Users Online: 1257 Home Print this page Email this page Small font sizeDefault font sizeIncrease font size
 

 

Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
     
This article has been cited by
1ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India
Farhan Mohammad Khan,Rajiv Gupta
Journal of Safety Science and Resilience.2020;1(1)12
[DOI]
2Forecasting the incidence of dengue in Bangladesh—Application of time series model
Shabnam Naher,Fazle Rabbi,Md. Moyazzem Hossain,Rajon Banik,Sabbir Pervez,Anika Bushra Boitchi
Health Science Reports.2022;5(4)12
[DOI]
3Predicción espacio-temporal probabilista de la epidemia de dengue total y grave en Colombia
Javier Oswaldo Rodríguez Velásquez,Signed Esperanza Prieto Bohórquez,Carlos Eduardo Pérez Díaz,Juan Mauricio Pardo Oviedo,Sandra Catalina Correa Herrera,Fernán Mendoza,Juan Bravo,Carlos Morales Pertuz,Nydia Alexandra Rojas Avila,Milena Flores Cardenas
Revista de Salud Pública.2018;20(3)354
[DOI]
4Predicción espacio-temporal probabilista de la epidemia de dengue total y grave en Colombia
Sudip Singh
Revista de Salud Pública.2021;20(3)34
[DOI]
5Dengue outbreaks: unpredictable incidence time series
A.F.B. Gabriel,A.P. Alencar,S.G.E.K. Miraglia
Epidemiology and Infection.2019;147(3)34
[DOI]
6Simple Statistical Analysis Method for Meat Inspection Data Available with Web browser
Yasumoto ADACHI
Journal of the Japan Veterinary Medical Association.2021;74(8)514
[DOI]
7Simple Statistical Analysis Method for Meat Inspection Data Available with Web browser
Asha A. Bharambe,Dhananjay R. Kalbande
Journal of the Japan Veterinary Medical Association.2016;74(8)100
[DOI]
8An Insight Investigation of Dengue in a Tertiary Care Teaching Hospital, West Bengal
Arnab Mandal,Tapati Mondal,Puronjay Saha,Poulami Saha,Arup Roy,Pratip Kundu
Journal of Pure and Applied Microbiology.2017;11(3)1617
[DOI]
9An Insight Investigation of Dengue in a Tertiary Care Teaching Hospital, West Bengal
Pratip Kurnianingsih,Anindya Wirasatriya,Lutfan Lazuardi,Naoyuki Kubota,Nawi Ng
Journal of Pure and Applied Microbiology.2020;11(3)1
[DOI]
10Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs
Yasumoto ADACHI,Kohei MAKITA
Journal of Veterinary Medical Science.2015;77(9)1129
[DOI]
11ANALYTICAL STUDY OF VIRAL FEVER CASES ADMITTED IN A TERTIARY CARE HOSPITAL, NELLORE, A.P.
Cherukuri Nirmala,Moturi Ratna Manjula,Chinta Lakshmi Prasanna,Gottumukkala Ravi Prabhu
Journal of Evolution of Medical and Dental Sciences.2016;5(67)4774
[DOI]
12ANALYTICAL STUDY OF VIRAL FEVER CASES ADMITTED IN A TERTIARY CARE HOSPITAL, NELLORE, A.P.
Abdul Jalil Niazai,Abdullah Zahirzada,Mohammad Akbar Shahpoor,Abdul Rahman Safi
Journal of Evolution of Medical and Dental Sciences.2020;5(67)1
[DOI]
13Forecasting the morbidity and mortality of dengue fever in KSA: A time series analysis (2006–2016)
Wajd A. Abualamah,Naeema A. Akbar,Hussain S. Banni,Mohammed A. Bafail
Journal of Taibah University Medical Sciences.2021;16(3)448
[DOI]
14Method of Time Series Analysis of Meat Inspection Data Using Seasonal Autoregressive Integrated Moving Average Model
Yasumoto ADACHI,Kohei MAKITA
Journal of the Japan Veterinary Medical Association.2015;68(3)189
[DOI]
15Applications of Box-Jenkins (Seasonal ARIMA) and GARCH models to dengue incidence in Thailand
Chompunooch Thamanukornsri,Montip Tiensuwan
Model Assisted Statistics and Applications.2018;13(2)95
[DOI]
16Applications of Box-Jenkins (Seasonal ARIMA) and GARCH models to dengue incidence in Thailand
Clarenz B. Magsakay,Nora U. De Vera,Criselda P. Libatique,Rizavel C. Addawe,Joel M. Addawe
Model Assisted Statistics and Applications.2017;1905(2)050028
