Time series analysis of malaria in Kumasi: Using ARIMA models to forecast future incidence-Reference-Cited by-同舟云学术

Time series analysis of malaria in Kumasi: Using ARIMA models to forecast future incidence

Published:2018-01-01 Issue:1 Volume:4 Page:1461544
ISSN:2331-1886
Container-title:Cogent Social Sciences
language:en
Short-container-title:Cogent Social Sciences

Author:

Anokye Reindolf¹^ORCID,Acheampong Enoch¹,Owusu Isaac¹,Isaac Obeng Edmund²

Affiliation:

1. Centre for Disability and Rehabilitation Studies, Department of Community Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

2. Department of Marketing, Methodist University College, Ghana

Publisher

Informa UK Limited

Subject

General Social Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311886.2018.1461544

Reference43 articles.

1. Knowledge of malaria prevention among pregnant women and female caregivers of under-five children in rural southwest Nigeria

2. Developing global climate anomalies suggest potential disease risks for 2006 – 2007

3. Population and Land Use Effects on Malaria Prevalence in the Southern Brazilian Amazon

4. Temporal correlation between malaria and rainfall in Sri Lanka

5. Comparative Risk Assessment of the Burden of Disease from Climate Change

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