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spatio-temporal

Spatial and spatio-temporal methods for mapping malaria risk: a systematic review

October 7, 2020 - 15:54 -- Open Access
Author(s): 
Odhiambo JN, Kalinda C, Macharia PM, Snow RW, Sartorius B
Reference: 
BMJ Glob Health. 2020 Oct;5(10):e002919

Approaches in malaria risk mapping continue to advance in scope with the advent of geostatistical techniques spanning both the spatial and temporal domains. A substantive review of the merits of the methods and covariates used to map malaria risk has not been undertaken. Therefore, this review aimed to systematically retrieve, summarise methods and examine covariates that have been used for mapping malaria risk in sub-Saharan Africa (SSA).

Estimating spatio-temporal distributions of mosquito breeding pools in irrigated agricultural schemes: a case study at the Bwanje Valley Irrigation Scheme

January 27, 2020 - 13:28 -- Open Access
Author(s): 
April N. Frake, Willy Namaona, Edward D. Walker and Joseph P. Messina
Reference: 
Malaria Journal 2020 19:38, 22 January 2020

The association between irrigation and the proliferation of adult mosquitoes including malaria vectors is well known; however, irrigation schemes are treated as homogenous spatio-temporal units, with little consideration for how larval breeding varies across space and time. The objective of this study was to estimate the spatio-temporal distribution of pools of water facilitating breeding at the Bwanje Valley Irrigation Scheme (BVIS) in Malawi, Africa as a function of environmental and anthropogenic characteristics.

Childhood malaria case incidence in Malawi between 2004 and 2017: spatio-temporal modelling of climate and non-climate factors

January 7, 2020 - 15:07 -- Open Access
Author(s): 
James Chirombo, Pietro Ceccato, Rachel Lowe, Dianne J Terlouw, Madeleine C Thomson, Austin Gumbo, Peter J Diggle and Jonathan M Read
Reference: 
Malaria Journal 2020 19:5, 6 January 2020

Malaria transmission is influenced by a complex interplay of factors including climate, socio-economic, environmental factors and interventions. Malaria control efforts across Africa have shown a mixed impact. Climate driven factors may play an increasing role with climate change. Efforts to strengthen routine facility-based monthly malaria data collection across Africa create an increasingly valuable data source to interpret burden trends and monitor control programme progress. A better understanding of the association with other climatic and non-climatic drivers of malaria incidence over time and space may help guide and interpret the impact of interventions.

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