atepeq/tico19 huggingface dataset:
By the same reasoning, pangolins should be removed from wet markets to prevent zoonotic transmission, in view of the discovery of multiple lineages of pangolin beta-CoVs closely related to SARS-CoV-2.
Dalil caye dǝ men, 'pangolin' soye kasuwu dabbawabe dǝn ba ro tǝdin tartǝgǝ tiyi dabbawaye men kaltǝgǝ nankaro, jiliwa beta-CoVwa pangolinbe kada SARS-CoV-2'a leyata fodutǝna nanka dǝ ro.
However, whether and how SARS-CoV-2 is transmitted to humans through pangolins and other mammals remain to be clarified in future investigations.
SARS-CoV-2 adammana ro pangolin men faltǝin la faltǝimba kuru futu wi men faltǝin dǝ kulashiwa fuwu lan tǝdin lan asutin.
On the other hand, MERS-CoV has existed in dromedary camels for a long time.
Mukko fallan, MERS-CoV dǝ tiyi kalimowabe lan loktu kuruwu ro dǝgana.
These camels serve as an important tool for transportation as well as a main source of meat, milk, leather and wool products for the local people.
Kalimowa anyi nasha lenǝm areyen zauro faidazayin, kuru sandi futa men da-a, cam-a, karai-a, kuru kunduli-a tuwandin am fato'be ro.
They are widely distributed across the Middle East and Africa.
Sandi kalimowa so dǝ Gǝdi dawube-a Africa-a lan zauro ngǝwu.
It is therefore impossible to sacrifice all camels for the control of MERS, as what was done in wild animal markets in China to prevent the spreading of SARS-CoV and SARS-CoV-2.
Advye sǝkkǝ kalimowa samma so MERS kaltǝgǝ nanka ro yezo dǝ mowonjimba, futu dabbawa karaabe ro kasuwuwa Chinabe lan tǝdǝna dǝ yeyi, tartǝgǝ SARS-CoV-a SARS-CoV-2be-a kaltugǝ nanka ro.
To stop the recurrent outbreaks of MERS, a comprehensive approach should be taken to develop effective vaccines against MERS-CoV for camels, in combination with other infection control measures.
Fǝlangtǝ MERSbe gade dabtǝ nankaro, duluwu kǝske do shi futa men kalimi MERS-coVbe kalimowa ro tando nankaro gotǝna ma ngǝla wo, katapwa gade tartǝgǝ kuli kwasabe daptǝye gotǝn kunten.
As we are not able to eliminate these viruses, new genotypes might emerge to cause outbreaks.
Kuliwa kwasabe anyi ba ro dio andero tiyerǝna daa, jiliwa gade waniye solu fǝlangtǝ sawudin.
A variety of zoonotic CoVs are circulating in the wild.
Jiliwa CoV soye raksa kwasa sawudin ma kada karaa lan fomzayin.
Particularly, bat CoVs with zoonotic potential are so diverse.
Taganas ma ro, CoVwa batatabe so do raksa kwasa au nǝm dondi sawudin so dǝ jilinza ngǝwu.
There are plenty of opportunities that these zoonotic CoVs evolve and recombine, resulting in the emergence of new CoVs that are more transmissible and/or deadly in humans in future.
Duluwuwa kada mbeji sandi men CoVwa kwasa au nǝm dondi sawudin anyiye fǝlamza kuru walta kǝltayin ma, adǝgayin men CoVwa bǝlin do zauro faltǝyin ma kuru/au kǝrmu adammana so ro sawudin ma fuwu lan soluyin.
The culture of eating wild animals in some places of China should be abandoned to reduce unnecessary contact between humans and animals.
Ada dabbawa karaaye gǝrobe na'a laa Chinabe lan tǝdin dǝ koltǝna ma ngǝla wo, kǝla kǝlta au mu'amala ndikate adammana so dabbawa so-a ye mǝradǝtǝnyi fulutǝ nankaro.
With the ordeals of SARS, MERS and COVID-19, a better preparedness and response plan should be in place.
Awowa SARS-a, MERS-a, COVID-19-a futa men turuna dǝye sǝkkǝ, dawari ngǝla-a kuru fasal katap goabe-a ngalwo-a gǝnaata mbeji ma ngǝla wo.
In fact, many viruses have existed in the planet for a very long time.
Tawadǝ ro, kuliwa kwasa sawudin kada dunya lan loktu kuruwu ro kasharu.
They stay in their own natural reservoirs until there is a chance for spillover.
Guwom au tankinza alameye lan kasharu adǝgai do hatta duluwu awo laa gadero cambaltǝm kotabe sowandayin.
Although bats have many features that favours the spreading of viruses, the chance for humans to be in contact with bats and other wildlife species can be minimized if people are educated to stay away from them.
Batata so dǝ hallanzaa kada tartǝgǝ kuliwa kwasabe banazǝyin ma mbeji yaye, duluwu adammana soye batataso dabbawa karaaye gadeso-a letayin dǝ gana ro tǝdǝ kuru am soye kǝla fatǝgǝ sandiro cintuza.
Continuous surveillance in mammals is necessary for better understanding of the ecology of CoVs and their natural hosts, which will prove useful in preventing animal-to-human transmission and future outbreaks.
Dabbawa so ro sambi so ro shim ikko dǝ mbu ro walzǝna na CoV so kǝnǝngatayin-a kuru sototǝmanza alameye au karaaye so asutǝ ngǝla fando ro, adǝye faidajin nasha faltǝgǝ ndikate dabba-a adammana-aye kaltǝgǝ-a kuru fuwu lan fǝlangtǝ kaltǝgǝ-a ro.
To conclude, the most effective way to prevent viral zoonosis is for humans to stay away from the ecological niches of the natural reservoirs of the zoonotic viruses.
Tamotǝram lan, duluwu do zauro "viral zoonosis" (kuli kwasabe dabba futamen gotǝ) kaltǝyin dǝ shima adammana soye na'a guwomwa au tankiwa kuliwa kwasa sawudin anyiye ro cintutǝ dǝ.
Several pieces in the puzzle of the zoonotic origin of SARS-CoV-2 are still missing.
