Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-4 (of 4 Records) |
Query Trace: Nwachukwu W[original query] |
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Schistosomiasis seroprevalence among children aged 0-14 years in Nigeria, 2018
Straily A , Tamunonengiyeofori I , Wiegand RE , Iriemenam NC , Okoye MI , Dawurung AB , Ugboaja NB , Tongha M , Parameswaran N , Greby SM , Alagi M , Akpan NM , Nwachukwu WE , Mba N , Martin DL , Secor WE , Swaminathan M , Adetifa I , Ihekweazu C . Am J Trop Med Hyg 2023 110 (1) 90-97 The first nationally representative, population-based study of schistosomiasis seroprevalence in Nigeria was conducted using blood samples and risk-factor data collected during the 2018 Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS). Schistosomiasis seroprevalence was estimated by analyzing samples for reactivity to schistosome soluble egg antigen (SEA) in a multiplex bead assay; NAIIS survey data were assessed to identify potential risk factors for seropositivity. The SEA antibody data were available for 31,459 children aged 0 to 14 years. Overall seroprevalence was 17.2% (95% CI: 16.3-18.1%). Seropositive children were identified in every age group, including children < 5 years, and seroprevalence increased with increasing age (P < 0.0001). Several factors were associated with increased odds of seropositivity, including being a boy (odds ratio [OR] = 1.34, 95% CI: 1.24-1.45), living in a rural area (OR = 2.2, 95% CI: 1.9-2.5), and animal ownership (OR = 1.67, 95% CI: 1.52-1.85). Access to improved sanitation and drinking water sources were associated with decreased odds of seropositivity (OR = 0.52, 95% CI: 0.47-0.58 and OR = 0.53, 95% CI: 0.47-0.60, respectively) regardless of whether the child lived in a rural (sanitation: adjusted odds ratio [aOR] = 0.7, 95% CI: 0.6-0.8; drinking water: aOR = 0.7, 95% CI: 0.6-0.8) or urban area (sanitation: aOR = 0.6, 95% CI: 0.5-0.7; drinking water: aOR = 0.5, 95% CI: 0.4-0.6), highlighting the importance of these factors for schistosomiasis prevention and control. These results identified additional risk populations (children < 5 years) and a new risk factor (animal ownership) and could be used to monitor the impact of control programs. |
Nigeria's public health response to the COVID-19 pandemic: January to May 2020.
Dan-Nwafor C , Ochu CL , Elimian K , Oladejo J , Ilori E , Umeokonkwo C , Steinhardt L , Igumbor E , Wagai J , Okwor T , Aderinola O , Mba N , Hassan A , Dalhat M , Jinadu K , Badaru S , Arinze C , Jafiya A , Disu Y , Saleh F , Abubakar A , Obiekea C , Yinka-Ogunleye A , Naidoo D , Namara G , Muhammad S , Ipadeola O , Ofoegbunam C , Ogunbode O , Akatobi C , Alagi M , Yashe R , Crawford E , Okunromade O , Aniaku E , Mba S , Agogo E , Olugbile M , Eneh C , Ahumibe A , Nwachukwu W , Ibekwe P , Adejoro OO , Ukponu W , Olayinka A , Okudo I , Aruna O , Yusuf F , Alex-Okoh M , Fawole T , Alaka A , Muntari H , Yennan S , Atteh R , Balogun M , Waziri N , Ogunniyi A , Ebhodaghe B , Lokossou V , Abudulaziz M , Adebiyi B , Abayomi A , Abudus-Salam I , Omilabu S , Lawal L , Kawu M , Muhammad B , Tsanyawa A , Soyinka F , Coker T , Alabi O , Joannis T , Dalhatu I , Swaminathan M , Salako B , Abubakar I , Fiona B , Nguku P , Aliyu SH , Ihekweazu C . J Glob Health 2020 10 (2) 020399 The novel coronavirus disease 2019, COVID-19, which is caused by severe acute respiratory syndrome virus 2 (SARS-CoV-2) [1] was first reported in December 2019 by Chinese Health Authorities following an outbreak of pneumonia of unknown origin in Wuhan, Hubei Province [2,3]. SARS-CoV-2 is likely of zoonotic origin, similar to SARS and Middle East Respiratory Syndrome (MERS), and transmitted between humans through respiratory droplets and fomites. Since its emergence, it has rapidly spread globally [4]. |
Descriptive epidemiology of coronavirus disease 2019 in Nigeria, 27 February-6 June 2020.
