015/06/06. doi: 10.1111/jvec.12130 PMID: 26047182.
38. Amek N, Bayoh N, Hamel M, Lindblade KA, Gimnig J, Laserson KF, et al. Spatio-temporal modeling of sparse geostatistical malaria sporozoite rate data using a zero inflated binomial model. Spatial and spatio-temporal epidemiology. 2011; 2(4):283-90. Epub 2012/07/04. doi: 10.1016/j.sste.2011.08.001 PMID: 22748226.
39. Teklehaimanot HD, Lipsitch M, Teklehaimanot A, Schwartz J. Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms. Malaria journal. 2004; 3:41. Epub 2004/11/16. doi: 10.1186/1475-2875-3-41 PMID: 15541174; PubMed Central PMCID: PMCPMC535540.
40. Walker M, Winskill P, Basanez MG, Mwangangi JM, Mbogo C, Beier JC, et al. Temporal and micro-spatial heterogeneity in the distribution of Anopheles vectors of malaria along the Kenyan coast. Parasites & vectors. 2013; 6:311. Epub 2013/12/18. doi: 10.1186/1756-3305-6-311 PMID: 24330615; PubMed Central PMCID: PMCPmc3843567.
41. Beck LR, Lobitz BM, Wood BL. Remote sensing and human health: new sensors and new opportunities. Emerging infectious diseases. 2000; 6(3):217-27. Epub 2000/05/29. doi: 10.3201/eid0603.000301 PMID: 10827111; PubMed Central PMCID: PMCPmc2640871.
42. Hay SI, Snow RW, Rogers DJ. Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1998; 92 (1):12-20. Epub 1998/08/06. PMID: 9692138.
43. Haque U, Hashizume M, Glass GE, Dewan AM, Overgaard HJ, Yamamoto T. The role of climate variability in the spread of malaria in Bangladeshi highlands. PloS one. 2010; 5(12):e14341. doi: 10.1371/ journal.pone.0014341 PMID: 21179555; PubMed Central PMCID: PMC3002939.
44. Midekisa A, Senay G, Henebry GM, Semuniguse P, Wimberly MC. Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia. Malaria journal. 2012; 11:165. Epub 2012/05/16. doi: 10.1186/1475-2875-11-165 PMID: 22583705; PubMed Central PMCID: PMCPmc3493314.
45. Hashemi SA. Investigation of Relationship Between Rainfall and Vegetation Index by Using NOAA/ AVHRR Satellite Images. World Applied Sciences Journal. 2011; 14(11): 1678-82.
46. Streatfield PK, Khan WA, Bhuiya A, Hanifi SM, Alam N, Diboulo E, et al. Malaria mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites. Global health action. 2014; 7:25369. Epub 2014/11/08. doi: 10.3402/gha.v7.25369 PMID: 25377329; PubMed Central PMCID: PMCPMC4220130.
47. Rogers DJ, Randolph SE, Snow RW, Hay SI. Satellite imagery in the study and forecast of malaria. Nature. 2002; 415(6872):710-5. Epub 2002/02/08. doi: 10.1038/415710a PMID: 11832960; PubMed Central PMCID: PMCPmc3160466.