| Literature DB >> 28674145 |
Thomas C Darton1,2,3, James E Meiring2, Susan Tonks2, Md Arifuzzaman Khan4, Farhana Khanam4, Mila Shakya5, Deus Thindwa6, Stephen Baker1,7,8, Buddha Basnyat5,7, John D Clemens4,9, Gordon Dougan8, Christiane Dolecek7,10, Sarah J Dunstan11, Melita A Gordon6,12, Robert S Heyderman6,13, Kathryn E Holt14,15, Virginia E Pitzer16, Firdausi Qadri4, K Zaman4, Andrew J Pollard2.
Abstract
INTRODUCTION: Invasive infections caused by Salmonella enterica serovar Typhi and Paratyphi A are estimated to account for 12-27 million febrile illness episodes worldwide annually. Determining the true burden of typhoidal Salmonellae infections is hindered by lack of population-based studies and adequate laboratory diagnostics.The Strategic Typhoid alliance across Africa and Asia study takes a systematic approach to measuring the age-stratified burden of clinical and subclinical disease caused by typhoidal Salmonellae infections at three high-incidence urban sites in Africa and Asia. We aim to explore the natural history of Salmonella transmission in endemic settings, addressing key uncertainties relating to the epidemiology of enteric fever identified through mathematical models, and enabling optimisation of vaccine strategies. METHODS/Entities:
Keywords: africa; asia; diagnosis; enteric fever; febrile illness; healthcare utilisation; infection transmission; resource-limited setting; salmonella paratyphi a; salmonella typhi; seroepidemiology; serosurveillance; vaccination programme
Mesh:
Year: 2017 PMID: 28674145 PMCID: PMC5726077 DOI: 10.1136/bmjopen-2017-016283
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Overarching objectives of the Strategic Typhoid alliance across Africa and Asia study
| Primary | To characterise the burden of enteric fever at three urban sites in Africa and Asia |
| Secondary | Assess the burden/incidence of enteric fever |
| Assess the seroincidence of infection | |
| Assess host factors affecting burden/incidence/transmission of enteric fever | |
| Assess effect of pathogen genetics on burden/incidence/transmission of enteric fever | |
| Develop diagnostic tools for rapid and consistent typhoid diagnosis | |
| Develop transmission modelling and modelling of vaccine introduction impact | |
| Tertiary objectives | Strengthen research capacity in enteric fever endemic regions |
| Provide data to appropriate institutes and governments to advocate vaccine implementation | |
| To characterise the burden of invasive non-typhoidal salmonellae and other invasive pathogens at an urban site in Malawi, Africa |
Figure 1Description of the Strategic Typhoid alliance across Africa and Asia study field sites, demonstrating (i) the location of the three sampling sites in (A) Mirpur (Dhaka, Bangladesh), (B) Ndirande (Blantyre, Malawi) and (C) Patan (Kathmandu, Nepal); (ii) the historical number of typhoid cases detected per month at each site (blue box marks the annual monsoon season). S Typhi, Salmonella enterica serovar Typhi; S Paratyphi A, Salmonella enterica serovar Paratyphi A.
Sample size required for the target populations in the three sites to estimate annual, blood culture-confirmed typhoid incidence in passive clinical surveillance
| Age groups (years) | Anticipated typhoid incidence per 1000 persons* | Precision or half-width | Sample size required |
| 0–4 | 1.5 | 0.75 | 10 125 |
| 5–14 | 1.0 | 0.5 | 15 119 |
| >14 | 0.5 | 0.25 | 29 801 |
*Assumed age-specific incidence rates (based on data from Dhaka, Bangladesh, Delhi, India, and Dong Thap, Vietnam).
Sample size calculations for the serological surveys to estimate age-specific rates of high titres of serum IgG anti-H(d) antibodies
| Anticipated seroincidence (%) | Initial samples (n) | Anticipated number of events | Follow-up samples (n)* | Events detected (n) | Binomial exact | Probability of observing 0 events | |
| 0–4 years | 0.2 | 2500 | 5 | 2000 | 4 | 0.0005 to 0.0051 | 0.0182 |
| 5–9 years | 0.4 | 1300 | 5.2 | 1040 | 4 | 0.0010 to 0.0098 | 0.0155 |
| 10–14 years | 0.8 | 800 | 6.4 | 640 | 5 | 0.0025 to 0.0181 | 0.0059 |
| >14 years | 0.2 | 3900 | 7.8 | 3120 | 6 | 0.0007 to 0.0042 | 0.0019 |
| Total | 8500 | 24.2 | 6800 | 19 |
Assumes age-stratified individual sampling; also accounts for detection of 1% chronic carriage rate in those aged ≥10 years.
*Assuming 5% migration and 15% refusal.