Elimian KO , Ochu CL , Ilori E , Oladejo J , Igumbor E , Steinhardt L , Wagai J , Arinze C , Ukponu W , Obiekea C , Aderinola O , Crawford E , Olayinka A , Dan-Nwafor C , Okwor T , Disu Y , Yinka-Ogunleye A , Kanu NE , Olawepo OA , Aruna O , Michael CA , Dunkwu L , Ipadeola O , Naidoo D , Umeokonkwo CD , Matthias A , Okunromade O , Badaru S , Jinadu A , Ogunbode O , Egwuenu A , Jafiya A , Dalhat M , Saleh F , Ebhodaghe GB , Ahumibe A , Yashe RU , Atteh R , Nwachukwu WE , Ezeokafor C , Olaleye D , Habib Z , Abdus-Salam I , Pembi E , John D , Okhuarobo UJ , Assad H , Gandi Y , Muhammad B , Nwagwogu C , Nwadiuto I , Sulaiman K , Iwuji I , Okeji A , Thliza S , Fagbemi S , Usman R , Mohammed AA , Adeola-Musa O , Ishaka M , Aketemo U , Kamaldeen K , Obagha CE , Akinyode AO , Nguku P , Mba N , Ihekweazu C . Epidemiol Infect 2020 148 1-42 The objective of this study was to describe the epidemiology of COVID-19 in Nigeria with a view of generating evidence to enhance planning and response strategies. A national surveillance dataset between 27 February and 6 June 2020 was retrospectively analysed, with confirmatory testing for COVID-19 done by real-time polymerase chain reaction (RT-PCR). The primary outcomes were cumulative incidence (CI) and case fatality (CF). A total of 40 926 persons (67% of total 60 839) had complete records of RT-PCR test across 35 states and the Federal Capital Territory, 12 289 (30.0%) of whom were confirmed COVID-19 cases. Of those confirmed cases, 3467 (28.2%) had complete records of clinical outcome (alive or dead), 342 (9.9%) of which died. The overall CI and CF were 5.6 per 100 000 population and 2.8%, respectively. The highest proportion of COVID-19 cases and deaths were recorded in persons aged 31-40 years (25.5%) and 61-70 years (26.6%), respectively; and males accounted for a higher proportion of confirmed cases (65.8%) and deaths (79.0%). Sixty-six per cent of confirmed COVID-19 cases were asymptomatic at diagnosis. In conclusion, this paper has provided an insight into the early epidemiology of COVID-19 in Nigeria, which could be useful for contextualising public health planning. |
Reduced evolutionary rate in reemerged Ebola virus transmission chains.
Blackley DJ , Wiley MR , Ladner JT , Fallah M , Lo T , Gilbert ML , Gregory C , D'Ambrozio J , Coulter S , Mate S , Balogun Z , Kugelman J , Nwachukwu W , Prieto K , Yeiah A , Amegashie F , Kearney B , Wisniewski M , Saindon J , Schroth G , Fakoli L , Diclaro JW 2nd , Kuhn JH , Hensley LE , Jahrling PB , Stroher U , Nichol ST , Massaquoi M , Kateh F , Clement P , Gasasira A , Bolay F , Monroe SS , Rambaut A , Sanchez-Lockhart M , Scott Laney A , Nyenswah T , Christie A , Palacios G . Sci Adv 2016 2 (4) e1600378 On 29 June 2015, Liberia's respite from Ebola virus disease (EVD) was interrupted for the second time by a renewed outbreak ("flare-up") of seven confirmed cases. We demonstrate that, similar to the March 2015 flare-up associated with sexual transmission, this new flare-up was a reemergence of a Liberian transmission chain originating from a persistently infected source rather than a reintroduction from a reservoir or a neighboring country with active transmission. Although distinct, Ebola virus (EBOV) genomes from both flare-ups exhibit significantly low genetic divergence, indicating a reduced rate of EBOV evolution during persistent infection. Using this rate of change as a signature, we identified two additional EVD clusters that possibly arose from persistently infected sources. These findings highlight the risk of EVD flare-ups even after an outbreak is declared over. |
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