Awowa sǝnana do badiyaram SARS-CoV-2be fǝlejin dǝ kuwayaye ba.
First, if bats transmit an ancestral virus of SARS-CoV-2 to pangolins, it will be of interest to see under what circumstances bats and pangolins could share the same ecological niche.
Kǝn fal me dǝ, batata so dǝ kuli kwasabe SARS-CoV-2be din pangolin so ro falzayin maa, awo wutiya sandǝna dǝ shima kǝnda wi son batata so-a pangolin so-a ye na fallan kasharu.
Second, if bats play a more direct role in human transmission, how humans get into contact with bats should be determined.
Kǝn indi me dǝ, batata so dǝ nasha adammana ro faltǝgǝben katap kura gowotsayin maa, futu adammana soye batata so-a letayin dǝ notǝna ma ngǝla wo.
Third, if a third mammal acts as the true intermediate host, how it interacts with the different species including humans, bats and pangolins has to be clarified.
Kǝn yakkǝ me dǝ, dabba laa kǝn yakkǝ me shima sototǝ ma dawu be jirebeye mbeji maa, futu jiliwa gade-a letayin adammana-a, batata-a, pangolin-a kunten dǝ asutǝna ma ngǝla wo.
Finally, since many mammals including domestic animals might be susceptible to SARS-CoV-2, both surveillance and experimental infection should be conducted.
Dare datǝram lan, dabbawa kada hatta dabbawa fatoben kunten sandiya SARS-CoV-2ye mowonǝ sǝtayin daa, faltǝgǝ shim ikkobe-a dim kurube-a ndi so tǝdǝna ma ngǝla wo.
Should it be a bat, a pangolin or another mammal, it is expected that SARS-CoV-2 or its parental viruses that are almost identical will be identified in its natural hosts in future.
Batata, pangolin, au dabba gade ro wallono maa, SARS-CoV-2 au kuli kwasabe sha sambǝna ma do sandi zauro samun dǝ mowonzǝ fuwulan sototǝmanzǝye tiyi lan fodutin ro tǝma'ata.
Continued investigations in this area will elucidate the evolutionary pathway of SARS-CoV-2 in animals, with important implications in the prevention and control of COVID-19 in humans.
Kulashiwa lejin ma do nasha adǝlan tǝdinye zawal fǝlamtǝ SARS-CoV-2ye tiyi dabbawabe dǝ raksǝ sutuluyin, dalilla faidajin nasha COVID-19 tiyi adammana soyen fautǝ-a kaltǝgǝ-a kunte.
Preliminary Estimates of the Prevalence of Selected Underlying Health Conditions Among Patients with Coronavirus Disease 2019 — United States, February 12–March 28, 2020
Somwa Badiyarambe Ngǝwutǝ Kǝndawa Nǝlewabe Kartǝna ma Dawu Am nǝm Dondi coronavirusbe tiyinzan Mbejiye 2019 ___ lardǝ United Statesbe, February 12--March 28, 2020
On March 11, 2020, the World Health Organization declared Coronavirus Disease 2019 (COVID-19) a pandemic.
March 11, 2020na, Karapka Nǝlewabe Dunyabeye kwasa koronabairosbe (COVID-19) dǝ'a wawa dunya samma so zuwuna lan bowono.
As of March 28, 2020, a total of 571,678 confirmed COVID-19 cases and 26,494 deaths have been reported worldwide.
Kǝntage Marchye kawunzǝ 28nna, saa 2020 lan, lamarra COVID-19be 571,678 tawattǝgǝ na kuru kǝrmu kam 26,494ye dunya samma son rifot tuwandǝna.
Reports from China and Italy suggest that risk factors for severe disease include older age and the presence of at least one of several underlying health conditions.
Rifotwa China-a Italy-a lan tuwandǝnaye fǝlejin awowa fujiwo nǝm dondi kǝrau sawudin dǝ sandima nǝm kura au ngǝli letǝ-a kuru nǝm dondi laa buro man mbeji.
U.S. older adults, including those aged ≥65 years and particularly those aged ≥85 years, also appear to be at higher risk for severe COVID-19–associated outcomes; however, data describing underlying health conditions among U.S. COVID-19 patients have not yet been reported.
U.S lan ammurawa ngǝlinza lezǝna, am ngǝlinza ≥65 kuru taganasma ro ammurawa ngǝlinza ≥85, sandima zauro suro fujiwo nǝm dondi COVID-19'a leyata sandiya sǝtayin kasharu; sapsapno bayanbe do kǝndawa nǝlewabe am U.S lan COVID-19ye sǝtana fǝlejin dǝ kuwayaye rifotnzǝ tǝdǝnyi.
As of March 28, 2020, U.S. states and territories have reported 122,653 U.S. COVID-19 cases to CDC, including 7,162 (5.8%) for whom data on underlying health conditions and other known risk factors for severe outcomes from respiratory infections were reported.
Kǝntagǝ Marisbe kaunzǝ 28nna saa 2020, lardǝ U.S.be-a dǝrinǝmkǝllenzǝ-aye kessa COVID-19ye sandi 122,653 CDC ro rifot sadǝna, suro dǝn mbeji kessa 7,162 (ci 5.8%) sandi do sapsapno bayanbe kǝla kǝndawa nǝlewabe caman mbeji-a kuru awowa fujiwo suwudin gade so sandi do kwasawa yintǝbe zau sawudin ma rifot tǝdǝna.
Among these 7,162 cases, 2,692 (37.6%) patients had one or more underlying health condition or risk factor, and 4,470 (62.4%) had none of these conditions reported.
Dau lamarra au kessa 7,162 ye dǝn, am dondi 2,692 (37.6%) yedei dǝ nǝm dondi fal au falla kozǝna buroman sha zǝkcin ma mbeji au awo fujiwo suwudin ma, kuru kam 4,470 (62.4%) dǝ affima sandiya buron zǝkcin ma ba.
The percentage of COVID-19 patients with at least one underlying health condition or risk factor was higher among those requiring intensive care unit (ICU) admission (358 of 457, 78%) and those requiring hospitalization without ICU admission (732 of 1,037, 71%) than that among those who were not hospitalized (1,388 of 5,143, 27%).
