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Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria
by
Yashe, Rimamdeyati Usman
, Abubakar, Ibrahim
, Donnelly, Christl A.
, Oladele, Saliu H.
, Dan-Nwafor, Chioma C.
, Attfield, Lauren A.
, Redding, David W.
, Iniobong, Akanimo
, Amedu, Michael O.
, Ihekweazu, Chikwe
, Ilori, Elsie A.
, Jones, Kate E.
, Gibb, Rory
in
631/114/2397
/ 631/158/1469
/ 692/308/174
/ 692/699/255/2514
/ Animals
/ Climate
/ Climate variability
/ Disease Reservoirs - virology
/ Epidemiological Monitoring
/ Fever
/ Geographical distribution
/ Geography
/ Health planning
/ Health surveillance
/ Hemorrhagic fever
/ Humanities and Social Sciences
/ Humans
/ Incidence
/ Lassa fever
/ Lassa Fever - epidemiology
/ Lassa Fever - transmission
/ Lassa Fever - virology
/ Lassa virus - pathogenicity
/ multidisciplinary
/ Murinae - virology
/ Nigeria - epidemiology
/ Poverty
/ Prediction models
/ Predictions
/ Public health
/ Retrospective Studies
/ Rodents
/ Science
/ Science (multidisciplinary)
/ Social factors
/ Spatio-Temporal Analysis
/ Surveillance
/ Urbanization
2021
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Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria
by
Yashe, Rimamdeyati Usman
, Abubakar, Ibrahim
, Donnelly, Christl A.
, Oladele, Saliu H.
, Dan-Nwafor, Chioma C.
, Attfield, Lauren A.
, Redding, David W.
, Iniobong, Akanimo
, Amedu, Michael O.
, Ihekweazu, Chikwe
, Ilori, Elsie A.
, Jones, Kate E.
, Gibb, Rory
in
631/114/2397
/ 631/158/1469
/ 692/308/174
/ 692/699/255/2514
/ Animals
/ Climate
/ Climate variability
/ Disease Reservoirs - virology
/ Epidemiological Monitoring
/ Fever
/ Geographical distribution
/ Geography
/ Health planning
/ Health surveillance
/ Hemorrhagic fever
/ Humanities and Social Sciences
/ Humans
/ Incidence
/ Lassa fever
/ Lassa Fever - epidemiology
/ Lassa Fever - transmission
/ Lassa Fever - virology
/ Lassa virus - pathogenicity
/ multidisciplinary
/ Murinae - virology
/ Nigeria - epidemiology
/ Poverty
/ Prediction models
/ Predictions
/ Public health
/ Retrospective Studies
/ Rodents
/ Science
/ Science (multidisciplinary)
/ Social factors
/ Spatio-Temporal Analysis
/ Surveillance
/ Urbanization
2021
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Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria
by
Yashe, Rimamdeyati Usman
, Abubakar, Ibrahim
, Donnelly, Christl A.
, Oladele, Saliu H.
, Dan-Nwafor, Chioma C.
, Attfield, Lauren A.
, Redding, David W.
, Iniobong, Akanimo
, Amedu, Michael O.
, Ihekweazu, Chikwe
, Ilori, Elsie A.
, Jones, Kate E.
, Gibb, Rory
in
631/114/2397
/ 631/158/1469
/ 692/308/174
/ 692/699/255/2514
/ Animals
/ Climate
/ Climate variability
/ Disease Reservoirs - virology
/ Epidemiological Monitoring
/ Fever
/ Geographical distribution
/ Geography
/ Health planning
/ Health surveillance
/ Hemorrhagic fever
/ Humanities and Social Sciences
/ Humans
/ Incidence
/ Lassa fever
/ Lassa Fever - epidemiology
/ Lassa Fever - transmission
/ Lassa Fever - virology
/ Lassa virus - pathogenicity
/ multidisciplinary
/ Murinae - virology
/ Nigeria - epidemiology
/ Poverty
/ Prediction models
/ Predictions
/ Public health
/ Retrospective Studies
/ Rodents
/ Science
/ Science (multidisciplinary)
/ Social factors
/ Spatio-Temporal Analysis
/ Surveillance
/ Urbanization
2021
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Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria
Journal Article
Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria
2021
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Overview
Lassa fever is a longstanding public health concern in West Africa. Recent molecular studies have confirmed the fundamental role of the rodent host (
Mastomys natalensis
) in driving human infections, but control and prevention efforts remain hampered by a limited baseline understanding of the disease’s true incidence, geographical distribution and underlying drivers. Here, we show that Lassa fever occurrence and incidence is influenced by climate, poverty, agriculture and urbanisation factors. However, heterogeneous reporting processes and diagnostic laboratory access also appear to be important drivers of the patchy distribution of observed disease incidence. Using spatiotemporal predictive models we show that including climatic variability added retrospective predictive value over a baseline model (11% decrease in out-of-sample predictive error). However, predictions for 2020 show that a climate-driven model performs similarly overall to the baseline model. Overall, with ongoing improvements in surveillance there may be potential for forecasting Lassa fever incidence to inform health planning.
Lassa Fever is a rodent-borne viral haemorrhagic fever that is a public health problem in West Africa. Here, the authors develop a spatiotemporal model of the socioecological drivers of disease using surveillance data from Nigeria, and find evidence of climate sensitivity.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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