-
1
-
-
0008195734
-
Epidemic malaria of the Punjab: With a note of a method of predicting epidemic years
-
Christophers SR. Epidemic malaria of the Punjab: with a note of a method of predicting epidemic years. Trans Committee Stud Malaria India 1911;2:17-26.
-
(1911)
Trans Committee Stud Malaria India
, vol.2
, pp. 17-26
-
-
Christophers, S.R.1
-
3
-
-
77952054200
-
Towards malaria risk prediction in Afghanistan using remote sensing
-
Adimi F, Soebiyanto RP, Safi N, et al. Towards malaria risk prediction in Afghanistan using remote sensing. Malar J 2010;9:125.
-
(2010)
Malar J
, vol.9
, pp. 125
-
-
Adimi, F.1
Soebiyanto, R.P.2
Safi, N.3
-
4
-
-
62749134546
-
Multi-step polynomial regression method to model and forecast malaria incidence
-
Chatterjee C, Sarkar RR. Multi-step polynomial regression method to model and forecast malaria incidence. PLoS ONE 2009;4:e4726.
-
(2009)
PLoS ONE
, vol.4
-
-
Chatterjee, C.1
Sarkar, R.R.2
-
5
-
-
35948984759
-
Forecasting malaria incidence based on monthly case reports and environmental factors in Karuzi, Burundi, 1997-2003
-
Gomez-Elipe A, Otero A, van Herp M, et al. Forecasting malaria incidence based on monthly case reports and environmental factors in Karuzi, Burundi, 1997-2003. Malar J 2007;6:129.
-
(2007)
Malar J
, vol.6
, pp. 129
-
-
Gomez-Elipe, A.1
Otero, A.2
Van Herp, M.3
-
7
-
-
79953203199
-
Modelling and prediction of malaria vector distribution in Bangladesh from remote-sensing data
-
Rahman A, Kogan F, Roytman L, et al. Modelling and prediction of malaria vector distribution in Bangladesh from remote-sensing data. Int J Remote Sens 2011;32:1233-51.
-
(2011)
Int J Remote Sens
, vol.32
, pp. 1233-1251
-
-
Rahman, A.1
Kogan, F.2
Roytman, L.3
-
8
-
-
81255158005
-
Theoretical investigation of malaria prevalence in two Indian cities using the response surface method
-
Roy SB, Sarkar RR, Somdatta S. Theoretical investigation of malaria prevalence in two Indian cities using the response surface method. Malar J 2011;10:301.
-
(2011)
Malar J
, vol.10
, pp. 301
-
-
Roy, S.B.1
Sarkar, R.R.2
Somdatta, S.3
-
9
-
-
12244306285
-
Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia II
-
Teklehaimanot HD, Schwartz J, Teklehaimanot A, et al. Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia II. Malar J 2004;3:44.
-
(2004)
Malar J
, vol.3
, pp. 44
-
-
Teklehaimanot, H.D.1
Schwartz, J.2
Teklehaimanot, A.3
-
10
-
-
77954544132
-
Spatiotemporal distribution of malaria and the association between its epidemic and climate factors in Hainan, China
-
Xiao D, Long Y, Wang S, et al. Spatiotemporal distribution of malaria and the association between its epidemic and climate factors in Hainan, China. Malar J 2010;9:185.
-
(2010)
Malar J
, vol.9
, pp. 185
-
-
Xiao, D.1
Long, Y.2
Wang, S.3
-
11
-
-
84871075578
-
Preliminary forecasts of the incidence of malaria in the Punjab
-
Yacob M, Swaroop S. Preliminary forecasts of the incidence of malaria in the Punjab. Ind J Malariol 1947;1:491-501.
-
(1947)
Ind J Malariol
, vol.1
, pp. 491-501
-
-
Yacob, M.1
Swaroop, S.2
-
12
-
-
84871087589
-
Establishment of a dynamic model of malaria outbreak in Chongqing municipality
-
Yan W, Jiang S, Li J, et al. Establishment of a dynamic model of malaria outbreak in Chongqing municipality. J Trop Med (Guangzhou) 2007;7:801-3.