Adadu am COVID-19ye sǝtana kuru tiyinzan nǝm dondi gananzǝyaye fal yedei buroman mbeji au awo fujiwo suwudin mbeji ma dǝ sandi ma zauro ngǝwu wo dawu am sandiya ICUro ikko mǝradǝzanabe lan (358 suro 457, 78%) kuru sandi do litarin rota ngai mǝradǝza ICUro ikko ba dǝ (732 suro 1,037yen, 71%), kuru am sandiya litarin rotǝnyi (1,388 suro 5143, 27%).
The most commonly reported conditions were diabetes mellitus, chronic lung disease, and cardiovascular disease.
Nǝm dondi do zauro ngǝwu ro rifotnza tuwandin dǝ sandi ma kwasa shiwurbe-a, kwasa fufube zauro zauma-a, kuru kwasa nasha karǝgǝ-a kaso buye-a leyata ma.
These preliminary findings suggest that in the United States, persons with underlying health conditions or other recognized risk factors for severe outcomes from respiratory infections appear to be at a higher risk for severe disease from COVID-19 than are persons without these conditions.
Awowa tuwandǝna badiyarambe dǝye fǝlezǝna lardǝ United Statesye dǝn, am do nǝm dondi laa caman sandiya zǝkcin au awo laa fujiwo suwudin gade noatama do kwasa yintǝbe kǝrau ro sǝdin ma so dǝ sandima zauro suro fujiwo nǝm dondi COVID-19be zzauma sandiya sǝtayin yen kasharu, am tiyinzan awowa anyi ba ro wungǝmmiya.
Data from laboratory-confirmed COVID-19 cases reported to CDC from 50 states, four U.S. territories and affiliated islands, the District of Columbia, and New York City with February 12–March 28, 2020 onset dates were analyzed.
Sapsawi bayanbe lamarra COVID-19be lab lan tawattǝgǝna do CDC ro rifotnza taadvna suro kǝriyewa 50be-a, cidiwa 4 cidiya U. Syen dasaana-a kuru cidiya njiye dǝrizǝ kǝlzǝna do U.S ro tǝngataana'a, kuru na shiro 'District of Columbia' sayin daa, bǝrni New Yorkbe-a, kǝntagǝ Februarybe kau 12 - kǝntagǝ Marchbe kau 28, saa 2020 sandi ma yimma baditǝbe ro gǝnatǝna dǝ samma kulastǝ na.
Cases among persons repatriated to the United States from Wuhan, China, and the Diamond Princess cruise ship were excluded.
Kessa dawu am do sandiya United States ro Wuhan-a, China-a, kuru maara njibe kǝji fantǝbe shiro Diamond Princess sayin dǝ'a lan kalaktǝnayen tuwandǝna so dǝ dawun ba.
For cases with missing onset dates, date of onset was estimated by subtracting 4 days (median interval from symptom onset to specimen collection date among cases with known dates in these data) from the earliest specimen collection.
Lamarra do yim kau kǝntagǝye baditǝnzabe ba ma dǝ yim badtǝnzabe dǝ kau diyeu yim buro salakyen "specimen tǝmona" lan tulo men komtin.
Public health departments reported cases to CDC using a standardized case report form that captures information (yes, no, or unknown) on the following conditions and potential risk factors: chronic lung disease (inclusive of asthma, chronic obstructive pulmonary disease [COPD], and emphysema); diabetes mellitus; cardiovascular disease; chronic renal disease; chronic liver disease; immunocompromised condition; neurologic disorder, neurodevelopmental, or intellectual disability; pregnancy; current smoking status; former smoking status; or other chronic disease.
Fellawa Nǝlewa Jamabeye CDC ro rifot lamarra au kessaye cina, fom rifot kesbeye ngalwo do bayanna gojin ma (aa'a, a'aa, au notǝnyi) kǝla kǝndawa anyibe-a kuru awowa fujiwo suwudin ma so-ayen: kwasa fufube zauro zau ma (suro dǝn asǝma-a, 'chronic obstructive pulmonary disease-a[COPD), kuru 'emphysema'-a mbeji); kwasa shiwurbe; kwasa karǝgǝbe-a letǝ buye-a; kwasa kǝtǝlilam au collorambe zauma; kwasa kǝmattǝn be zauro zau ma; kǝnda do duno kwasa luwalatǝbe tiyibe fulujin ma; kwasa caube. kwasa fuwutǝ hangalbe; suro; kǝrma ro tafa kǝnza, tafa kǝnza buroye; au kwasawa zau gade so.
Data reported to CDC are preliminary and can be updated by health departments over time; critical data elements might be missing at the time of initial report; thus, this analysis is descriptive, and no statistical comparisons could be made.
Sapsawi bayanbe CDC ro rifotnzǝ sadǝna dǝ badiyarambe kuru fellawa nǝlewabeye soye raksa bayan gade sasarayin suro kun balinyen; awowa laa sapsawi bayanbe muhimmi au zauro faida'a loktu nuro salak rifot dǝ sadǝna dǝn waniye ba ro waljin; daji adǝye sǝkkǝ, kulashi adǝ yikkuwaltobe, kuru rataltǝgǝ somye mowonzǝ tǝdǝnyi.
The percentages of patients of all ages with underlying health conditions who were not hospitalized, hospitalized without ICU admission, and hospitalized with ICU admission were calculated.
Adadu am dondi samma soye (kura ba gana ba) do buroman nǝm dondi laa tiyinzan mbeji amma sandiya litarin rozanyibe-a, litarin rozana amma ICU (na kam zauro dondi ro cistǝgǝ kambo diobe) tǝkkǝnyi-a, kuru litarin rozana kuru ICU ro tǝkkǝna-a be dǝ komtǝna.
Percentages of hospitalizations with and without ICU admission were estimated for persons aged ≥19 years with and without underlying health conditions.
Adadu litarin rotǝ ICU ro ikko mbeji-a ba-a ye dǝ am saa ≥19 (meu laarin samin) ro komgatǝ, nǝm dondi laa buroman mbeji-a ba-a son.
