Projecting environmental suitable areas for malaria transmission in China under climate change scenarios
Tài liệu tham khảo
Ayala, 2009, Habitat suitability and ecological niche profile of major malaria vectors in Cameroon, Malar. J., 8, 307, 10.1186/1475-2875-8-307
Barry, 2012, Recent advances in mountain climate research, Theor. Appl. Climatol., 110, 549, 10.1007/s00704-012-0695-x
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
Cameron, 2013
Capinha, 2009, Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal, Geospat. Health, 3, 177, 10.4081/gh.2009.219
Casman, 2002
Chalghaf, 2016, Ecological niche modeling for the prediction of the geographic distribution of cutaneous leishmaniasis in Tunisia, Am. J. Trop. Med. Hyg., 94, 844, 10.4269/ajtmh.15-0345
China Ministry of Health, 2012
Chong-Hai, 2012, The projection of temperature and precipitation over China under RCP scenarios using a CMIP5 multi-model ensemble, Atmos. Ocean. Sci. Lett., 5, 527, 10.1080/16742834.2012.11447042
Clements, 2009, Space-time variation of malaria incidence in Yunnan province, China, Malar. J., 8, 180, 10.1186/1475-2875-8-180
Climate Change, 2014
Ebhuoma, 2016, Remote sensing-driven climatic/environmental variables for modelling malaria transmission in Sub-Saharan Africa, Int. J. Environ. Res. Public Health, 13, 10.3390/ijerph13060584
ESRI, 2014. ArcGIS Desktop: Release 10.3.1 [Press release].
Feng, 2015, Analysis of malaria epidemiological characteristics in the People's Republic of China, 2004–2013, Am. J. Trop. Med. Hyg., 93, 293, 10.4269/ajtmh.14-0733
Foley, 2009, Geographic distribution and ecology of potential malaria vectors in the Republic of Korea, J. Med. Entomol., 46, 680, 10.1603/033.046.0336
Gao, H.-.W., Wang, L.-.P., Liang, S., Liu, Y.-.X., Tong, S.-.L., Wang, J.-.J., et al. 2012. Change in rainfall drives malaria re-emergence in Anhui Province, China.
Gething, 2011, Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P. vivax, Parasit. Vectors, 4, 92, 10.1186/1756-3305-4-92
Grace An, 2011, Influence of climate on malaria in China, Penn McNair Res. J., 3
Guisan, 2005, Predicting species distribution: offering more than simple habitat models, Ecol. Lett., 8, 993, 10.1111/j.1461-0248.2005.00792.x
Hong, 2005, Spatial interpolation of monthly mean climate data for China, Int. J. Climatol., 25, 1369, 10.1002/joc.1187
Huang, 2015, Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China, Parasit. Vectors, 8, 146, 10.1186/s13071-015-0741-5
Kulkarni, 2010, High resolution niche models of malaria vectors in northern Tanzania: a new capacity to predict malaria risk?, PLoS One, 5, e9396, 10.1371/journal.pone.0009396
Lai, 2016, Plasmodium falciparum malaria importation from Africa to China and its mortality: an analysis of driving factors, Sci. Rep., 6, 39524, 10.1038/srep39524
Laporta, 2011, Habitat suitability of Anopheles vector species and association with human malaria in the Atlantic forest in south-eastern Brazil, Mem. Inst. Oswaldo Cruz, 106, 239, 10.1590/S0074-02762011000900029
Liu, 2014, Malaria in overseas labourers returning to China: an analysis of imported malaria in Jiangsu Province, 2001–2011, Malar. J., 13, 29, 10.1186/1475-2875-13-29
Lu, 2016, Challenges in and lessons learned during the implementation of the 1-3-7 malaria surveillance and response strategy in China: a qualitative study, Infect. Dis. Poverty, 5, 94, 10.1186/s40249-016-0188-8
M McPherson, 2007, Effects of species’ ecology on the accuracy of distribution models, Ecography, 30, 135
McIntyre, S., Rangel, E. F., Ready, P. D., & Carvalho, B. M. 2017. Species-specific ecological niche modelling predicts different range contractions for Lutzomyia intermedia and a related vector of Leishmania braziliensis following climate change in South America. 10(1), 157. 〈http://dx.doi.org/10.1186/s13071-017-2093-9〉.
Merow, 2013, A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter, Ecography, 36, 1058, 10.1111/j.1600-0587.2013.07872.x
Noden, 1995, The impact of variations in temperature on early Plasmodium falciparum development in Anopheles stephensi, Parasitology, 111, 539, 10.1017/S0031182000077003
Obsomer, 2007, The Anopheles dirus complex: spatial distribution and environmental drivers, Malar. J., 6, 26, 10.1186/1475-2875-6-26
Obsomer, 2012, Predicted distribution of major malaria vectors belonging to the Anopheles dirus complex in Asia: ecological niche and environmental influences, PLoS One, 7, e50475, 10.1371/journal.pone.0050475
Pan, 2012, Impact of pesticide use on the density of Anopheles anthropophagus and malaria incidence (in Chinese), Chin. J. Parasitol. Parasit. Dis., 30, 218
Pan, 2012, Vector capacity of Anopheles sinensis in malaria outbreak areas of central China, Parasit. Vectors, 5, 136, 10.1186/1756-3305-5-136
Phillips, 2008, Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation, Ecography, 31, 161, 10.1111/j.0906-7590.2008.5203.x
Phillips, 2006, Maximum entropy modeling of species geographic distributions, Ecol. Model., 190, 231, 10.1016/j.ecolmodel.2005.03.026
Redon, M., Luque, S., 2010. Presence-only modelling for indicator species distribution: biodiversity monitoring in the French Alps. Paper presented at the 6th Spatial Analysis and Geomatics international conference (SAGEO 2010).
