Population Enumeration and Household Utilization Survey Methods in the Enterics for Global Health (EFGH): <i>Shigella</i> Surveillance Study.

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Dodd, Ryan, Awuor, Alex O, Garcia Bardales, Paul F, Khanam, Farhana, Mategula, Donnie, Onwuchekwa, Uma, Sarwar, Golam, Yousafzai, Mohammad Tahir ORCID: 0000-0001-8840-8323, Ahmed, Naveed, Atlas, Hannah E et al (show 38 more authors) , Amirul Islam Bhuiyan, Md, Colston, Josh M, Conteh, Bakary ORCID: 0000-0003-0701-2701, Diawara, Manan, Dilruba, Nasrin, Elwood, Sarah, Fatima, Irum, Feutz, Erika, Galagan, Sean R, Haque, Shahinur, Taufiqul Islam, Md, Karim, Mehrab, Keita, Belali, Kosek, Margaret N, Kotloff, Karen L, Lefu, Clement, Mballow, Mamadou, Ndalama, Maureen, Ndeketa, Latif ORCID: 0000-0002-3376-597X, Ogwel, Billy, Okonji, Caleb, Paredes Olortegui, Maribel, Pavlinac, Patricia B, Pinedo Vasquez, Tackeshy, Platts-Mills, James A, Qadri, Firdausi, Qureshi, Sonia, Rogawski McQuade, Elizabeth T, Sultana, Shazia, Traore, Moussa Oumar, Cunliffe, Nigel A ORCID: 0000-0002-5449-4988, Jahangir Hossain, M, Omore, Richard, Qamar, Farah Naz, Tapia, Milagritos D, Peñataro Yori, Pablo, Zaman, K and McGrath, Christine J (2024) Population Enumeration and Household Utilization Survey Methods in the Enterics for Global Health (EFGH): <i>Shigella</i> Surveillance Study. Open forum infectious diseases, 11 (Suppl ). S17-S24.

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Abstract

<h4>Background</h4>Accurate estimation of diarrhea incidence from facility-based surveillance requires estimating the population at risk and accounting for case patients who do not seek care. The Enterics for Global Health (EFGH) <i>Shigella</i> surveillance study will characterize population denominators and healthcare-seeking behavior proportions to calculate incidence rates of <i>Shigella</i> diarrhea in children aged 6-35 months across 7 sites in Africa, Asia, and Latin America.<h4>Methods</h4>The Enterics for Global Health (EFGH) <i>Shigella</i> surveillance study will use a hybrid surveillance design, supplementing facility-based surveillance with population-based surveys to estimate population size and the proportion of children with diarrhea brought for care at EFGH health facilities. Continuous data collection over a 24 month period captures seasonality and ensures representative sampling of the population at risk during the period of facility-based enrollments. Study catchment areas are broken into randomized clusters, each sized to be feasibly enumerated by individual field teams.<h4>Conclusions</h4>The methods presented herein aim to minimize the challenges associated with hybrid surveillance, such as poor parity between survey area coverage and facility coverage, population fluctuations, seasonal variability, and adjustments to care-seeking behavior.

Item Type:	Article
Uncontrolled Keywords:	EFGH, Shigella, healthcare utilization survey, hybrid surveillance design, population enumeration
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Infection, Veterinary and Ecological Sciences
Depositing User:	Symplectic Admin
Date Deposited:	30 Apr 2024 08:26
Last Modified:	30 Apr 2024 08:26
DOI:	10.1093/ofid/ofae018
Open Access URL:	https://doi.org/10.1093/ofid/ofae018
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3180660