This part of the analysis was limited to persons aged ≥19 years because of the small sample size of cases in children with reported underlying health conditions (N = 32).
Kulashi dǝye nashanzǝ adǝ am saa ≥19 bas ro tǝdin dalil nǝm gana samfǝrye kessa ndulibe do buro man nǝm dondi laa sandiya zǝkcinye rifot tǝdǝna ma (N=32).
To account for missing data among these preliminary reports, ranges were estimated with a lower bound including cases with both known and unknown status for hospitalization with and without ICU admission as the denominator and an upper bound using only cases with known outcome status as the denominator.
Sapsawi bayanbe suro rifot badiyarambeye fattǝgǝna ma ye na dǝ kǝptǝgǝ ro, som dǝ tǝdǝna kessa do litarin rotǝna ro notǝna-a notǝnyi-a do ICU ro tǝkkǝna-a tǝkkǝnyi-a ro, kuru kessa tamoram noata'a ye faidatǝna.
Because of small sample size and missing data on underlying health conditions among COVID-19 patients who died, case-fatality rates for persons with and without underlying conditions were not estimated.
Dalil nǝm gana samfǝrbe-a kuru fattǝgǝ sapsawi bayanbeye kǝla kǝnda nǝm dondi caman mbejiye dawu am COVId-19ye cezǝnaye sǝkkǝ, nǝm ngǝwu kǝrmube am nǝm dondi laa buroman sandiya zǝkcin mbeji-a ba-aye dǝ komtǝnyi.
As of March 28, 2020, a total of 122,653 laboratory-confirmed COVID-19 cases (Figure) and 2,112 deaths were reported to CDC.
Kǝntagǝ Marchye kaunzǝ 28, saa 2020 lan, kessa COVID-19ye lab lan tawattǝgǝna sandi 122,653 kuru kǝrmu 2,112ye rifot CDC ro sadǝna.
Case report forms were submitted to CDC for 74,439 (60.7%) cases.
Fomwa kes rifot diobe CDC ro sandi 74,439 (60.7%) taadǝna.
Data on presence or absence of underlying health conditions and other recognized risk factors for severe outcomes from respiratory infections (i.e., smoking and pregnancy) were available for 7,162 (5.8%) patients (Table 1).
Sapsawi bayanbe kǝla nǝm mbeji au nǝm ba nǝm dondi buro man mbejibe-a kuru awowa fujiwo suwudin noata ma kwasa yintǝbe zau suwuddin (tafa kǝnza-a nǝm de gǝnyi-a) be sandi am dondi 7,162 (ci 5.8%) mbeji (Tewur 1)
Approximately one third of these patients (2,692, 37.6%), had at least one underlying condition or risk factor.
Alama suro ci yakkǝyen ci fal am dondibe dǝ (2,692, 37.6%), gananzǝ yaye nǝm dondi buro man sandiya zǝkcin fal yaye tiyinzan mbeji au awo laa fujiwo suwudin ma mbeji.
Diabetes mellitus (784, 10.9%), chronic lung disease (656, 9.2%), and cardiovascular disease (647, 9.0%) were the most frequently reported conditions among all cases.
Kwasa shiwurye (784, ci 10.9%), kwasa fufube zau ma (656, ci 9.2%), kuru kwasa karǝgǝbe-a letǝ buye-a (647, ci 9.0%) sandima nǝm dondiwa do ngǝwu so ro rifotnza tǝdin wo suro kessa samma soyen.
Among 457 ICU admissions and 1,037 non-ICU hospitalizations, 358 (78%) and 732 (71%), respectively occurred among persons with one or more reported underlying health condition.
Dawu am ICU lan litarin rotǝna sandi 457 kuru litarin rotǝna ICU ro tǝkkǝnyi sandi 1,037nna, 358 (ci 78%) -a kuru 732 (ci 71%) wakazǝ dawu am do nǝm dondi fal au falla kozǝna do buroman tiyinzan mbeji ma soyen.
In contrast, 1,388 of 5,143 (27%) COVID-19 patients who were not hospitalized were reported to have at least one underlying health condition.
Adǝ ro gadezǝna, suro am 5,143 COVID 19ye sǝtana do sandiya litarin rotǝnyiye lan, 1,388 (ci 27%) dǝ tiyinzan gananzǝ yaye nǝm dondi laa buroman sandiya zǝkcin ma mbeji.
Among patients aged ≥19 years, the percentage of non-ICU hospitalizations was higher among those with underlying health conditions (27.3%–29.8%) than among those without underlying health conditions (7.2%–7.8%); the percentage of cases that resulted in an ICU admission was also higher for those with underlying health conditions (13.3%–14.5%) than those without these conditions (2.2%–2.4%) (Table 2).
Dawu am dondi saa ≥19 saminnayen, adadu litarin rotǝ ICU ro ikko ba dǝ dawu am nǝm dondi laa buroman sandiya zǝkcinna'aye (27.3% - 29.8%) dǝ nǝm ngǝwun am nǝm dondi laa sandiya zǝkcin (7.2% - 7.8%) ma ba ma kozǝna; adadu kessa ICU ro ikko suwudǝna be dǝ shiye dawu am nǝm dondi laa sandiya buroman zǝkcin ma dǝ (13.3% - 14.5%) nǝm ngǝwun am nǝm dondi laa sandiya zǝkcin ma ba (2.2% - 2.4%) kozǝna.
Small numbers of COVID-19 patients aged &lt; 19 years were reported to be hospitalized (48) or admitted to an ICU (eight).
Am COVID-19 ye sǝtana gana laa saanza < 19 cidiyan litarin rotǝnabe rifot tuwandǝna (48) suro ICU ro tǝkkǝna (8).
In contrast, 335 patients aged &lt; 19 years were not hospitalized and 1,342 had missing data on hospitalization.
Adǝ ro gadezǝna, am dondi sandi 335 saa < 19 sandiya litarin rotǝnyi kuru am 1,342 sapsawi bayanbe kǝla sandiya litarin rotabe dǝ fattǝgǝna.
