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Relevant bibliographies by topics / Hyperendemic

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Journal articles

Academic literature on the topic 'Hyperendemic'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Hyperendemic"

1

Manetti, A. C. "Hyperendemic urban blastomycosis." American Journal of Public Health 81, no. 5 (1991): 633–36. http://dx.doi.org/10.2105/ajph.81.5.633.

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2

Aranzazu, Nacarid, Juan J. Parra, Maritza Cardenas, et al. "Cojedes: a leprosy hyperendemic state." International Journal of Dermatology 51, no. 2 (2012): 186–94. http://dx.doi.org/10.1111/j.1365-4632.2011.05080.x.

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3

Larkin, G. L., and P. E. Thuma. "Congenital Malaria in a Hyperendemic Area." American Journal of Tropical Medicine and Hygiene 45, no. 5 (1991): 587–92. http://dx.doi.org/10.4269/ajtmh.1991.45.587.

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4

Ratti, Vardayani, and Dorothy I. Wallace. "A Malaria Transmission Model Predicts Holoendemic, Hyperendemic, and Hypoendemic Transmission Patterns Under Varied Seasonal Vector Dynamics." Journal of Medical Entomology 57, no. 2 (2019): 568–84. http://dx.doi.org/10.1093/jme/tjz186.

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Abstract A model is developed of malaria (Plasmodium falciparum) transmission in vector (Anopheles gambiae) and human populations that include the capacity for both clinical and parasite suppressing immunity. This model is coupled with a population model for Anopheles gambiae that varies seasonal with temperature and larval habitat availability. At steady state, the model clearly distinguishes uns hypoendemic transmission patterns from stable hyperendemic and holoendemic patterns of transmission. The model further distinguishes hyperendemic from holoendemic disease based on seasonality of infection. For hyperendemic and holoendemic transmission, the model produces the relationship between entomological inoculation rate and disease prevalence observed in the field. It further produces expected rates of immunity and prevalence across all three endemic patterns. The model does not produce mesoendemic transmission patterns at steady state for any parameter choices, leading to the conclusion that mesoendemic patterns occur during transient states or as a result of factors not included in this study. The model shows that coupling the effect of varying larval habitat availability with the effects of clinical and parasite-suppressing immunity is enough to produce known patterns of malaria transmission.

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5

Sanghavi, D. M., R. H. Gilman, A. s. G. Lescano-Guevara, W. Checkley, L. Z. Cabrera, and V. Cardenas. "Hyperendemic Pulmonary Tuberculosis in a Peruvian Shantytown." American Journal of Epidemiology 148, no. 4 (1998): 384–89. http://dx.doi.org/10.1093/oxfordjournals.aje.a009657.

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6

Uys, Pieter, Ben J. Marais, Simon Johnstone-Robertson, John Hargrove, and Robin Wood. "Transmission Elasticity in Communities Hyperendemic for Tuberculosis." Clinical Infectious Diseases 52, no. 12 (2011): 1399–404. http://dx.doi.org/10.1093/cid/cir229.

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7

Ezeh, Charles Ogbonna, Kenechukwu Chibuike Onyekwelu, Olaoluwa Phebian Akinwale, Lv Shan, and Hu Wei. "Urinary schistosomiasis in Nigeria: a 50 year review of prevalence, distribution and disease burden." Parasite 26 (2019): 19. http://dx.doi.org/10.1051/parasite/2019020.

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We reviewed survey data deposited in the Global Neglected Tropical Diseases database and many other articles on the prevalence and distribution of Schistosoma haematobium in Nigeria. Schistosoma haematobium surveys conducted over the period of 50 years under review using different diagnostic tools revealed that Ogun State has the highest prevalence, followed by Ekiti state, while the lowest prevalence was recorded in Adamawa. No incidence of Schistosoma haematobium was recorded for states such as Akwa Ibom, Bayelsa, Nasarawa, Jigawa and Gombe. In terms of endemicity, this review has shown that Nigeria is divided into four zones: hyperendemic, moderately endemic, low endemic, and no endemic zones. A survey of 47 (15%) of the 323 dams in Nigeria revealed that 45 out of the 47 dams are located in the hyperendemic zone, while the remaining two are located in the moderately endemic zone. Twenty (43%) of the total surveyed dams harboured Bulinus globosus and/or Biomphalaria pfeifferi, the local intermediate hosts of schistosomes, and 18 of these are located in the hyperendemic zone, while the other two are in the moderately endemic zone. We conclude that there is an urgent need to carry out a nationwide survey to help in planning, coordinating, and evaluating schistosomiasis control activities.

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8

Zielinski-Gutierrez, Emily C., and Kevin M. De Cock. "HIV control in hyperendemic communities in east Africa." Lancet HIV 6, no. 10 (2019): e643-e644. http://dx.doi.org/10.1016/s2352-3018(19)30241-3.

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9

Gasser, Robin B., Michael P. Reichel, and Roger A. Lyford. "Hyperendemic focus of echinococcosis in north‐eastern Victoria." Medical Journal of Australia 160, no. 8 (1994): 499–501. http://dx.doi.org/10.5694/j.1326-5377.1994.tb138315.x.

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10

GARCÍA, HÉCTOR H., NESTOR FALCON, TERESA BERNAL, et al. "HYPERENDEMIC HUMAN AND PORCINE TAENIA SOLIUM INFECTION IN PERÚ." American Journal of Tropical Medicine and Hygiene 68, no. 3 (2003): 268–75. http://dx.doi.org/10.4269/ajtmh.2003.68.268.

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