(Q32044576)

5 July 2017

title

Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data (English)

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5 July 2017

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5 July 2017

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5 July 2017

Rogers DJ

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5 July 2017

publication date

1 January 1998

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Transactions of the Royal Society of Tropical Medicine and Hygiene

5 July 2017

published in

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5 July 2017

volume

92

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5 July 2017

issue

1

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5 July 2017

page(s)

12-20

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Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission.

5 July 2017

cites work

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https://api.crossref.org/works/10.1016%2FS0035-9203%2898%2990936-1

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An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration

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Seasonal variation of paediatric diseases in The Gambia, west Africa

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7 January 2021

A malaria control trial using insecticide-treated bed nets and targeted chemoprophylaxis in a rural area of The Gambia, west Africa. 1. A review of the epidemiology and control of malaria in The Gambia, west Africa

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Mortality and morbidity from malaria among children in a rural area of The Gambia, West Africa

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7 January 2021

Comparison of two strategies for control of malaria within a primary health care programme in the Gambia

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7 January 2021

Remote sensing and disease control: past, present and future

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7 January 2021

Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease

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7 January 2021

Review article The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease

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https://api.crossref.org/works/10.1016%2FS0035-9203%2898%2990936-1

7 January 2021

Detection of Rift Valley fever viral activity in Kenya by satellite remote sensing imagery

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7 January 2021

Optical remote sensing of vegetation: Modeling, caveats, and algorithms

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7 January 2021

Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico

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7 January 2021

Predictions of adult Anopheles albimanus densities in villages based on distances to remotely sensed larval habitats.

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7 January 2021

Predictions of malaria vector distribution in Belize based on multispectral satellite data.

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7 January 2021

Monitoring trypanosomiasis in space and time

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7 January 2021

Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data

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7 January 2021

Canopy reflectance, photosynthesis and transpiration

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7 January 2021

In-hospital morbidity and mortality due to malaria-associated severe anaemia in two areas of Malawi with different patterns of malaria infection

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7 January 2021

Absence of seasonal variation in malaria parasitaemia in an area of intense seasonal transmission

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7 January 2021

Periodicity and space-time clustering of severe childhood malaria on the coast of Kenya

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7 January 2021

Relation between severe malaria morbidity in children and level of Plasmodium falciparum transmission in Africa

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7 January 2021

Mapping malaria risk in Africa: What can satellite data contribute?

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7 January 2021

African land-cover classification using satellite data

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7 January 2021

Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, Mexico

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https://api.crossref.org/works/10.1016%2FS0035-9203%2898%2990936-1

7 January 2021

Seasonality, malaria, and impact of prophylaxis in a West African village. II. Effect on birthweight

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7 January 2021

The ecology of malaria--as seen from Earth-observation satellites

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https://api.crossref.org/works/10.1016%2FS0035-9203%2898%2990936-1

7 January 2021

Red and photographic infrared linear combinations for monitoring vegetation

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https://api.crossref.org/works/10.1016%2FS0035-9203%2898%2990936-1

7 January 2021

10.1016/S0035-9203(98)90936-1

Identifiers

DOI

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5 July 2017

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