These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
140 related articles for article (PubMed ID: 31099518)
1. Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa. Adeola AM; Botai JO; Mukarugwiza Olwoch J; De W Rautenbach HCJ; Adisa OM; De Jager C; Botai CM; Aaron M Geospat Health; 2019 May; 14(1):. PubMed ID: 31099518 [TBL] [Abstract][Full Text] [Related]
2. Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia. Midekisa A; Senay G; Henebry GM; Semuniguse P; Wimberly MC Malar J; 2012 May; 11():165. PubMed ID: 22583705 [TBL] [Abstract][Full Text] [Related]
3. Climatic Variables and Malaria Morbidity in Mutale Local Municipality, South Africa: A 19-Year Data Analysis. Adeola AM; Botai JO; Rautenbach H; Adisa OM; Ncongwane KP; Botai CM; Adebayo-Ojo TC Int J Environ Res Public Health; 2017 Nov; 14(11):. PubMed ID: 29117114 [TBL] [Abstract][Full Text] [Related]
4. Interactions between climatic changes and intervention effects on malaria spatio-temporal dynamics in Uganda. Ssempiira J; Kissa J; Nambuusi B; Mukooyo E; Opigo J; Makumbi F; Kasasa S; Vounatsou P Parasite Epidemiol Control; 2018 Aug; 3(3):e00070. PubMed ID: 29988311 [TBL] [Abstract][Full Text] [Related]
5. Remotely Sensed Environmental Conditions and Malaria Mortality in Three Malaria Endemic Regions in Western Kenya. Sewe MO; Ahlm C; Rocklöv J PLoS One; 2016; 11(4):e0154204. PubMed ID: 27115874 [TBL] [Abstract][Full Text] [Related]
6. Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa. Kapwata T; Gebreslasie MT Geospat Health; 2016 Nov; 11(3):434. PubMed ID: 27903050 [TBL] [Abstract][Full Text] [Related]
7. Developing a dengue prediction model based on climate in Tawau, Malaysia. Jayaraj VJ; Avoi R; Gopalakrishnan N; Raja DB; Umasa Y Acta Trop; 2019 Sep; 197():105055. PubMed ID: 31185224 [TBL] [Abstract][Full Text] [Related]
8. Sensitivity of vegetation to climate variability and its implications for malaria risk in Baringo, Kenya. Amadi JA; Olago DO; Ong'amo GO; Oriaso SO; Nanyingi M; Nyamongo IK; Estambale BBA PLoS One; 2018; 13(7):e0199357. PubMed ID: 29975780 [TBL] [Abstract][Full Text] [Related]
9. Remote Sensing-Driven Climatic/Environmental Variables for Modelling Malaria Transmission in Sub-Saharan Africa. Ebhuoma O; Gebreslasie M Int J Environ Res Public Health; 2016 Jun; 13(6):. PubMed ID: 27314369 [TBL] [Abstract][Full Text] [Related]
10. Exploring the Influence of Daily Climate Variables on Malaria Transmission and Abundance of Abiodun GJ; Njabo KY; Witbooi PJ; Adeola AM; Fuller TL; Okosun KO; Makinde OS; Botai JO J Environ Public Health; 2018; 2018():3143950. PubMed ID: 30584427 [TBL] [Abstract][Full Text] [Related]
11. Micro-spatial distribution of malaria cases and control strategies at ward level in Gwanda district, Matabeleland South, Zimbabwe. Manyangadze T; Chimbari MJ; Macherera M; Mukaratirwa S Malar J; 2017 Nov; 16(1):476. PubMed ID: 29162102 [TBL] [Abstract][Full Text] [Related]
12. Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: part I. The impact of climatic factors. Craig MH; Kleinschmidt I; Nawn JB; Le Sueur D; Sharp BL Trop Med Int Health; 2004 Dec; 9(12):1247-57. PubMed ID: 15598256 [TBL] [Abstract][Full Text] [Related]
13. Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand. Kiang R; Adimi F; Soika V; Nigro J; Singhasivanon P; Sirichaisinthop J; Leemingsawat S; Apiwathnasorn C; Looareesuwan S Geospat Health; 2006 Nov; 1(1):71-84. PubMed ID: 18686233 [TBL] [Abstract][Full Text] [Related]
14. Temporal correlation analysis between malaria and meteorological factors in Motuo County, Tibet. Huang F; Zhou S; Zhang S; Wang H; Tang L Malar J; 2011 Mar; 10():54. PubMed ID: 21375751 [TBL] [Abstract][Full Text] [Related]
15. [Climate variability and number of deaths attributable to malaria in the Niakhar area, Senegal, from 1984 to 1996]. Ndiaye O; Hesran JY; Etard JF; Diallo A; Simondon F; Ward MN; Robert V Sante; 2001; 11(1):25-33. PubMed ID: 11313229 [TBL] [Abstract][Full Text] [Related]
16. Rainfall Trends and Malaria Occurrences in Limpopo Province, South Africa. Adeola A; Ncongwane K; Abiodun G; Makgoale T; Rautenbach H; Botai J; Adisa O; Botai C Int J Environ Res Public Health; 2019 Dec; 16(24):. PubMed ID: 31861127 [TBL] [Abstract][Full Text] [Related]
17. Development of temporal modelling for forecasting and prediction of malaria infections using time-series and ARIMAX analyses: a case study in endemic districts of Bhutan. Wangdi K; Singhasivanon P; Silawan T; Lawpoolsri S; White NJ; Kaewkungwal J Malar J; 2010 Sep; 9():251. PubMed ID: 20813066 [TBL] [Abstract][Full Text] [Related]
18. Impact of climate variability on the transmission risk of malaria in northern Côte d'Ivoire. M'Bra RK; Kone B; Soro DP; N'krumah RTAS; Soro N; Ndione JA; Sy I; Ceccato P; Ebi KL; Utzinger J; Schindler C; Cissé G PLoS One; 2018; 13(6):e0182304. PubMed ID: 29897901 [TBL] [Abstract][Full Text] [Related]
19. Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning. Martineau P; Behera SK; Nonaka M; Jayanthi R; Ikeda T; Minakawa N; Kruger P; Mabunda QE Front Public Health; 2022; 10():962377. PubMed ID: 36091554 [TBL] [Abstract][Full Text] [Related]
20. Could Malaria Control Programmes be Timed to Coincide with Onset of Rainfall? Komen K Ecohealth; 2017 Jun; 14(2):259-271. PubMed ID: 28378182 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]