Nyasatu Ntshalintshali
University of California
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Publication
Featured researches published by Nyasatu Ntshalintshali.
Malaria Journal | 2013
Kadiatou Koita; Joseph M Novotny; Simon Kunene; Zulizile Zulu; Nyasatu Ntshalintshali; Monica Gandhi; Roland Gosling
BackgroundSwaziland has made great progress towards its goal of malaria elimination by 2015. However, malaria importation from neighbouring high-endemic Mozambique through Swaziland’s eastern border remains a major factor that could prevent elimination from being achieved. In order to reach elimination, Swaziland must rapidly identify and treat imported malaria cases before onward transmission occurs.MethodsA nationwide formative assessment was conducted over eight weeks to determine if the imported cases of malaria identified by the Swaziland National Malaria Control Programme could be linked to broader social networks and to explore methods to access these networks.ResultsUsing a structured format, interviews were carried out with malaria surveillance agents (6), health providers (10), previously identified imported malaria cases (19) and people belonging to the networks identified through these interviews (25). Most imported malaria cases were Mozambicans (63%, 12/19) making a living in Swaziland and sustaining their families in Mozambique. The majority of imported cases (73%, 14/19) were labourers and self-employed contractors who travelled frequently to Mozambique to visit their families and conduct business. Social networks of imported cases with similar travel patterns were identified through these interviews. Nearly all imported cases (89%, 17/19) were willing to share contact information to enable network members to be interviewed. Interviews of network members and key informants revealed common congregation points, such as the urban market places in Manzini and Malkerns, as well as certain bus stations, where people with similar travel patterns and malaria risk behaviours could be located and tested for malaria.ConclusionThis study demonstrated that imported cases of malaria belonged to networks of people with similar travel patterns. This study may provide novel methods for screening high-risk groups of travellers using both snowball sampling and time-location sampling of networks to identify and treat additional malaria cases. Implementation of a proactive screening programme of importation networks may help Swaziland halt transmission and achieve malaria elimination by 2015.
eLife | 2015
Robert C. Reiner; Arnaud Le Menach; Simon Kunene; Nyasatu Ntshalintshali; Michelle S. Hsiang; T. Alex Perkins; Bryan Greenhouse; Andrew J. Tatem; Justin M. Cohen; David L. Smith
Eliminating malaria from a defined region involves draining the endemic parasite reservoir and minimizing local malaria transmission around imported malaria infections. In the last phases of malaria elimination, as universal interventions reap diminishing marginal returns, national resources must become increasingly devoted to identifying where residual transmission is occurring. The needs for accurate measures of progress and practical advice about how to allocate scarce resources require new analytical methods to quantify fine-grained heterogeneity in malaria risk. Using routine national surveillance data from Swaziland (a sub-Saharan country on the verge of elimination), we estimated individual reproductive numbers. Fine-grained maps of reproductive numbers and local malaria importation rates were combined to show ‘malariogenic potential’, a first for malaria elimination. As countries approach elimination, these individual-based measures of transmission risk provide meaningful metrics for planning programmatic responses and prioritizing areas where interventions will contribute most to malaria elimination. DOI: http://dx.doi.org/10.7554/eLife.09520.001
Malaria Journal | 2016
Devanand Moonasar; Rajendra Maharaj; Simon Kunene; Baltazar Candrinho; Francisco Saute; Nyasatu Ntshalintshali; Natashia Morris
The substantial impact of cross-border collaborative control efforts on the burden of malaria in southern Africa has previously been demonstrated through the successes of the Lubombo Spatial Development Initiative. Increases in malaria cases recorded in the three partner countries (Mozambique, South Africa, Swaziland) since termination of that programme in 2011 have provided impetus for the resuscitation of cooperation in the form of the MOSASWA malaria initiative. MOSASWA, launched in 2015, seeks to renew regional efforts to accelerate progress towards malaria elimination goals already established in the region. National malaria programmes, together with developmental partners, academic institutions and the private sector seek to harmonize policy, strengthen capacity, share expertise, expand access to elimination interventions particularly amongst migrant and border population groups, mobilize resources and advocate for long-term funding to ultimately achieve and sustain malaria elimination in the MOSASWA region.
Clinical Infectious Diseases | 2017
Nikhil Ranadive; Simon Kunene; Sarah Darteh; Nyasatu Ntshalintshali; Nomcebo Nhlabathi; Nomcebo Dlamini; Stanley Chitundu; Manik Saini; Maxwell Murphy; Adam Soble; Alanna Schwartz; Bryan Greenhouse; Michelle S. Hsiang
Summary In a low-endemicity/malaria elimination setting, we demonstrate limited sensitivity of Plasmodium falciparum–specific rapid diagnostic testing for suspected malaria, owing to unexpected low-density infections. Positive predictive value was also low, requiring further investigation. More accurate diagnostics may be needed.