-
(2007)
J Trop Med (Guangzhou)
, vol.7
, pp. 801-803
-
-
Yan, W.1
Jiang, S.2
Li, J.3
-
13
-
-
0036401266
-
Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: A simple seasonal adjustment method performs best
-
DOI 10.1046/j.1365-3156.2002.00924.x
-
Abeku TA, De Vlas SJ, Borsboom G, et al. Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method performs best. Trop Med Int Health 2002;7:851-7. (Pubitemid 35205370)
-
(2002)
Tropical Medicine and International Health
, vol.7
, Issue.10
, pp. 851-857
-
-
Abeku, T.A.1
De Vlas, S.J.2
Borsboom, G.3
Teklehaimanot, A.4
Kebede, A.5
Olana, D.6
Van Oortmarssen, G.J.7
Habbema, J.D.F.8
-
14
-
-
44849103686
-
Models for short term malaria prediction in Sri Lanka
-
Briët OJ, Vounatsou P, Gunawardena DM, et al. Models for short term malaria prediction in Sri Lanka. Malar J 2008;7:76.
-
(2008)
Malar J
, vol.7
, pp. 76
-
-
Briët, O.J.1
Vounatsou, P.2
Gunawardena, D.M.3
-
15
-
-
84871078610
-
Epidemiological analysis on malaria incidence in China from 2004 to 2009 by time series model
-
Liu J, Qu B, He Q. Epidemiological analysis on malaria incidence in China from 2004 to 2009 by time series model. Chin J Vector Biol Control 2011;22:134-6.
-
(2011)
Chin J Vector Biol Control
, vol.22
, pp. 134-136
-
-
Liu, J.1
Qu, B.2
He, Q.3
-
16
-
-
77956454726
-
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, et al. 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. Malar J 2010;9:251.
-
(2010)
Malar J
, vol.9
, pp. 251
-
-
Wangdi, K.1
Singhasivanon, P.2
Silawan, T.3
-
17
-
-
80051860298
-
Prediction of malaria incidence in malaria epidemic area with time series model
-
Wen L, Xu D, Lin M, et al. Prediction of malaria incidence in malaria epidemic area with time series model. J Fourth Military Med Univ 2004;25:507-10.
-
(2004)
J Fourth Military Med Univ
, vol.25
, pp. 507-510
-
-
Wen, L.1
Xu, D.2
Lin, M.3
-
18
-
-
77953361471
-
Meteorological variables and malaria in a Chinese temperate city: A twenty-year time-series data analysis
-
Zhang Y, Bi P, Hiller JE. Meteorological variables and malaria in a Chinese temperate city: a twenty-year time-series data analysis. Environ Int 2010;36:439-45.
-
(2010)
Environ Int
, vol.36
, pp. 439-445
-
-
Zhang, Y.1
Bi, P.2
Hiller, J.E.3
-
19
-
-
84871065649
-
Application of ARIMA model on prediction of malaria incidence
-
Zhou S, Huang F, Shen Y. Application of ARIMA model on prediction of malaria incidence. J Pathogen Biol 2007;2:284-6.
-
(2007)
J Pathogen Biol
, vol.2
, pp. 284-286
-
-
Zhou, S.1
Huang, F.2
Shen, Y.3
-
20
-
-
58149344020
-
Study on the feasibility for ARIMA model application to predict malaria incidence in an unstable malaria area
-
Zhu JM, Tang LH, Zhou SS, et al. Study on the feasibility for ARIMA model application to predict malaria incidence in an unstable malaria area. Chin J Parasitol Parasitic Dis 2007;25:232-6.
-
(2007)
Chin J Parasitol Parasitic Dis
, vol.25
, pp. 232-236
-
-
Zhu, J.M.1
Tang, L.H.2
Zhou, S.S.3
-
21
-
-
66649101032
-
Modelling malaria incidence with environmental dependency in a locality of Sudanese savannah area, Mali
-
Gaudart J, Toure O, Dessay N, et al. Modelling malaria incidence with environmental dependency in a locality of Sudanese savannah area, Mali. Malar J 2009;8:61.
-
(2009)
Malar J
, vol.8
, pp. 61
-
-
Gaudart, J.1
Toure, O.2
Dessay, N.3
-
22
-
-
78049480117
-
Forcing versus feedback: Epidemic malaria and monsoon rains in northwest India
-
doi:10.1371/journal.pcbi.1000898. 1-13
-
Laneri K, Bhadra A, Ionides EL, et al. Forcing versus feedback: epidemic malaria and monsoon rains in northwest India. PLoS Comput Biol 2010;6. doi:10.1371/journal.pcbi.1000898. 1-13
-
(2010)
PLoS Comput Biol
, pp. 6
-
-
Laneri, K.1
Bhadra, A.2
Ionides, E.L.3
-
23
-
-
78649413801
-
Use of an artificial neural network to predict the incidence of malaria in the city of Canta, state of Roraima
-
Cunha GB, Luitgards-Moura JF, Naves ELM, et al. Use of an artificial neural network to predict the incidence of malaria in the city of Canta, state of Roraima. Rev Soc Brasil Med Trop 2010;43:567-70.
