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Coupling Vector-host Dynamics with Weather Geography andMitigation Measures to Model Rift Valley Fever in Africa

Published online by Cambridge University Press:  24 April 2014

B.H. McMahon ,
C.A. Manore ,
J.M. Hyman ,
M.X. LaBute  and
J.M. Fair
B.H. McMahon
Affiliation:
Los Alamos National Laboratory, Theoretical Biology and Biophysics, Los Alamos, NM 87545
C.A. Manore
Affiliation:
Department of Mathematics, Tulane University, New Orleans, LA 70118 Center for Computational Science, Tulane University, New Orleans, LA 70118
J.M. Hyman
Affiliation:
Department of Mathematics, Tulane University, New Orleans, LA 70118
M.X. LaBute
Affiliation:
Lawrence Livermore National Laboratory , Applied Statistics Group - Computational Engineering Division, Mailstop L-174, 7000 East Ave. Livermore, CA 94550
J.M. Fair*
Affiliation:
Los Alamos National Laboratory, Environmental Stewardship, K404, Los Alamos, NM 87545
*
⋆Corresponding author. E-mail: [email protected]
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Abstract

We present and characterize a multi-host epidemic model of Rift Valley fever (RVF) virusin East Africa with geographic spread on a network, rule-based mitigation measures, andmosquito infection and population dynamics. Susceptible populations are depleted bydisease and vaccination and are replenished with the birth of new animals. We observe thatthe severity of the epidemics is strongly correlated with the duration of the rainy seasonand that even severe epidemics are abruptly terminated when the rain stops. Becausenaturally acquired herd immunity is established, total mortality across 25 years isrelatively insensitive to many mitigation approaches. Strong reductions in cattlemortality are expected, however, with sufficient reduction in population densities ofeither vectors or susceptible (ie. unvaccinated) hosts. A better understanding of RVFepidemiology would result from serology surveys to quantify the importance of herdimmunity in epidemic control, and sequencing of virus from representative animals toquantify the realative importance of transportation and local reservoirs in nucleatingyearly epidemics. Our results suggest that an effective multi-layered mitigation strategywould include vector control, movement control, and vaccination of young animals yearly,even in the absence of expected rainfall.

Keywords

epidemiologyrift valley fevermitigationvaccinationgeographyweathernetwork model
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 9 , Issue 2: Epidemics models on networks , 2014 , pp. 161 - 177
Copyright
© EDP Sciences, 2014