Malaria Journal | 2017
Natalia Tejedor-Garavito; Nomcebo Dlamini; Deepa Pindolia; Adam Soble; Nick W. Ruktanonchai; Victor A. Alegana; Arnaud Le Menach; Nyasatu Ntshalintshali; Bongani Dlamini; David L. Smith; Andrew J. Tatem; Simon Kunene
BackgroundAs Swaziland progresses towards national malaria elimination, the importation of parasites into receptive areas becomes increasingly important. Imported infections have the potential to instigate local transmission and sustain local parasite reservoirs.MethodsTravel histories from Swaziland’s routine surveillance data from January 2010 to June 2014 were extracted and analysed. The travel patterns and demographics of rapid diagnostic test (RDT)-confirmed positive cases identified through passive and reactive case detection (RACD) were analysed and compared to those found to be negative through RACD.ResultsOf 1517 confirmed cases identified through passive surveillance, 67% reported travel history. A large proportion of positive cases reported domestic or international travel history (65%) compared to negative cases (10%). The primary risk factor for malaria infection in Swaziland was shown to be travel, more specifically international travel to Mozambique by 25- to 44-year old males, who spent on average 28 nights away. Maputo City, Inhambane and Gaza districts were the most likely travel destinations in Mozambique, and 96% of RDT-positive international travellers were either Swazi (52%) or Mozambican (44%) nationals, with Swazis being more likely to test negative. All international travellers were unlikely to have a bed net at home or use protection of any type while travelling. Additionally, paths of transmission, important border crossings and means of transport were identified.ConclusionResults from this analysis can be used to direct national and well as cross-border targeting of interventions, over space, time and by sub-population. The results also highlight that collaboration between neighbouring countries is needed to tackle the importation of malaria at the regional level.
Open Forum Infectious Diseases | 2017
Nomcebo Dlamini; Michelle S. Hsiang; Nyasatu Ntshalintshali; Deepa Pindolia; Regan Allen; Nomcebo Nhlabathi; Joseph Novotny; Mi-Suk Kang Dufour; Alemayehu Midekisa; Roly Gosling; Arnaud LeMenach; Justin M. Cohen; Grant Dorsey; Bryan Greenhouse; Simon Kunene
Abstract Background Low-quality housing may confer risk of malaria infection, but evidence in low transmission settings is limited. Methods To examine the relationship between individual level housing quality and locally acquired infection in children and adults, a population-based cross-sectional analysis was performed using existing surveillance data from the low transmission setting of Swaziland. From 2012 to 2015, cases were identified through standard diagnostics in health facilities and by loop-mediated isothermal amplification in active surveillance, with uninfected subjects being household members and neighbors. Housing was visually assessed in a home visit and then classified as low, high, or medium quality, based on housing components being traditional, modern, or both, respectively. Results Overall, 11426 individuals were included in the study: 10960 uninfected and 466 infected (301 symptomatic and 165 asymptomatic). Six percent resided in low-quality houses, 26% in medium-quality houses, and 68% in high-quality houses. In adjusted models, low- and medium-quality construction was associated with increased risk of malaria compared with high-quality construction (adjusted odds ratio [AOR], 2.11 and 95% confidence interval [CI], 1.26–3.53 for low vs high; AOR, 1.56 and 95% CI, 1.15–2.11 for medium vs high). The relationship was independent of vector control, which also conferred a protective effect (AOR, 0.67; 95% CI, .50–.90) for sleeping under an insecticide-treated bed net or a sprayed structure compared with neither. Conclusions Our study adds to the limited literature on housing quality and malaria risk from low transmission settings. Housing improvements may offer an attractive and sustainable additional strategy to support countries in malaria elimination.
Clinical Infectious Diseases | 2017
Michelle S. Hsiang; Nikhil Ranadive; Stanley Chitundu; Nyasatu Ntshalintshali; Bryan Greenhouse
results (35/47 [74.5%]). For the remaining 25.5%, although rare in Asia [5], the deletions of pfhrp2 and/or pfhrp3 genes are currently investigated. In conclusion, the present study complements the previous findings by Ranadive [1]. In particular, it grants more accuracy to the RDT in terms of PPV (89.0% vs 67.3%). Moreover, it confirms that the sensitivity of RDT, although higher than previously calculated (72.0% vs 51.7%), remains insufficient to meaningfully detect Pf infection in low-transmission, preelimination areas.
Malaria Journal | 2014
Hugh J. W. Sturrock; Justin M. Cohen; Petr Keil; Andrew J. Tatem; Arnaud Le Menach; Nyasatu Ntshalintshali; Michelle S. Hsiang; Roland Gosling
Malaria Journal | 2016
Eugenie Poirot; Adam Soble; Nyasatu Ntshalintshali; Asen Mwandemele; Nomcebo Mkhonta; Calisile Malambe; Sibonakaliso Vilakati; Sisi Pan; Sarah Darteh; Gugu Maphalala; Joelle Brown; Jimee Hwang; Cheryl Pace; Andy Stergachis; Eric Vittinghoff; Simon Kunene; Roland Gosling
Malaria Journal | 2017
Ting Wu Chuang; Adam Soble; Nyasatu Ntshalintshali; Nomcebo Mkhonta; Eric Seyama; Steven Mthethwa; Deepa Pindolia; Simon Kunene