-
(2010)
Rev Soc Brasil Med Trop
, vol.43
, pp. 567-570
-
-
Cunha, G.B.1
Luitgards-Moura, J.F.2
Naves, E.L.M.3
-
24
-
-
1542751321
-
Study on meteorological factors-based neural network model of malaria
-
Gao CY, Xiong HY, Yi D, et al. Study on meteorological factors-based neural network model of malaria. Chin J Epidemiol 2003;24:831-4.
-
(2003)
Chin J Epidemiol
, vol.24
, pp. 831-834
-
-
Gao, C.Y.1
Xiong, H.Y.2
Yi, D.3
-
25
-
-
54449094024
-
Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand
-
Kiang R, Adimi F, Soika V, et al. Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand. Geospat Health 2006;1:71-84.
-
(2006)
Geospat Health
, vol.1
, pp. 71-84
-
-
Kiang, R.1
Adimi, F.2
Soika, V.3
-
26
-
-
0026266103
-
Interval division, forecasting and decline tendency estimation model of malaria incidence in Xuzhou City
-
Fang Y, Deng D, Gu ZC, et al. Interval division, forecasting and decline tendency estimation model of malaria incidence in Xuzhou City. Chin J Parasitol Parasitic Dis 1991;9:284-6.
-
(1991)
Chin J Parasitol Parasitic Dis
, vol.9
, pp. 284-286
-
-
Fang, Y.1
Deng, D.2
Gu, Z.C.3
-
27
-
-
84871096306
-
Establishment and estimation of a GM (1,1) grey model for forecasting of malaria epidemic situation in Shenzhen Longgang areas
-
Gao S, Liu J, Zhang R, et al. Establishment and estimation of a GM (1,1) grey model for forecasting of malaria epidemic situation in Shenzhen Longgang areas. J Pathogen Biol 2007;2:357-9.
-
(2007)
J Pathogen Biol
, vol.2
, pp. 357-359
-
-
Gao, S.1
Liu, J.2
Zhang, R.3
-
28
-
-
84871079935
-
A study on the trend of malaria incidence in China in the recent 20 years with GM (1,1)
-
Guo H, Ding H, Qu B, et al. A study on the trend of malaria incidence in China in the recent 20 years with GM (1,1). J Trop Med (Guangzhou) 2011;11:639-40.
-
(2011)
J Trop Med (Guangzhou)
, vol.11
, pp. 639-640
-
-
Guo, H.1
Ding, H.2
Qu, B.3
-
29
-
-
84871096008
-
The forecasting of malaria epidemics with special reference to the malaria forecast for the year 1926
-
Gill CA. The forecasting of malaria epidemics with special reference to the malaria forecast for the year 1926. Ind J Med Res 1927;15:265-76.
-
(1927)
Ind J Med Res
, vol.15
, pp. 265-276
-
-
Gill, C.A.1
-
30
-
-
43149092148
-
Forecasting non-stationary diarrhea, acute respiratory infection, and malaria time-series in Niono, Mali
-
doi:10.1371/journal.pone. 0001181.1-13
-
Medina DC, Findley SE, Guindo B, et al. Forecasting non-stationary diarrhea, acute respiratory infection, and malaria time-series in Niono, Mali. PLoS One 2007;2. doi:10.1371/journal.pone. 0001181.1-13
-
(2007)
PLoS One
, pp. 2
-
-
Medina, D.C.1
Findley, S.E.2
Guindo, B.3
-
31
-
-
84871093713
-
The application of GM (1,1) grey model in the forecasting of malaria epidemic situation
-
Xu X, Jin X. The application of GM (1,1) grey model in the forecasting of malaria epidemic situation. Chin J Parasitic Dis Control 2005;18:178-9.
-
(2005)
Chin J Parasitic Dis Control
, vol.18
, pp. 178-179
-
-
Xu, X.1
Jin, X.2
-
33
-
-
0001692662
-
The Holt-Winters forecasting procedure
-
Chatfield C. The Holt-Winters forecasting procedure. J Roy Statist Soc 1978;27:264-79.