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References

Andriamandimby, S.F., Randrianarivo-Solofoniaina, A.E., Jeanmaire, E.M., Ravololomanana, L., Razafimanantsoa, L.T.. Rift Valley Fever during Rainy Seasons, Madagascar, 2008 and 2009. Emerging Infectious Diseases. 16 (2010), no. 6, 963–970. CrossRefGoogle ScholarPubMed
Anyamba, A., Chretien, J.P., Small, J., Tucker, C.J., Formenty, P.B.. Prediction of a Rift Valley fever outbreak. PNAS. USA, 106 (2009), no. 3, 955–959. CrossRefGoogle Scholar
Ba, Y., Diallo, D., Dia, I., Diallo, M.. Feeding pattern of Rift Valley Fever virus vectors in Senegal. Implications in the disease epidemiology. Bull Soc Pathol Exot. 99 (2006), 283–9. Google Scholar
Ba, Y., Diallo, D., Kebe, C.M.F., Dia, I., Diallo, M.. Aspects of bioecology of two rift valley fever virus vectors in Senegal (West Africa): Aedes vexans and Culex poicilipes (Diptera : Culicidae). Journal of Medical Entomology. 42 (2005), 739–750. CrossRefGoogle Scholar
Bird, B.H., Ksiazek, T.G., Nichol, S.T., Maclachlan, N.J.. Rift Valley fever virus. J. Am. Vet. Med. Assoc. 234 (2009), 883–893. CrossRefGoogle ScholarPubMed
Boshra, H., Lorenzo, G., Busquets, N., BrunA, A.. Rift Valley Fever: Recent Insights into Pathogenesis and Prevention. J. of Virol. 85 (2011), 6098–6105. CrossRefGoogle Scholar
Center for International Earth Science Information Network (CIESIN)/Columbia University, and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World, Version 3 (GPWv3): Population Density Grid, Future Estimates. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/gpw-v3-population-density-future-estimates. Accessed October, 2010.
Chevalier, V., De La Rocque, S., Baldet, T., Vial, L., Roger, F.. Epidemiological processes involved in the emergence of vector-borne diseases: West Nile fever, Rift Valley fever, Japanese encephalitis and Crimean-Congo haemorrhagic fever. Revue scientifique et technique. 23 (2004), 535–555. CrossRefGoogle ScholarPubMed
Chevalier, V., Pepin, M., Plee, L., Lancelot, R.. Rift Valley fever - a threat for Europe? Eurosurveillance. 15 (2010), no. 10, 18–28. Google ScholarPubMed
Chitnis, N.C., Hyman, J.M., Manore, C.A.. Modelling vertical transmission in vector-borne diseases with applications to Rift Valley fever. J. of Biol. Dyn. 7 (2013), 11–40. CrossRefGoogle ScholarPubMed
Depinay, J.M., Mbogo, C.M., Killeen, G., Knols, B., Beier, J.. A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission. Malaria Journal. 3 (2004), 29. CrossRefGoogle Scholar
Diallo, M., Nabeth, P., Ba, K., Sall, A.A., Ba, Y.. Mosquito vectors of the 1998-1999 outbreak of Rift Valley Fever and other arboviruses (Bagaza, Sanar, Wesselsbron and West Nile) in Mauritania and Senegal. Medical and Veterinary Entomology. 19 (2005), 119–126. CrossRefGoogle ScholarPubMed
Ducatez, M.F., Olinger, C.M., Owoade, A.A., De Landtsheer, S., Ammerlaan, W.. Multiple introductions of H5N1 in Nigeria - Phylogenetic analysis reveals that this deadly virus first arrived in Africa from different sources. Nature. 442 (2006), 37–37. CrossRefGoogle Scholar
Evans, A., Gakuya, F., Paweska, J.T., Rostal, M., Akoolo, L.. Prevalence of antibodies against Rift Valley fever virus in Kenyan wildlife. Epidemiology and Infection. 136 (2008), 1261–1269. CrossRefGoogle ScholarPubMed
Crabtree, M.B., Kading, R.C., Mutebi, J.P., Lutwama, J.J., Miller, B.R.. Identification of host blood from engorged mosquitoes collected in western Uganda using cytochrome oxidase I gene sequences. J. Wildlife Dis. 49 (2013), 611–626. CrossRefGoogle ScholarPubMed
C.A. Manore, B.R. Beechler. Interepidemic persistence of Rift Valley fever: vertical transmission or cryptic cycling? Transboundary and Emerging Diseases; 2013, DOI: 10.1111/tbed.12082.
