Preventing the cross‐border spread of zoonotic diseases: Multisectoral community engagement to characterize animal mobility—Uganda, 2020

Medley, Alexandra; Gasanani, Jonan; Nyolimati, Ceaser Adibaku; McIntyre, Elvira; Ward, Sarah; Okuyo, Bosco A; Kabiito, Duncan; Bender, Cristel; Jafari, Zainab; Lamorde, Mohammed; Babigumira, Peter Ahabwe; Nakiire, Lydia; Agwang, Constance; Merrill, Rebecca D.; Ndumu, Deo Birungi; Doris, Kiconco

doi:10.1111/zph.12823

Cited by 10 publications

(5 citation statements)

References 14 publications

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“…This was the case in Uganda, where a multisectoral community engaged in characterizing animal mobility to prevent the cross-border spread of zoonotic diseases. 34 As a further example, in 2007, China and Myanmar established cross-border malaria prevention and control measures, which effectively reduced the burden of malaria at the China-Myanmar border. 35 Consequently, it is imperative to encourage HICs to support funding and CB in LICs to strengthen the capacity for early detection of zoonotic disease and enhance the provision of pharmaceuticals, vaccines, and related resources.…”

Section: Discussionmentioning

confidence: 99%

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Sun,

Wan,

Agbana

et al. 2024

iScience

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Section: Discussionmentioning

confidence: 99%

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Sun,

Wan,

Agbana

et al. 2024

iScience

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“…While equities were partially captured by public health, veterinary and border colleagues, future iterations will formalize and expand stakeholder participation. Expanding stakeholders in an effort to balance representation may yield different outcomes during prioritization based on knowledge and firsthand experience, alleviate subjectivity, enhance transparency, and help join the natural and social sciences [ 28 , 29 ]. As the One Health approach continues to be embraced and implemented, countries and regions must make concerted efforts to expand involvement beyond the human, animal and environmental health sectors, incorporate non-traditional ministries and actors, and consider alternatives to top-down decision-making.…”

Section: Discussionmentioning

confidence: 99%

Assessing One Health capacities for transboundary zoonotic diseases at the Libya-Tunisia border

Miller,

Saadawi,

Hamouda

et al. 2024

One Health Outlook

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Background The dynamic nature of zoonotic emergence, spillover and spread necessitates multisectoral coordination beyond national borders to encompass cross-boundary and regional cooperation. Designated points of entry (POEs), specifically ground crossings, serve as critical locales for establishing and maintaining robust prevention, detection, notification, coordination, and response mechanisms to transboundary emerging and re-emerging disease threats. In order to better assess One Health capacities for transboundary zoonotic diseases (TZD) prevention, detection and response we adapted an existing tool, One Health Systems Assessment for Priority Zoonoses (OHSAPZ), for a cross-border, POE setting in North Africa. Methods The One Health Transboundary Assessment for Priority Zoonoses (OHTAPZ) tool was used to support prioritization of transboundary zoonoses and analyze operational capacities between national and subnational-level human and animal health stakeholders from Libya and Tunisia. Country partners jointly identified and prioritized five TZDs of concern. Case study scenarios for each priority pathogen were used to elicit current disease operations, as well as multisectoral and bilateral engagement networks. Finally, a gap analysis was performed to determine bilateral strengths and weaknesses to TZDs. Results The five priority TZDs jointly confirmed to undergo One Health assessment were avian influenza (low and high pathogenic strains); brucellosis; Rift Valley fever; Crimean-Congo hemorrhagic fever; and rabies. Using the qualitative information collected, a transboundary systems map schematic was developed outlining the movement of human patients, animals, diagnostic samples, and routes of communication and coordination both within and between countries for zoonotic diseases. Conclusions Analysis of current operations (prevention, detection, surveillance, laboratory capacity, quarantine/isolation, and response) and the resulting transboundary systems map schematic helped identify existing capacity strengths for certain priority pathogens, as well as challenges to timely information-sharing and coordination. We developed targeted recommendations to address these limitations for joint action planning between Libya and Tunisia.

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“…However, past work has identified high-animal-traffic sites across Uganda, such as livestock markets, illegal border crossings and trade sites, and migration hubs. 33 To account for proximity to one of these high-animal-traffic sites, we developed a covariate representing distance to the nearest high-animal-traffic site. Data for variables selected for inclusion in the final model were also ascertained for the most recently available complete year, which in our case was 2021.…”

Section: Methodsmentioning

confidence: 99%

Geostatistical Modeling and Prediction of Rift Valley Fever Seroprevalence among Livestock in Uganda

Telford

Nyakarahuka

Waller

et al. 2023

The American Journal of Tropical Medicine and Hygiene

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Uganda reported cases of Rift Valley fever virus (RVFV) for the first time in almost 50 years in 2016, following an outbreak of Rift Valley fever (RVF) that caused four human infections, two of which resulted in death. Subsequent outbreak investigation serosurveys found high seroprevalence of IgG antibodies without evidence of acute infection or IgM antibodies, suggesting the possibility of undetected RVFV circulation prior to the outbreak. After the 2016 outbreak investigation, a serosurvey was conducted in 2017 among domesticated livestock herds across Uganda. Sampling data were incorporated into a geostatistical model to estimate RVF seroprevalence among cattle, sheep, and goats. Variables resulting in the best fit to RVF seroprevalence sampling data included annual variability in monthly precipitation and enhanced vegetation index, topographic wetness index, log human population density percent increase, and livestock species. Individual species RVF seroprevalence prediction maps were created for cattle, sheep, and goats, and a composite livestock prediction was created based on the estimated density of each species across the country. Seroprevalence was greater in cattle compared with sheep and goats. Predicted seroprevalence was greatest in the central and northwestern quadrant of the country, surrounding Lake Victoria, and along the Southern Cattle Corridor. We identified areas that experienced conditions conducive to potential increased RVFV circulation in 2021 in central Uganda. An improved understanding of the determinants of RVFV circulation and locations with high probability of elevated RVF seroprevalence can guide prioritization of disease surveillance and risk mitigation efforts.

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Preventing the cross‐border spread of zoonotic diseases: Multisectoral community engagement to characterize animal mobility—Uganda, 2020

Cited by 10 publications

References 14 publications

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Global One Health index for zoonoses: A performance assessment in 160 countries and territories

Assessing One Health capacities for transboundary zoonotic diseases at the Libya-Tunisia border

Geostatistical Modeling and Prediction of Rift Valley Fever Seroprevalence among Livestock in Uganda

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