Among all COVID-19 patients with complete information on underlying conditions or risk factors, 184 deaths occurred (all among patients aged ≥19 years); 173 deaths (94%) were reported among patients with at least one underlying condition.
Dawu am COVID-19ye sǝtana samma soyen sandi do bayan kaamil kǝla nǝm dondi caman sandiya zǝkcin mbejiya au awowa fujiwo'a laa mbeji ma yen, kǝrmu 184 wakazǝ (samma so dawu am saa ≥19 be lan); kǝrmu 173 (94%) ye rifot taadǝna dawu am dondi do caman nǝm dondi laa sandiya zǝkcin ma mbeji yen.
Among 122,653 U.S. COVID-19 cases reported to CDC as of March 28, 2020, 7,162 (5.8%) patients had data available pertaining to underlying health conditions or potential risk factors; among these patients, higher percentages of patients with underlying conditions were admitted to the hospital and to an ICU than patients without reported underlying conditions.
Dawu kessa COVID-19be 122,653 CDC ro rifotnzǝ taadǝna yim kǝntagǝ Marchbe kau 28, saa 2020 ye dǝn, am dondi 7,162 (ci 5.8%) sapsawi bayanbe kǝla nǝm dondinza do buroman sandiya zǝkcinben mbeji au awo laa fujiwoo'a sandiya wujin mbeji maye mbeji; dawu am dondi anyiben, adadu am nǝm dondi laa caman sandiya zǝkcin mbeji'aye ngǝwu litarin rozana kuru ICUye ro sakkǝna, am ngai maa ngǝwun kozana.
These results are consistent with findings from China and Italy, which suggest that patients with underlying health conditions and risk factors, including, but not limited to, diabetes mellitus, hypertension, COPD, coronary artery disease, cerebrovascular disease, chronic renal disease, and smoking, might be at higher risk for severe disease or death from COVID-19.
Tamoramwa anyi awowa China-a Italy-a lan tuwandǝna-a kalkalzǝna, adǝbe fǝlejin am dondi do nǝm dondi laa buroman sandiya zǝkcin-a kuru awo laa kǝnǝnganza ro fujiwo suwudin-a, suro dǝn mbeji amma anyi lan dajimba, kwasa shiwurbe-a, bawo buye shiro 'hypertension' gulzayin dǝ-a, COPD-a, kwasa caube-a, 'cerebrovascular disease'-a, kwasa nasha collobe zauro zau-a, kuru tafa kǝnza-a, sandi ma waniye suro fujiwo zauro donditǝbeyen au kǝrmuyen wo dalil COVID-19ben.
This analysis was limited by small numbers and missing data because of the burden placed on reporting health departments with rapidly rising case counts, and these findings might change as additional data become available.
Kulashi adǝ adadu gana-a kuru sapsawi bayanbe fattǝgǝ-a ye sha naskanzǝna dalil kǝrawu do fellawa rifot yadoma so ro gǝnatǝgǝnayen kessa zauro ngǝwu zayin ye sǝkkǝ, kuru kulashiwa anyi waniye faltin sa sapsawi bayanbe gade tuwandiya.
It is not yet known whether the severity or level of control of underlying health conditions affects the risk for severe disease associated with COVID-19.
Kǝmaa dǝ ro notǝnyi nǝm zau au daraja kaltǝgǝ nǝm dondi buroman mbejiye fujiwo do kwasa zau COVID-19'a leyatabe dǝ lejin la lejimba ro.
Many of these underlying health conditions are common in the United States: based on self-reported 2018 data, the prevalence of diagnosed diabetes among U.S. adults was 10.1%, and the U.S. age-adjusted prevalence of all types of heart disease (excluding hypertension without other heart disease) was 10.6% in 2017.
Nǝm dondi buroman mbeji anyi ngǝwunza so United States lan zauro ngǝwu: sapsawi bayanbe saa 2018be lan kǝlanza la ro rifot sadǝna ro wuntǝiyya, nǝm ngǝwu kwasa shiwurbe dawu ammurawa U.S be dǝ ci 10.1% ma sǝtǝna, kuru nǝm ngǝwu kwasa karǝgǝ'a leyata be dǝ (hypertension dawun ba ro) ci 10.6% suro saa 2017yen.
The age-adjusted prevalence of COPD among U.S. adults is 5.9%, and in 2018, the U.S. estimated prevalence of current asthma among persons of all ages was 7.9%.
Nǝm ngǝwu COPDbe dawu ammurawa U.S.be dǝ ci 5.9%, kuru saa 2018 be lan, U.S.ye nǝm ngǝwu asǝmabe dawu amma yen kura ba gana baye dǝ ci 7.9% ro somgono.
CDC continues to develop and update resources for persons with underlying health conditions to reduce the risk of acquiring COVID-19.
CDCdǝ sambiso ro am nǝm dondi laa buroman sandiya zǝkcin nankaro razuwwa sǝtandinye ngalwozǝyinye fujiwo COVID-19 gotǝbe fulutǝ nankaro.
The estimated higher prevalence of these conditions among those in this early group of U.S. COVID-19 patients and the potentially higher risk for more severe disease from COVID-19 associated with the presence of underlying conditions highlight the importance of COVID-19 prevention in persons with underlying conditions.
Nǝm ngǝwu kǝndawa nǝlewabe somtǝna anyi dawu am U.S.ye COVID-19ye sǝtanabe dǝ-a kuru fujiwo zauro kura nǝm dondi zauro zau COVID-19'a leyata dǝ nǝm mbeji kǝndawa nǝlewabe buroman mbeji'a leyataye fǝlezǝna nǝm ngalwo COVID-19 suro am nǝm dondi laa buroman sandiya zǝkcinyen kaltǝgǝbe.
The findings in this report are subject to at least six limitations.
Awowa rifot allan tuwandǝna dǝ dalil gananzǝ yaye awowa arakkǝ anyi sandiro ta'asa saudinyen waano.
First, these data are preliminary, and the analysis was limited by missing data related to the health department reporting burden associated with rapidly rising case counts and delays in completion of information requiring medical chart review; these findings might change as additional data become available.