FAO, Geonetwork. Predicted global cattle density (2005), corrected for unsuitability, adjusted to match observed totals. avalable at http://www.fao.org/geonetwork/srv/en/metadata.show?id=12713, accessed October, 2010.
F. Fenner, D.H. Henderson, I. Arita, Z. Jezek, I.A. Ladnyi. Smallpox and its Eradication World Health Organization, Geneva (1988) (freely available at http://biotech.law.lsu.edu/blaw/bt/smallpox/who/red-book/index.htm).
Gaff, H., Burgess, C., Jackson, J., Niu, T., Papelis, Y.. Mathematical model to assess the relative effectiveness of Rift Valley Fever countermeasures. Int. J. Artificial Life Res. 2 (2011), no. 2, 1–18. CrossRefGoogle Scholar
Gao, D., Cosner, C., Cantrell, R.S., Beier, J.C., Ruan, S.. Modeling the Spatial Spread of Rift Valley Fever in Egypt. Bul. Math. Biol. 75 (2013), 523-542. CrossRefGoogle ScholarPubMed
Gargan, T.P. 2nd, Jupp, P.G., Novak, R.J.. Panveld oviposition sites of floodwater Aedes mosquitoes and attempts to detect transovarial transmission of Rift Valley fever virus in South Africa. Med Vet Entomol. 2 (1998), 231–236. CrossRefGoogle ScholarPubMed
Goswami, P., Murty, U.S., Mutheneni, S.R., Kukkuthady, A., Krishnan, S.T.. A model of malaria epidemiology involving weather, exposure, and transmission applied to North East India. PLOS ONE 7 (2012), e49713. CrossRefGoogle ScholarPubMed
Graw, F., Leitner, T., Ribeiro, R.M.. Agent-based and phylogenetic analyses reveal how HIV-1 moves between risk groups: injecting drug users sustain the heterosexual epidemic in Latvia. Epidemics. 4 (2012), no. 2, 104–116. CrossRefGoogle ScholarPubMed
Hansen, M., DeFries, R., Townshend, J.R.G., Sohlberg, R.. Global land cover classification at 1km resolution using a decision tree classifier. Int. J. Rem. Sens. 21 (2000), 1331-1365. Accessed from http://www.landcover.org/data/landcover/ in October, 2010. CrossRefGoogle Scholar
Hightower, A., Kinkade, C., Nguku, P.M., Anyangu, A., Mutonga, D., Omolo, J., Kariuki Njenga, M., Feikin, D.R., Schnabel, D., Ombok, M., Breiman, R.F.. Relationship of Climate, Geography, and Geology to the Incidence of Rift Valley Fever in Kenya during the 2006-2007 Outbreak. Am. J. Trop. Med. Hyg. 86 (2012), no. 2, 373–2380. CrossRefGoogle ScholarPubMed
Holdo, R.M., Holt, R.D., Fryxell, J.M.. Opposing rainfall and plant nutritional gradients best explain the wildebeest migration in the Serengeti. Am. Nat. 173 (2009), 431–445. CrossRefGoogle Scholar
Hoogstraal, H., Meegan, J.M., Khalil, G.M., Adham, F.K.. Rift-valley fever epizootic in Egypt 1977-78 .2. ecological and entomological studies. Transactions of the Royal Society of Tropical Medicine and Hygiene. 73 (1979), no. 6, 624–629. CrossRefGoogle ScholarPubMed
R. Hughes-Fraire, A. Hagerman, B. McCarl, H. Gaff. Rift Valley Fever: An Economic Assessment of Agricultural and Human Vulnerability. presented at the Southern Agricultural Economics Association Annual Meeting, Corpus Christi, TX, February 5-8, 2011.
Ikegami, T.. Molecular biology and genetic diversity of Rift Valley fever virus. Antiviral Research. 95 (2012), 293–310. CrossRefGoogle ScholarPubMed
Kasari, T.R., Carr, D.A., Lynn, T.V., Weaver, J.T.. Evaluation of pathways for release of Rift Valley fever virus into domestic ruminant livestock, ruminant wildlife, and human populations in the continental United States. Javma-Journal of the American Veterinary Medical Association. 232 (2008), no. 4, 514–529. CrossRefGoogle Scholar
T.M. Lund, B. Lindtjorn. Cattle and climate in Africa: How climate variability has influenced national cattle holdings from 1961–2008. PeerJ. 1, (2013), e55 DOI 10.7717/peerj55.
Manore, C.A., McMahon, B.H., Fair, J.M., Hyman, J.M., Brown, M.. Disease properties, geography, and mitigation strategies in a simulation spread of rinderpest across the United States. Vet. Res. 42 (2011), 1–55. CrossRefGoogle Scholar
