A systematic review of Rift Valley Fever epidemiology 1931–2014

Nanyingi, Mark; Munyua, Peninah; Kiama, Stephen G.; Muchemi, Gerald; Thumbi, Samuel M.; Bitek, Austine; Bett, Bernard K.; Muriithi, Reese M.; Njenga, M. Kariuki

doi:10.3402/iee.v5.28024

Cited by 169 publications

(189 citation statements)

References 71 publications

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“…Accurate prediction of the location and timing of epidemics, will require a combination of climatic risk together with detailed local serological and ecological information (Nanyingi et al, 2015). Furthermore, risk assessment must account quantitatively for both exposure via disease-enhancing environmental conditions, and vulnerability of an exposed population.…”

Section: Resultsmentioning

confidence: 99%

A dynamic, climate-driven model of Rift Valley fever

et al. 2016

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Outbreaks of Rift Valley fever (RVF) in eastern Africa have previously occurred following specific rainfall dynamics and flooding events that appear to support the emergence of large numbers of mosquito vectors. As such, transmission of the virus is considered to be sensitive to environmental conditions and therefore changes in climate can impact the spatiotemporal dynamics of epizootic vulnerability. Epidemiological information describing the methods and parameters of RVF transmission and its dependence on climatic factors are used to develop a new spatio-temporal mathematical model that simulates these dynamics and can predict the impact of changes in climate. The Liverpool RVF (LRVF) model is a new dynamic, process-based model driven by climate data that provides a predictive output of geographical changes in RVF outbreak susceptibility as a result of the climate and local livestock immunity. This description of the multi-disciplinary process of model development is accessible to mathematicians, epidemiological modellers and climate scientists, uniting dynamic mathematical modelling, empirical parameterisation and state-of-the-art climate information.

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Section: Resultsmentioning

confidence: 99%

A dynamic, climate-driven model of Rift Valley fever

et al. 2016

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“…In the past decades, arboviral diseases have emerged or re-emerged, with Zika, dengue, yellow fever, chikungunya, and RVF topping the list (Marcondes and de FF de Ximenes, 2016; Burt et al, 2012; Carlson et al, 2016; Bhatt et al, 2013; Charrel et al, 2014; Messina et al, 2016; Jentes et al, 2011; Nanyingi et al, 2015; Rogers et al, 2006). The epidemiology and host–vector dynamics of arboviral diseases are complex.…”

Section: Discussionmentioning

confidence: 99%

“…Especially over the past 30 years, the distribution and public health impact of these arboviruses have increased dramatically (Carlson et al, 2016; Hafiz et al, 2016; Bhatt et al, 2013; Charrel et al, 2014; Messina et al, 2016; Jentes et al, 2011; Nanyingi et al, 2015), due to the widespread distribution of their vectors paired with increases in trade and travel (Kraemer et al 2015c). A considerable number of studies have mapped the global or regional distribution of A. aegypti and A. albopictus , determined their ecological requirements, and described their habitats (Khormi and Kumar, 2014; Brady et al, 2013; Cianci et al, 2015; Rao et al, 1973; David et al, 2016; Brady et al, 2014; Li et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Global risk mapping for major diseases transmitted by Aedes aegypti and Aedes albopictus

Leta

Beyene

Clercq

et al. 2018

International Journal of Infectious Diseases

364

253

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Objectives The objective of this study was to map the global risk of the major arboviral diseases transmitted by Aedes aegypti and Aedes albopictus by identifying areas where the diseases are reported, either through active transmission or travel-related outbreaks, as well as areas where the diseases are not currently reported but are nonetheless suitable for the vector. Methods Data relating to five arboviral diseases (Zika, dengue fever, chikungunya, yellow fever, and Rift Valley fever (RVF)) were extracted from some of the largest contemporary databases and paired with data on the known distribution of their vectors, A. aegypti and A. albopictus. The disease occurrence data for the selected diseases were compiled from literature dating as far back as 1952 to as recent as 2017. The resulting datasets were aggregated at the country level, except in the case of the USA, where state-level data were used. Spatial analysis was used to process the data and to develop risk maps. Results Out of the 250 countries/territories considered, 215 (86%) are potentially suitable for the survival and establishment of A. aegypti and/or A. albopictus. A. albopictus has suitability foci in 197 countries/territories, while there are 188 that are suitable for A. aegypti. There is considerable variation in the suitability range among countries/territories, but many of the tropical regions of the world provide high suitability over extensive areas. Globally, 146 (58.4%) countries/territories reported at least one arboviral disease, while 123 (49.2%) reported more than one of the above diseases. The overall numbers of countries/territories reporting autochthonous vector-borne occurrences of Zika, dengue, chikungunya, yellow fever, and RVF, were 85, 111, 106, 43, and 39, respectively. Conclusions With 215 countries/territories potentially suitable for the most important arboviral disease vectors and more than half of these reporting cases, arboviral diseases are indeed a global public health threat. The increasing proportion of reports that include multiple arboviral diseases highlights the expanding range of their common transmission vectors. The shared features of these arboviral diseases should motivate efforts to combine interventions against these diseases.

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“…Regular outbreaks of RVFV have occurred throughout Africa for many years [2, 14], and the geographical range of RVFV is expanding due to climate change and human activity [14]. The occurrence of outbreaks of RVF is often associated with heavy rains and hydrographic changes, which result in the proliferation of mosquito vectors of RVFV [2, 15].…”

Section: Discussionmentioning

confidence: 99%

Severe Human Illness Caused by Rift Valley Fever Virus in Mauritania, 2015

Boushab

Fall-Malick

Baba³

et al. 2016

Open Forum Infectious Diseases

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Background.Rift Valley Fever epizootics are characterized by numerous abortions and mortality among young animals. In humans, the illness is usually characterized by a mild self-limited febrile illness, which could progress to more serious complications.Objectives. The aim of the present prospective study was to describe severe clinical signs and symptoms of Rift Valley Fever in southern Mauritania.Patients and methods.Suspected cases were enrolled in Kiffa (Assaba) and Aleg (Brakna) Hospital Centers from September 1 to November 7, 2015, based on the presence of fever, hemorrhagic or meningoencephalitic syndromes, and probable contact with sick animals. Suspected cases were confirmed by enzyme-linked immunosorbent assay (ELISA) and reverse transcriptase-polymerase chain reaction (RT-PCR).Results.There were thirty-one confirmed cases. The sex ratio M/F and the average age were 2.9 and 25 years old [range, 4-70 years old], respectively. Mosquito bites, direct contact with aborted or dead animals, and frequent ingestion of milk from these animals were risk factors observed in all patients. Hemorrhagic and neurological manifestations were observed in 81% and 13% of cases, respectively. The results of laboratory analysis showed high levels of transaminases, creatinine, and urea associated with thrombocytopenia, anemia, and leukopenia. All patients who died (42%) had a hemorrhagic syndrome and 3 of them had a neurological complication. Among the cured patients, none had neurologic sequelae.Conclusion.The hemorrhagic form was the most common clinical manifestation of RVF found in southern Mauritania and was responsible for a high mortality rate. Our results justify the implementation of a continuous epidemiological surveillance.

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A systematic review of Rift Valley Fever epidemiology 1931–2014

Cited by 169 publications

References 71 publications

A dynamic, climate-driven model of Rift Valley fever

A dynamic, climate-driven model of Rift Valley fever

Global risk mapping for major diseases transmitted by Aedes aegypti and Aedes albopictus

Severe Human Illness Caused by Rift Valley Fever Virus in Mauritania, 2015

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