Kǝn tilo mi dǝ, sapsawi bayanbe anyi badiyarambe, kuru kulashi dǝ'a fattǝgǝ sapsawi bayanbeye naskanzǝna dalil rifot yado fella nǝlewabe do ngǝwutǝ kessabe ye sǝkkǝ zauro ngvnvwu-a ro walzǝna, kuru loktu banna nasha 'medical chart review' bayan mǝradǝzvna tamotǝbe-a; awowa tuwandǝna anyi waniye faltin bayan gade tuwandinna son.
Information on underlying conditions was only available for 7,162 (5.8%) of 122,653 cases reported to CDC.
Bayan kǝla kǝndawa nǝlewabe buroman mbejiye dǝ am 7,162 (5.8%) basye mbeji wo suro kessa 122,653 ye CDC ro rifot tǝdǝnayen.
It cannot be assumed that those with missing information are similar to those with data on either hospitalizations or underlying health conditions.
Mowonzǝ amm do bayannanza fattǝgǝna dǝ am sapsawi bayanzabe mbeji'a tilo ro gotimba wo nasha litarin rotaben au kǝnda nǝlewabe buroman mbejiyen.
Second, these data are subject to bias in outcome ascertainment because of short follow-up time.
Kǝn indi mi, sapsawiya bayanbe anyi mowonzǝ waniye kalkal gǝnyi ro waljin dalil loktu ngǝlaro tawattǝgǝye baa yen.
Some outcomes might be underestimated, and long-term outcomes cannot be assessed in this analysis.
Tamoramwa au awowa tuwandǝna laa dǝ affima gǝnyi ro gotin, kuru awowa loktu kuruwu lan tuwandǝna dǝ mowonzǝ kulashi adǝ lan kulastimba.
Third, because of the limited availability of testing in many jurisdictions during this period, this analysis is likely biased toward more severe cases, and findings might change as testing becomes more widespread.
Kǝn yakkǝ mi, loktu allan ganatǝ test au jarabtǝye na'a kada lanye sǝkkǝ, kulashi adǝ kessa zauro zau so ro cissǝgǝnyi ro waljin, kuru awowa tuwandin dǝ faltin test dio dǝ ndara son mbeji ro waljinna son.
Fourth, because of the descriptive nature of these data, attack rates among persons with and without underlying health conditions could not be compared, and thus the risk difference of severe disease with COVID-19 between these groups could not be estimated.
Kǝn diyeu mi, sapsawi bayanbe adǝ ikkuwalto bas sǝdin dǝ ro, nǝm ngǝwu wakatǝ kwasabe suro am nǝm dondi laa buroman sandiya zǝkcin mbeji-a ba-a ye dǝ mowonzǝ gǝretimba, kuru adǝgai lan nǝm gade gade fujiwo kwasa COVID-19be ndi kate jam'uwa anyi be dǝ mowonzǝ komtimba wo.
Fifth, no conclusions could be drawn about underlying conditions that were not included in the case report form or about different conditions that were reported in a single, umbrella category.
Kǝn uwu mi, tamoram jili wi ma mowonzǝ kǝla kǝndawa nǝlewabe suro fom rifot kesye ro tǝkkǝnyiyen gotimba au kǝla kǝndawa nǝlewabe do rifotnza suro jam'u falyen tǝdǝna ma soyen.
For example, asthma and COPD were included in a chronic lung disease category.
Misal ro, asǝma-a COPD-a dǝ suro jam'u kwasawa fufube zauro zau be ro tǝkkǝna.
Finally, for some underlying health conditions and risk factors, including neurologic disorders, chronic liver disease, being a current smoker, and pregnancy, few severe outcomes were reported; therefore, conclusions cannot be drawn about the risk for severe COVID-19 among persons in these groups.
Dare dajiram lan, kǝndawa nǝlewabe buroman mbeji-a awowa nǝlewa ro fujiwo sawudin laa soro, suro dǝn mbeji "neurologic disorder"-a, kwasa kǝmattǝnbe zauro zau-a, kǝrmaa ro tafa kǝnza ma ro waltǝ-a, nǝm de gǝnyi-a so ro, tamoramwa zauro zau ganaye rifot tǝdǝ; adǝ nanka dǝ ro, tamoramwa kǝla fujiwo COVID-19 zauro zauyen gotimba dawu am do jam'u anyi lan dasaanabe lan.
Persons in the United States with underlying health conditions appear to be at higher risk for more severe COVID-19, consistent with findings from other countries.
United States lan am do nǝm dondi laa buroman sandiya zǝkcin mbeji sodǝ sandima fujiwo COVID-19 zauro zauye sandiya sǝtayinye suron kasharu wo, awowa lardǝwa gade lan tuwandǝna'a kalkalzǝna.
Persons with underlying health conditions who have symptoms of COVID-19, including fever, cough, or shortness of breath, should immediately contact their health care provider.
Am nǝm dondi laa buroman sandiya zǝkcin mbeji kuru alamawa COVID-19be fanzayin, kange-a, kasau-a au yintǝ ngǝlaro fandǝm gotǝ baa-an kunten so dǝ duwa ro am nǝlewa ro cistaamanza so naazaa.
These persons should take steps to protect themselves from COVID-19, through washing their hands; cleaning and disinfecting high-touch surfaces; and social distancing, including staying at home, avoiding crowds, gatherings, and travel, and avoiding contact with persons who are ill.
Am anyi katapwa kǝlanza COVID-19 ro yitkawobe gozana ma ngǝlawo, mukkonza tulta men; na'a ngǝwu ro letin kadawu ba ro dio-a kuru kuliwa kwasa sawudin yezo-a; kuru am ro cintutǝ-a, faton naptǝ-a, jumla amma-a, samno-a, bǝlaguro-a ro katǝ-an kunten, kuru am dondi ro letǝgǝ ro katǝ-a.
Maintaining at least a 30-day supply of medication, a 2-week supply of food and other necessities, and knowledge of COVID-19 symptoms are recommended for those with underlying health conditions.
