Home > Research > Publications & Outputs > Routine data for malaria morbidity estimation i...

Research

Links

Text available via DOI:

Keywords

View graph of relations

Routine data for malaria morbidity estimation in Africa: challenges and prospects

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Routine data for malaria morbidity estimation in Africa: challenges and prospects. / Alegana, V.A.; Okiro, E.A.; Snow, R.W.
In: BMC Medicine, Vol. 18, No. 1, 121, 03.06.2020.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Alegana, VA, Okiro, EA & Snow, RW 2020, 'Routine data for malaria morbidity estimation in Africa: challenges and prospects', BMC Medicine, vol. 18, no. 1, 121. https://doi.org/10.1186/s12916-020-01593-y

APA

Alegana, V. A., Okiro, E. A., & Snow, R. W. (2020). Routine data for malaria morbidity estimation in Africa: challenges and prospects. BMC Medicine, 18(1), Article 121. https://doi.org/10.1186/s12916-020-01593-y

Vancouver

Alegana VA, Okiro EA, Snow RW. Routine data for malaria morbidity estimation in Africa: challenges and prospects. BMC Medicine. 2020 Jun 3;18(1):121. doi: 10.1186/s12916-020-01593-y

Author

Alegana, V.A. ; Okiro, E.A. ; Snow, R.W. / Routine data for malaria morbidity estimation in Africa : challenges and prospects. In: BMC Medicine. 2020 ; Vol. 18, No. 1.

Bibtex

@article{0108cca332c747999e766b5d128cdecb,
title = "Routine data for malaria morbidity estimation in Africa: challenges and prospects",
abstract = "BACKGROUND: The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented. CONCLUSION: Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens.",
keywords = "Malaria burden, Morbidity, Routine surveillance",
author = "V.A. Alegana and E.A. Okiro and R.W. Snow",
year = "2020",
month = jun,
day = "3",
doi = "10.1186/s12916-020-01593-y",
language = "English",
volume = "18",
journal = "BMC Medicine",
issn = "1741-7015",
publisher = "BIOMED CENTRAL LTD",
number = "1",

}

RIS

TY - JOUR

T1 - Routine data for malaria morbidity estimation in Africa

T2 - challenges and prospects

AU - Alegana, V.A.

AU - Okiro, E.A.

AU - Snow, R.W.

PY - 2020/6/3

Y1 - 2020/6/3

N2 - BACKGROUND: The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented. CONCLUSION: Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens.

AB - BACKGROUND: The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented. CONCLUSION: Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens.

KW - Malaria burden

KW - Morbidity

KW - Routine surveillance

U2 - 10.1186/s12916-020-01593-y

DO - 10.1186/s12916-020-01593-y

M3 - Journal article

C2 - 32487080

VL - 18

JO - BMC Medicine

JF - BMC Medicine

SN - 1741-7015

IS - 1

M1 - 121

ER -