Reiter, 2001, Climate change and mosquito-borne disease, Environ. Health Perspect., 109, 141, 10.1289/ehp.01109s1141
Ren, 2016, Predicting malaria vector distribution under climate change scenarios in China: challenges for malaria elimination, Sci. Rep., 6, 20604, 10.1038/srep20604
Rueda, L.M., Zhao, T., Ma, Y., Gao, Q., Ding, Z.G., Khuntirat, B., et al. 2007. Updated distribution records of the Anopheles (Anopheles) hyrcanus species-group (Diptera: Culicidae) in China. Retrieved from.
Slater, 2012, Predicting the current and future potential distributions of lymphatic filariasis in Africa using maximum entropy ecological niche modelling, PloS One, 7, e32202, 10.1371/journal.pone.0032202
Song, 2016, Spatial distribution estimation of malaria in northern China and its scenarios in 2020, 2030, 2040 and 2050, Malar. J., 15, 345, 10.1186/s12936-016-1395-2
Stratman-Thomas, 1940, The influence of temperature on Plasmodium vivax, Am. J. Trop. Med., 20
Suárez-Seoane, 2008, Maximum entropy niche-based modelling of seasonal changes in little bustard (Tetrax tetrax) distribution, Ecol. Model., 219, 17, 10.1016/j.ecolmodel.2008.07.035
Tang, 2000, Progress in malaria control in China, Chin. Med. J., 113, 89
Tian, 2015, Future changes and uncertainties in temperature and precipitation over China based on CMIP5 models, Adv. Atmos. Sci., 32, 487, 10.1007/s00376-014-4102-7
Van Vuuren, 2011, The representative concentration pathways: an overview, Clim. Change, 109, 5, 10.1007/s10584-011-0148-z
Wang, 2015, Transmission Risk from Imported Plasmodium vivax Malaria in the China-Myanmar Border Region, Emerg. Infect. Dis., 21, 1861, 10.3201/eid2110.150679
Wen, 2011, Spatio-temporal analysis of malaria incidence at the village level in a malaria-endemic area in Hainan, China, Malar. J., 10, 88, 10.1186/1475-2875-10-88
WHO, 2013. 2/10/2015). Global Health Observatory (GHO)data. Malaria Retrieved from 〈http://www.who.int/gho/malaria/en/〉.
Xia, 2015, Spatial, temporal, and spatiotemporal analysis of malaria in Hubei Province, China from 2004–2011, Malar. J., 14, 145, 10.1186/s12936-015-0650-2
Xia, 2014, Lessons from malaria control to elimination: case study in Hainan and Yunnan provinces, Adv. Parasitol., 86, 47, 10.1016/B978-0-12-800869-0.00003-2
Xiao, 2010, Spatiotemporal distribution of malaria and the association between its epidemic and climate factors in Hainan, China, Malar. J., 9, 185, 10.1186/1475-2875-9-185
Xu, 2016, Malaria control along China-Myanmar Border during 2007–2013: an integrated impact evaluation, Infect. Dis. Poverty, 5, 75, 10.1186/s40249-016-0171-4
Yin, 2013, Changing malaria transmission and implications in China towards National Malaria Elimination Programme between 2010 and 2012, PLoS One, 8, e74228, 10.1371/journal.pone.0074228
Yin, 2014, Chapter One - Historical Patterns of Malaria Transmission in China, Vol. 86, 1
Zhang, 2014, [Malaria situation in thePeople's Republic of China in 2013](in Chinese), Chin. J. Parasitol. Parasit. Dis., 32, 407
Zhang, 2014, The epidemiology of Plasmodium vivax and Plasmodium falciparum malaria in China, 2004–2012: from intensified control to elimination, Malar. J., 13, 419, 10.1186/1475-2875-13-419
Zhang, 2014, The epidemiology of Plasmodium vivax and Plasmodium falciparum malaria in China, 2004–2012: from intensified control to elimination, Malar. J., 13, 419, 10.1186/1475-2875-13-419
Zhang, 2008, Spatial analysis of malaria in Anhui province, China, Malar. J., 7, 206, 10.1186/1475-2875-7-206
Zhang, 2012, Spatial-temporal analysis of malaria and the effect of environmental factors on its incidence in Yongcheng, China, 2006–2010, BMC Public Health, 12, 544, 10.1186/1471-2458-12-544
Zhou, 2016, Trends of imported malaria in China 2010–2014: analysis of surveillance data, Malar. J., 15, 39, 10.1186/s12936-016-1093-0
Zhou, 2015, China's 1-3-7 surveillance and response strategy for malaria elimination: is case reporting, investigation and foci response happening according to plan?, Infect. Dis. Poverty, 4, 55, 10.1186/s40249-015-0089-2
Zhou, 2014, Feasibility and roadmap analysis for malaria elimination in China, Adv. Parasitol., 86, 21, 10.1016/B978-0-12-800869-0.00002-0