Kurunna gananzǝ yaye kau fiyakkǝbe mbeji ro dio-a, karewa kǝmbube-a awowa gade mǝradǝtǝna magǝ indiye mbeji ro dio-a, kuru notǝ alamawa COVID-19be-a samma am nǝm dondi laa buroman sandiya zǝkcin ro tǝkǝra'ana.
All persons should take steps to protect themselves from COVID-19 and to protect others.
Am samma so katapwa kǝlanza COVID-19 ro yitkawobe gozana ma ngǝlawo kuru am gadeye tǝtkayin.
All persons who are ill should stay home, except to get medical care; should not go to work; and should stay away from others.
Am dondi samma so faton napsa, cistǝgǝ liyitabe matǝ ro gǝnyi ma; wande cida ro lezanyi; kuru am gade so ro cintuza.
This is especially important for those who work with persons with underlying conditions or who otherwise are at high risk for severe outcomes from COVID-19.
Adǝ taganasma ro am do am nǝm dondi laa buroman sandiya zǝkcinna au am suro fujiwo nǝm dondi COVID-19be zauye sandiya sǝtayinye lan kasharu'a cidazayin ro zauro faida.
Community mitigation strategies, which aim to slow the spread of COVID-19, are important to protect all persons from COVID-19, especially persons with underlying health conditions and other persons at risk for severe COVID-19–associated disease (https://www.cdc.gov/coronavirus/2019-ncov/downloads/community-mitigation-strategy.pdf).
Katapwa illa COVID-19be gana ro diobe suro ngurobe, do tartǝgǝ COVID-19ye gana ro sǝdiya sǝraana dǝ, am samma so'a yitkawo ro zauro faida, taganas ma ro am nǝm dondi laa buroman sandiya zǝkcin mbeji ma-a am suro fujiwo COVID-19 zau ye sandiya sǝtayin ye lan kasharu-a (https://www.cdc.gov/coronavirus/2019-ncov/downloads/community-mitigation-strategy.pdf).
What is already known about this topic?
Awi kǝla mau'du adǝyen buroman notǝna wo?
Published reports from China and Italy suggest that risk factors for severe COVID-19 disease include underlying health conditions, but data describing underlying health conditions among U.S. COVID-19 patients have not yet been reported.
Rifotta China-a Italy-a lan baktǝnaye fǝlejin awowa fujiwo nǝm dondi COVID-19be suwudinye suron nǝm dondi buroman kamma zǝkcin ma mbeji, amma sapsawi bayanbe kǝla kǝndawa nǝlewabe buroman mbeji dawu am COVID-19ye sǝtana sǝkkuwaltǝyin dǝ kuwa yaye rifotnzǝ tǝdǝnyi.
What is added by this report?
Awi rifot adǝye sǝra?
Based on preliminary U.S. data, persons with underlying health conditions such as diabetes mellitus, chronic lung disease, and cardiovascular disease, appear to be at higher risk for severe COVID-19–associated disease than persons without these conditions.
Sapsawi bayanbe badiyarambe U.S.be ro wungǝmmiya, am nǝm dondi laa buroman sandiya zǝkcin misallo kwasa shiwur yedei so, kwasa fufube zauro zau so, kuru kwasa karǝgǝ-a letǝ buye-a lezǝna-a, sandima alama suro fujiwo kwasa COVID-19ye sandiya sǝtayinbe lan kasharu, am kwasawa anyi tiyinzan ba'a kozana
What are the implications for public health practice?
Awi so illawa cida nǝlewa jama meuye ro cistaabe ro suwudin dǝ?
Strategies to protect all persons and especially those with underlying health conditions, including social distancing and handwashing, should be implemented by all communities and all persons to help slow the spread of COVID-19.
Fasalla am samma so yitkawo be taganasma ro am nǝm dondi laa buroman sandiya zǝkcin mbeji ma, suro dǝn mbeji kam so ro cintutǝ-a mukko tulta-a, koktǝna ma ngǝla wo ngurowa samma so-a am samma so-a dalil tartǝgǝ COVID-19be banatǝgǝ daptǝ nankaro.
Emergence of a Novel Coronavirus (COVID-19): Protocol for Extending Surveillance Used by the Royal College of General Practitioners Research and Surveillance Centre and Public Health England
Luwo au fǝlangtǝ koronabairos bǝlinye (COVID-19): Ka'idawa Shim Ikko Gǝrtǝgǝbe "Royal College of General Practitioners Research and Surveillance Centre and Public Health England"ye faidatǝna ma.
The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) and Public Health England (PHE) have successfully worked together on the surveillance of influenza and other infectious diseases for over 50 years, including three previous pandemics.
'Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC)-a kuru Public Health England (PHE)be-a dǝ rokko kǝla 'influenza'-a kwasawa gade kam ro faltǝyin-a ro shim ikkoyen kǝnasarra ro saa fiwun samin ro cidazana, suro dǝn fǝlangtǝ au wawa yakkǝ burobe mbeji.
With the emergence of the international outbreak of the coronavirus infection (COVID-19), a UK national approach to containment has been established to test people suspected of exposure to COVID-19.
Luwo au fǝlangtǝ kwasa coronavirus (COVID-19) ye d dunya samma ro tartǝgǝnaye dǝn, lardǝ UKbe katap kwasa dǝ'a na fal ro saptǝgǝye gotǝna am COVID-19 ro letaana ro tǝmatǝna ro tes dio men.
At the same time and separately, the RCGP RSC’s surveillance has been extended to monitor the temporal and geographical distribution of COVID-19 infection in the community as well as assess the effectiveness of the containment strategy.
Loktu fallan kuru yekkata ro, shim ikko RCGP RSCbe-a dǝ mattǝ samtǝ COVID-19ye suro ngurowabe lan ninitǝgǝ badizǝna kuru adǝgaima fasal tartǝgǝnzǝ daptǝye dǝye faidanzǝ kulasta-a.
The aims of this study are to surveil COVID-19 in both asymptomatic populations and ambulatory cases with respiratory infections, ascertain both the rate and pattern of COVID-19 spread, and assess the effectiveness of the containment policy.