Martin, V., Chevalier, V., Ceccato, P.N., Anyamba, A., De Simone, L., Lubroth, J., de La Rocque, S., Domenech, J.. The impact of climate change on the epidemiology and control of Rift Valley fever. Revue Scientifique et Technique. 27 (2008), 413–426. CrossRefGoogle Scholar
Metras, R., Collins, L.M., White, R.G., Alonso, S., Chevalier, V.. Rift Valley Fever Epidemiology, Surveillance, and Control: What Have Models Contributed? Vector-borne and Zoonotic Diseases. 11 (2011), 761–771. CrossRefGoogle ScholarPubMed
MMWR, Rift Valley fever outbreak: Kenya, November, 2006 - January, 2007. M.a.M. Report. (2007), 73–76.
Mpeshe, S.C., Haario, H., Tchuenche, J.M.. A mathematical model of Rift Valley Fever with human host. Acta Biotheoretica. 59 (2011), 3-4, 231–250. CrossRefGoogle ScholarPubMed
Pattnaik, B., Pateriya, A.K., Khandia, R., Tosh, C., Nagarajan, S.. Phylogenetic analysis revealed genetic similarity of the H5N1 avian influenza viruses isolated from HPAI outbreaks in chickens in Maharashtra, India with those isolated from swan in Italy and Iran in 2006. Current Science. 91, (2006), 77–81. Google Scholar
Pepin, M., Bouloy, M., Bird, B.H., Kemp, A., Paweska, J.. Rift Valley fever virus (Bunyaviridae: Phlebovirus): an update on pathogenesis, molecular epidemiology, vectors, diagnostics and prevention. Vet. Res. 41, no. 6, (2010), 61. CrossRefGoogle Scholar
Schaeffer, B., Mondet, B., Touzeau, S.. Using a climate dependent matrix model to predict mosquito abundance: Application to Aedes (Stegomyia) africanus and Aedes (Diceromyia) furcifer (Diptera : Culicidae), two main vectors of the yellow fever virus in West Africa. Infection Genetics and Evolution. 8 (2008), no. 4, S45-S45. CrossRefGoogle Scholar
Shaman, J., Day, J.F.. Reproductive Phase Locking of Mosquito Populations in Response to Rainfall Frequency. PLoS ONE. 2 (2007), no. 3, e331. CrossRefGoogle ScholarPubMed
Soti, V., Tran, A., Degenne, P., Chevalier, V., Seen, D.L.. Combining hydrology and mosquito population models to identify the drivers of Rift Valley Fever emergence in semi-arid regions of West Africa PLOS Negl. Trop. Diseases. 6 (2012), e1795. CrossRefGoogle Scholar
Tildesley, M.J., Savill, N.J., Shaw, D.J., Deardon, R., Brooks, S.P.. Optimal reactive vaccination strategies for a foot-and-mouth outbreak in the UK Nature. 440 (2006), no. 7080, 83–86. CrossRefGoogle ScholarPubMed
Tildesley, M.J., House, T.A., Bruhn, M.C., Curry, R.J., O’Neil, M.. Impact of spatial clustering on disease transmission and optimal control. PNAS. USA, 107 (2010), 1041–1046. CrossRef
Turell, M.J., Rossi, C.A., Bailey, C.L.. Effect of extrinsic incubation-temperature on the ability of Aedes taeniorhynchus and Culex pipiens to transmit Rift Valley fever virus. Am. J. of Trop. Med. and Hyg. 34 (1985), no. 6, 1211–1218. CrossRefGoogle Scholar
Turell, M.J., Dohm, D.J., Mores, C.N., Terracina, L., Wallette, D.L. Jr. Potential for North American mosquitoes to transmit Rift Valley fever virus. J. Am. Mosq. Cont. Ass. 24 (2008), no. 4, 502-507. CrossRefGoogle Scholar
USAID, Food security and nutrition working group, East Africa cross-border trade bulletin: October-December 2011. (2012), 1–4.
WHO. Rift Valley Fever Factsheet. 2013; Available from: http://www.who.int/mediacentre/factsheets/fs207/en/.
Xie, P., Arkin, P.A.. Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bul. Am. Met. Soc. 78 (1997), no. 11, 2539–2558. Data set available at http://earlywarning.usgs.gov/fews/africa/index.php and accessed in October, 2010. 2.0.CO;2>CrossRefGoogle Scholar
Xue, L., Scott, H.M., Cohnstaedt, L.W., Scoglio, C.. A network-based meta-population approach to model Rift Valley fever epidemics. Journal of Theoretical Biology. 306 (2012), 129–144. CrossRefGoogle Scholar