tetano
Editor, Senior Moderator
https://www.gardp.org/wp-c PLoS One. 2017 Jul 7;12(7):e0180890. doi: 10.1371/journal.pone.0180890. eCollection 2017.
[h=1]Estimating influenza and respiratory syncytial virus-associated mortality in Western Kenya using health and demographic surveillance system data, 2007-2013.[/h] Emukule GO[SUP]1,[/SUP][SUP]2[/SUP], Spreeuwenberg P[SUP]3[/SUP], Chaves SS[SUP]1,[/SUP][SUP]4[/SUP], Mott JA[SUP]1,[/SUP][SUP]4,[/SUP][SUP]5[/SUP], Tempia S[SUP]4,[/SUP][SUP]6[/SUP], Bigogo G[SUP]7[/SUP], Nyawanda B[SUP]7[/SUP], Nyaguara A[SUP]7[/SUP], Widdowson MA[SUP]1[/SUP], van der Velden K[SUP]2[/SUP], Paget JW[SUP]2,[/SUP][SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Influenza and respiratory syncytial virus (RSV) associated mortality has not been well-established in tropical Africa.
[h=4]METHODS:[/h] We used the negative binomial regression method and the rate-difference method (i.e. deaths during low and high influenza/RSV activity months), to estimate excess mortality attributable to influenza and RSV using verbal autopsy data collected through a health and demographic surveillance system in Western Kenya, 2007-2013. Excess mortality rates were calculated for a) all-cause mortality, b) respiratory deaths (including pneumonia), c) HIV-related deaths, and d) pulmonary tuberculosis (TB) related deaths.
[h=4]RESULTS:[/h] Using the negative binomial regression method, the mean annual all-cause excess mortality rate associated with influenza and RSV was 14.1 (95% confidence interval [CI] 0.0-93.3) and 17.1 (95% CI 0.0-111.5) per 100,000 person-years (PY) respectively; and 10.5 (95% CI 0.0-28.5) and 7.3 (95% CI 0.0-27.3) per 100,000 PY for respiratory deaths, respectively. Highest mortality rates associated with influenza were among ≥50 years, particularly among persons with TB (41.6[95% CI 0.0-122.7]); and with RSV were among <5 years. Using the rate-difference method, the excess mortality rate for influenza and RSV was 44.8 (95% CI 36.8-54.4) and 19.7 (95% CI 14.7-26.5) per 100,000 PY, respectively, for all-cause deaths; and 9.6 (95% CI 6.3-14.7) and 6.6 (95% CI 3.9-11.0) per 100,000 PY, respectively, for respiratory deaths.
[h=4]CONCLUSIONS:[/h] Our study shows a substantial excess mortality associated with influenza and RSV in Western Kenya, especially among children <5 years and older persons with TB, supporting recommendations for influenza vaccination and efforts to develop RSV vaccines.
PMID: 28686692 DOI: 10.1371/journal.pone.0180890
ontent/uploads/2017/07/Alirol_PLOS_multidrug-resistant_gonorrhea_2017.pdf
[h=1]Estimating influenza and respiratory syncytial virus-associated mortality in Western Kenya using health and demographic surveillance system data, 2007-2013.[/h] Emukule GO[SUP]1,[/SUP][SUP]2[/SUP], Spreeuwenberg P[SUP]3[/SUP], Chaves SS[SUP]1,[/SUP][SUP]4[/SUP], Mott JA[SUP]1,[/SUP][SUP]4,[/SUP][SUP]5[/SUP], Tempia S[SUP]4,[/SUP][SUP]6[/SUP], Bigogo G[SUP]7[/SUP], Nyawanda B[SUP]7[/SUP], Nyaguara A[SUP]7[/SUP], Widdowson MA[SUP]1[/SUP], van der Velden K[SUP]2[/SUP], Paget JW[SUP]2,[/SUP][SUP]3[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Influenza and respiratory syncytial virus (RSV) associated mortality has not been well-established in tropical Africa.
[h=4]METHODS:[/h] We used the negative binomial regression method and the rate-difference method (i.e. deaths during low and high influenza/RSV activity months), to estimate excess mortality attributable to influenza and RSV using verbal autopsy data collected through a health and demographic surveillance system in Western Kenya, 2007-2013. Excess mortality rates were calculated for a) all-cause mortality, b) respiratory deaths (including pneumonia), c) HIV-related deaths, and d) pulmonary tuberculosis (TB) related deaths.
[h=4]RESULTS:[/h] Using the negative binomial regression method, the mean annual all-cause excess mortality rate associated with influenza and RSV was 14.1 (95% confidence interval [CI] 0.0-93.3) and 17.1 (95% CI 0.0-111.5) per 100,000 person-years (PY) respectively; and 10.5 (95% CI 0.0-28.5) and 7.3 (95% CI 0.0-27.3) per 100,000 PY for respiratory deaths, respectively. Highest mortality rates associated with influenza were among ≥50 years, particularly among persons with TB (41.6[95% CI 0.0-122.7]); and with RSV were among <5 years. Using the rate-difference method, the excess mortality rate for influenza and RSV was 44.8 (95% CI 36.8-54.4) and 19.7 (95% CI 14.7-26.5) per 100,000 PY, respectively, for all-cause deaths; and 9.6 (95% CI 6.3-14.7) and 6.6 (95% CI 3.9-11.0) per 100,000 PY, respectively, for respiratory deaths.
[h=4]CONCLUSIONS:[/h] Our study shows a substantial excess mortality associated with influenza and RSV in Western Kenya, especially among children <5 years and older persons with TB, supporting recommendations for influenza vaccination and efforts to develop RSV vaccines.
PMID: 28686692 DOI: 10.1371/journal.pone.0180890
ontent/uploads/2017/07/Alirol_PLOS_multidrug-resistant_gonorrhea_2017.pdf