-
(1978)
J Roy Statist Soc
, vol.27
, pp. 264-279
-
-
Chatfield, C.1
-
36
-
-
84871061489
-
-
accessed 30 May 2012
-
Darlington RB. A comparison to ARIMA. http://www.psych.cornell.edu/ darlington/series/series2.htm (accessed 30 May 2012).
-
A Comparison to ARIMA
-
-
Darlington, R.B.1
-
39
-
-
11244261713
-
Econometric computing with HC and HAC covariance matrix estimators
-
Zeileis A. Econometric computing with HC and HAC covariance matrix estimators. J Statist Software 2004;11:1-17. (Pubitemid 40068147)
-
(2004)
Journal of Statistical Software
, vol.11
, pp. 1-17
-
-
Zeileis, A.1
-
40
-
-
0001829246
-
Introduction to Grey system theory
-
Deng JL. Introduction to Grey system theory. J Grey System 1989;1:1-24.
-
(1989)
J Grey System
, vol.1
, pp. 1-24
-
-
Deng, J.L.1
-
41
-
-
13244279551
-
A gray system modelling approach to the prediction of calibration intervals
-
Lin KH, Liu BD. A gray system modelling approach to the prediction of calibration intervals. IEEE Trans Instr Measure 2005;54:297-305.
-
(2005)
IEEE Trans Instr Measure
, vol.54
, pp. 297-305
-
-
Lin, K.H.1
Liu, B.D.2
-
43
-
-
0025753873
-
On the use of mathematical models of malaria transmission
-
Koella JC. On the use of mathematical models of malaria transmission. Acta Trop 1991;49:1-25.
-
(1991)
Acta Trop
, vol.49
, pp. 1-25
-
-
Koella, J.C.1
-
44
-
-
35248833159
-
Neural networks: Forecasting breakthrough or passing fad?
-
Chatfield C. Neural networks: forecasting breakthrough or passing fad? Int J Forecasting 1993;9:1-3.
-
(1993)
Int J Forecasting
, vol.9
, pp. 1-3
-
-
Chatfield, C.1
-
45
-
-
0030297904
-
Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
-
DOI 10.1016/S0895-4356(96)00002-9, PII S0895435696000029
-
Tu JV. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996;49:1225-31. (Pubitemid 26386228)
-
(1996)
Journal of Clinical Epidemiology
, vol.49
, Issue.11
, pp. 1225-1231
-
-
Tu, J.V.1
-
47
-
-
38949170600
-
Simple robust averages of forecasts: Some empirical results
-
Jose VRR, Winkler RL. Simple robust averages of forecasts: Some empirical results. Int J Forecasting 2008;24:163-9.
-
(2008)
Int J Forecasting
, vol.24
, pp. 163-169
-
-
Jose, V.R.R.1
Winkler, R.L.2
-
48
-
-
0035008991
-
Malaria early warning in Kenya
-
DOI 10.1016/S1471-4922(00)01763-3, PII S1471492200017633
-
Hay SI, Rogers DJ, Shanks GD, et al. Malaria early warning in Kenya. Trends Parasitol 2001;17:95-9. (Pubitemid 32416556)
-
(2001)
Trends in Parasitology
, vol.17
, Issue.2
, pp. 95-99
-
-
Hay, S.I.1
Rogers, D.J.2
Shanks, G.D.3
Myers, M.F.4
Snow, R.W.5
-
49
-
-
78751611452
-
To explain or to predict?
-
Shmueli G. To explain or to predict? Statist Sci 2010;25:289-310.
-
(2010)
Statist Sci
, vol.25
, pp. 289-310
-
-
Shmueli, G.1
-
51
-
-
33749517168
-
Another look at measures of forecast accuracy
-
DOI 10.1016/j.ijforecast.2006.03.001, PII S0169207006000239
-
Hyndman RJ, Koehler AB. Another look at measures of forecast accuracy. Int J Forecasting 2006;22:679-88. (Pubitemid 44524717)
-
(2006)
International Journal of Forecasting
, vol.22
, Issue.4
, pp. 679-688
-
-
Hyndman, R.J.1
Koehler, A.B.2
-
52
-
-
0002006114
-
Error measures for generalizing about forecasting methods - Empirical comparisons
-
Armstrong JS, Collopy F. Error measures for generalizing about forecasting methods - empirical comparisons. Int J Forecasting 1992;8:69-80.
-
(1992)
Int J Forecasting
, vol.8
, pp. 69-80
-
-
Armstrong, J.S.1
Collopy, F.2
|