2015
DOI: 10.1371/journal.pone.0117716
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Epidemiology of Severe Acute Respiratory Illness (SARI) among Adults and Children Aged ≥5 Years in a High HIV-Prevalence Setting, 2009–2012

Abstract: ObjectiveThere are few published studies describing severe acute respiratory illness (SARI) epidemiology amongst older children and adults from high HIV-prevalence settings. We aimed to describe SARI epidemiology amongst individuals aged ≥5 years in South Africa.MethodsWe conducted prospective surveillance for individuals with SARI from 2009–2012. Using polymerase chain reaction, respiratory samples were tested for ten viruses, and blood for pneumococcal DNA. Cumulative annual SARI incidence was estimated at o… Show more

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Cited by 48 publications
(64 citation statements)
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“…The estimated rates of SARI hospitalization among individuals aged <5 years (3066.0‐3073.6 per 100 000 population) and ≥5 years (139.8‐141.8 per 100 000 population) in Rwanda were also similar to those reported in South Africa from population‐based studies (range: 2530‐3173 per 100 000 population among children aged <5 years22 vs 325‐389 per 100 000 population among individuals aged ≥5 years23). …”
Section: Discussionsupporting
confidence: 79%
“…The estimated rates of SARI hospitalization among individuals aged <5 years (3066.0‐3073.6 per 100 000 population) and ≥5 years (139.8‐141.8 per 100 000 population) in Rwanda were also similar to those reported in South Africa from population‐based studies (range: 2530‐3173 per 100 000 population among children aged <5 years22 vs 325‐389 per 100 000 population among individuals aged ≥5 years23). …”
Section: Discussionsupporting
confidence: 79%
“…SARI hospitalization rates of 2530‐3173 per 100 000 population 18 and 325‐389 per 100 000 17 have been reported in South Africa among children aged <5 years and individuals aged ≥5 years, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, we did not clinically stage patients with HIV and it is also possible that admission criteria for known HIV-infected patients may differ by attending physician and hospital; (5) One of the most common reasons for non-enrolment was that the patient was too ill to consent; this may bias our estimation of severity; Previously published data from the same surveillance programme found a 10% non-enrolment rate into the surveillance programme, of whom 50% were too ill to consent and 11% refused to participate with the remainder having a variety of reasons for refusal. 40 (6) Our confidence interval may not account for the variability in numbers due to enrolment strategies and so may be imprecise; (7) Lastly population denominators were only available for one large urban hospital site, making it difficult to generalize the findings to other sites in the country; (8) The adjustment factors used in our incidence calculation are based on a number of assumptions and this uncertainty in not captured in the confidence intervals for our estimates of incidence; (9) It is possible that health seeking behaviour is different by age and HIV status which could affect our estimation of disease incidence; (10) The true burden of RSV-associated respiratory tract infection is not complete without an estimation of outpatient burden, these data are not as yet published in our setting.…”
Section: Discussionmentioning
confidence: 99%