Effects of climate variability and environmental factors on the spatiotemporal distribution of malaria incidence in the Amhara national regional state, Ethiopia
Tài liệu tham khảo
World Health Organization. World Malaria Report: 20 years of global progress and challenges. 2020.
Brooke, 2019, The future of climate epidemiology: opportunities for advancing health research in the context of climate change, Am. J. Epidemiol.
Beard C.B., Eisen R.J., Barker C.M., Garofalo J.F., Hahn M., Hayden M., et al. Ch. 5: Vectorborne Diseases. The impacts of climate change on Human Health in the United States: a scientific assessment. 2016.
Gething, 2011, Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P. vivax, Parasites and Vectors, 10.1186/1756-3305-4-92
Corberán-Vallet, 2011, Conditional predictive inference for online surveillance of spatial disease incidence, Stat. Med., 30, 3095, 10.1002/sim.4340
Hundessa, 2018, Projecting potential spatial and temporal changes in the distribution of Plasmodium vivax and Plasmodium falciparum malaria in China with climate change, Sci. Total Environ., 627, 10.1016/j.scitotenv.2018.01.300
Ryan S.J., Mcnally A., Johnson L.R., Mordecai E.A., Ben-Horin T., Paaijmans K., et al. Mapping physiological suitability limits for malaria in Africa under climate change. Vector-Borne Zoonotic Dis 2015. https://doi.org/10.1089/vbz.2015.1822.
Taye, 2015, Modeling effect of climate variability on malaria in Ethiopia, Ethiop. J. Heal. Dev., 29
Paaijmans, 2009, Understanding the link between malaria risk and climate, Proc. Natl. Acad. Sci., 106, 13844, 10.1073/pnas.0903423106
Adu-Prah, 2015, Spatiotemporal analysis of climate variability impacts on malaria prevalence in Ghana, Appl. Geogr., 60, 266, 10.1016/j.apgeog.2014.10.010
Pascual, 2009, Do rising temperatures matter?, Ecology, 90, 906, 10.1890/08-0730.1
Siraj, 2014, Altitudinal changes in malaria incidence in highlands of Ethiopia and Colombia, Science (80-), 343, 1154, 10.1126/science.1244325
Kibret, 2019, Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia, Malar. J.
Bomblies, 2012, Modeling the role of rainfall patterns in seasonal malaria transmission, Clim. Change, 112, 673, 10.1007/s10584-011-0230-6
Dhimal, 2015, Climate change and spatiotemporal distributions of vector-borne diseases in Nepal–a systematic synthesis of literature, PLoS ONE, 10, 10.1371/journal.pone.0129869
Patz, 1998, Predicting key malaria transmission factors, biting and entomological inoculation rates, using modeled soil moisture in Kenya, Trop. Med. Int. Heal., 3, 818, 10.1046/j.1365-3156.1998.00309.x
Vajda, 2017, Assessing the risk factors associated with malaria in the Highlands of Ethiopia: what do we need to know?, Trop. Med. Infect. Dis., 2, 4, 10.3390/tropicalmed2010004
Midekisa, 2015, Seasonal associations of climatic drivers and malaria in the highlands of Ethiopia, Parasit. Vector., 8, 1, 10.1186/s13071-015-0954-7
Lankir, 2020, A five-year trend analysis of malaria surveillance data in selected zones of Amhara region, Northwest Ethiopia, BMC Public Health, 20, 1, 10.1186/s12889-020-09273-5
Alemu, 2013, Malaria infection has spatial, temporal, and spatiotemporal heterogeneity in unstable malaria transmission areas in northwest Ethiopia, PLoS ONE, 8, 10.1371/journal.pone.0079966
Yalew, 2017, Current and cumulative malaria infections in a setting embarking on elimination : amhara, Ethiopia, Malar. J., 1
2007
Fang, 2009, Global Land Data Assimilation System (GLDAS) products, services and application from NASA Hydrology Data and Information Services Center (HDISC), Am. Soc. Photogramm. Remote Sens. Annu. Conf. 2009, ASPRS 2009
Rothman, 2012
Natama, 2018, Malaria incidence and prevalence during the first year of life in Nanoro, Burkina Faso: a birth-cohort study, Malar. J., 10.1186/s12936-018-2315-4
2013, Population projection of ethiopia for all regions at wereda level from 2014–2017, J. Ethnobiol. Ethnomed.
Xekalaki, 2014, On the distribution theory of over-dispersion, J. Stat. Distrib. Appl., 10.1186/s40488-014-0019-z
Torabi, 2010, Spatio-temporal modeling of disease mapping of rates, Can. J. Stat., 38, 10.1002/cjs.10073
Cui, 2006, On the generalized Poisson regression mixture model for mapping quantitative trait loci with count data, Genetics, 10.1534/genetics.106.061960
Knorr-Held, 2000, Bayesian modeling of inseparable space-time variation in disease risk, Stat. Med., 10.1002/1097-0258(20000915/30)19:17/18<2555::AID-SIM587>3.0.CO;2-#
Consul, 1992, Generalized Poisson regression model, Commun Stat - Theory Methods, 10.1080/03610929208830766
Rue, 2009, Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations, J. R. Stat. Soc. Ser. B Stat. Methodol., 71, 319, 10.1111/j.1467-9868.2008.00700.x
López-Quílez, 2019, Spatio-temporal analysis of infectious diseases, Int J. Environ. Res. Public Health, 16, 10.3390/ijerph16040669
Beck-Johnson, 2013, The effect of temperature on Anopheles mosquito population dynamics and the potential for malaria transmission, PLoS ONE, 8, e79276, 10.1371/journal.pone.0079276
Yewhalaw, 2013, The effect of dams and seasons on malaria incidence and anopheles abundance in Ethiopia, BMC Infect. Dis., 13, 1, 10.1186/1471-2334-13-161
Hay, 2009, A world malaria map: plasmodium falciparum endemicity in 2007, PLoS Med., 6, 10.1371/annotation/a7ab5bb8-c3bb-4f01-aa34-65cc53af065d
Babaie, 2018, A systematic evidence review of the effect of climate change on malaria in Iran, J. Parasit. Dis., 42, 331, 10.1007/s12639-018-1017-8
Siya, 2020, Malaria patterns across altitudinal zones of Mount Elgon following intensified control and prevention programs in Uganda, BMC Infect. Dis., 20, 1, 10.1186/s12879-020-05158-5
Solomon, 2019, Low use of long-lasting insecticidal nets for malaria prevention in south-central Ethiopia: a community-based cohort study, PLoS ONE, 14
Kleinschmidt, 2018, Implications of insecticide resistance for malaria vector control with long-lasting insecticidal nets: a WHO-coordinated, prospective, international, observational cohort study, Lancet Infect. Dis., 18, 640, 10.1016/S1473-3099(18)30172-5