[DOI]
17Application of time series methods for dengue cases in North India (Chandigarh)
Kumar Shashvat,Rikmantra Basu,Amol P. Bhondekar
Journal of Public Health.2021;29(2)433
[DOI]
18Application of time series methods for dengue cases in North India (Chandigarh)
Zimeng Lyu,Travis Desell
Journal of Public Health.2022;29(2)659
[DOI]
19A Prediction Method for Animal-Derived Drug Resistance Trend Using a Grey-BP Neural Network Combination Model
Xinxing Li,Ziyi Zhang,Ding Xu,Congming Wu,Jianping Li,Yongjun Zheng
Antibiotics.2021;10(6)692
[DOI]
20Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico
Michael A. Johansson,Nicholas G. Reich,Aditi Hota,John S. Brownstein,Mauricio Santillana
Scientific Reports.2016;6(1)692
[DOI]
21Prediction of visceral leishmaniasis incidence using the Seasonal Autoregressive Integrated Moving Average model (SARIMA) in the state of Maranhão, Brazil
K. B. A. Pimentel,R. S. Oliveira,C. F. Aragão,J. Aquino Júnior,M. E. S. Moura,A. S. Guimarães-e-Silva,V. C. S. Pinheiro,E. G. R. Gonçalves,A. R. Silva
Brazilian Journal of Biology.2024;84(1)692
[DOI]
22Prediction of visceral leishmaniasis incidence using the Seasonal Autoregressive Integrated Moving Average model (SARIMA) in the state of Maranhão, Brazil
Chiung Ching Ho,Choo-Yee Ting
Brazilian Journal of Biology.2015;9429(1)51
[DOI]
23Dengue Epidemics Prediction: A Survey of the State-of-the-Art Based on Data Science Processes
P. Siriyasatien,S. Chadsuthi,K. Jampachaisri,K. Kesorn
IEEE Access.2018;6(1)53757
[DOI]
24Effects of climatic and social factors on dengue incidence in Mexican municipalities in the state of Veracruz
Grea Litai Moreno-Banda,Horacio Riojas-Rodríguez,Magali Hurtado-Díaz,Rogelio Danis-Lozano,Stephen Joel Rothenberg
Salud Pública de México.2017;59(1)41
[DOI]
25Time Series Analysis of Dengue Hemorrhagic Fever Cases and Climate: a Model for Dengue Prediction.
F A Siregar,Tri Makmur
Journal of Physics: Conference Series.2019;1235(1)012072
[DOI]
26Time Series Analysis of Dengue Hemorrhagic Fever Cases and Climate: a Model for Dengue Prediction.
Duc Nghia Pham,Tarique Aziz,Ali Kohan,Syahrul Nellis,Juraina binti Abd. Jamil,Jing Jing Khoo,Dickson Lukose,Sazaly AbuBakar,Abdul Sattar,Hong Hoe Ong
Journal of Physics: Conference Series.2018;1235(1)1
[DOI]
27A Weighted Ensemble Model for Prediction of Infectious Diseases
Kumar Shashvat,Rikmantra Basu,Amol P. Bhondekar,Arshpreet Kaur
Current Pharmaceutical Biotechnology.2019;20(8)674
[DOI]
28A Weighted Ensemble Model for Prediction of Infectious Diseases
Jutatip Sillabutra,Pichitpong Soontornpipit,Chukiat Viwatwongkasem,Pratana Satitvipawee,Sadiporn Phuthomdee
Current Pharmaceutical Biotechnology.2018;20(8)1
[DOI]
29Forecasting dengue hemorrhagic fever cases using ARIMA model: a case study in Asahan district
Fazidah A Siregar,Tri Makmur,S Saprin
IOP Conference Series: Materials Science and Engineering.2018;300(8)012032
[DOI]
30Application of a Novel Grey Self-Memory Coupling Model to Forecast the Incidence Rates of Two Notifiable Diseases in China: Dysentery and Gonorrhea
Xiaojun Guo,Sifeng Liu,Lifeng Wu,Lingling Tang,Hiroshi Nishiura
PLoS ONE.2014;9(12)e115664
[DOI]
31Assessing the Effect of Climate Variables on the Incidence of Dengue Cases in the Metropolitan Region of Panama City
Vicente Navarro Valencia,Yamilka Díaz,Juan Miguel Pascale,Maciej F. Boni,Javier E. Sanchez-Galan
International Journal of Environmental Research and Public Health.2021;18(22)12108
[DOI]
  Feedback 
  Subscribe 

Subscribe this journal
Submit articles
Most popular articles
Joiu us as a reviewer
Email alerts
Recommend this journal