Awowa kǝra adǝye nganzazǝna dǝ shima COVID-19 ro shim ikko suro jumla alama fǝletǝ badizanyi-a kuru kessa fomzayin ma do tiyinzan kwasa yintǝbe mbeji-a, kuru nǝm ngǝwu-a futu COVID-19 tartǝyin notǝ-a, kuru faidatǝ ka'ida daptǝgǝye dǝ kulasta-a.
The RCGP RSC, a network of over 500 general practices in England, extract pseudonymized data weekly.
RCGP RSC dǝ, 'network' 500 samin cidawu nǝlewabe lardǝ Englandye dǝ, magǝ wo son sapsawi bayanbe su kattuwube'a sutuluyin.
This extended surveillance comprises of five components: (1) Recording in medical records of anyone suspected to have or who has been exposed to COVID-19.
Shim ikko gǝrtǝna adǝ awowa uwu suronzǝn dǝga: (1) Suro rekod litaribe lan ndu yaye COVID-19 tiyinzǝn mbeji ro tǝmatǝna au letǝgǝna ro tǝmatǝna rekod ro ikko
Computerized medical records suppliers have within a week of request created new codes to support this.
Am rekod litaribe kompiutaye yioma soye suro magǝ falyen suwa gǝra'ata bǝlin satandǝna adǝ banatǝ ro.
(2) Extension of current virological surveillance and testing people with influenza-like illness or lower respiratory tract infections (LRTI)—with the caveat that people suspected to have or who have been exposed to COVID-19 should be referred to the national containment pathway and not seen in primary care.
(2) Nasha kuli kwasabe ro shim ikko gǝrtǝgǝ-a kuru am nǝm dondi tantanyi'a samunna au nǝm dondi diwal yintǝbe cidiyabe-a ro tes dio--- am do sandi lan COVID-19 mbeji rotǝmatǝna au shiro letana ro tǝmatǝna dǝ diwal daptǝgǝ lardǝbe ro zutǝgǝna ma ngǝla wo ro sumo gǝrta-a kuru wande na nǝlewa ro cistǝgǝ badiyarambe ro sandiya taadǝnyi.
(3) Serology sample collection across all age groups.
(3) Kura ba gana ba ro bu gotǝ tes shiro "Serology" gulzayin dǝ tǝdǝ.
This will be an extra blood sample taken from people who are attending their general practice for a scheduled blood test.
Adǝ am do buro man tes buye ro isana so dǝ ro bu gota gade ro waljin.
The 100 general practices currently undertaking annual influenza virology surveillance will be involved in the extended virological and serological surveillance.
Awowa 100 noata tǝdinma kǝmaa ro shima shim ikko kuli kwasa influenza be saa wo son tǝdin dǝ kǝla ro gozǝna dǝye tǝkkin nasha shim ikko kuli kwasabe-a 'serological'be-a lan.
(4) Collecting convalescent serum samples.
(4) Awo shiro "convalescent serum sample" gulzayin dǝ mowo.
We have the opportunity to escalate the data extraction to twice weekly if needed.
Duluwunde sapsawi bayan tulobe magǝ lan indiro diobe mbeji mǝradǝtǝna maa.
Swabs and sera will be analyzed in PHE reference laboratories.
Awo tes dio be shiro 'swab' sayin dǝ-a 'sera'-a dǝ lab PHE be lan kulastǝ turin.
General practice clinical system providers have introduced an emergency new set of clinical codes to support COVID-19 surveillance.
Am nzundu cida litaribe noatama gǝmtǝgǝma soye lamar COVID-19be ro shim ikko nankaro sandiye fasal ashirbe litarin faidatǝbe yita gatsaana.
Additionally, practices participating in current virology surveillance are now taking samples for COVID-19 surveillance from low-risk patients presenting with LRTIs.
Adǝ ro nzǝra lan, cidawa do lamar kuli kwasabe ro shim ikkobe kǝmaabe ro rǝbtaana so dǝ, kǝmaa dǝ samfǝrwa gozayin COVID-19 nasha am fujiwo gana lan kasharu amma LRTI so mbeji ro shim ikko ro
Within the first 2 weeks of setup of this surveillance, we have identified 3 cases: 1 through the new coding system, the other 2 through the extended virology sampling.
Suro magǝ indi lamar shim ikkobe adǝ koktǝna lan, andeye lamarra au kessa yakkǝ asunyena: Fal dǝ nzundu ashirbe bǝlin dǝ futa men, indi gabsǝna nasha samfǝr kuli kwasabe gotabe gǝrrata me dǝn.
We have rapidly converted the established national RCGP RSC influenza surveillance system into one that can test the effectiveness of the COVID-19 containment policy.
Andeye tini RCGP RSC lardǝbe nzundu tantanyi 'influenzaa' ro shim ikkobe koktǝna ma dǝ'a raksǝ ka'idawa COVID-19 na fallan dapkǝgǝm rotabeye faidanzǝ jarabtǝye ro kalakkaiye.
The extended surveillance has already seen the use of new codes with 3 cases reported.
Shim ikko gǝrtǝgǝna dǝye ba burozǝ faida kalimawa au suwa ashirbe bǝlinye dǝ suruna, kessa 3 bǝlinye rifot tǝdǝna dǝn.
Rapid sharing of this protocol should enable scientific critique and shared learning.
Ka'ida adǝ faidatǝ ngǝwu dǝ kushe tǝ nasha ilmuye yita mowonzǝyin kuru kǝlo ndi kate ammabe ye yita mowonzǝyin.
The Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) is a network of general practices (GPs) with a nationally representative population that provides pseudonymized data for weekly surveillance of infectious diseases.
"Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC)" dǝ kǝlkǝlno "network" cidawa noatabe 'general practices(GPs)' ma do jumlanzǝ lardǝbe sha wakkiltǝma do sapsawi bayanbe do su kattuwube'a cin, kwasawa am ro faltǝyin ro shim ikko magǝ magǝn tǝdin dǝ ro.
The disease surveillance program is commissioned by Public Health England (PHE) and covers 37 infectious diseases, including influenza.
Dawarno kwasa ro shim ikkobe dǝ Public Health England (PHE) sha sutuluwu kuru kwasawa kammo faltayin 37 zaksǝ, influenza kunten.
The RCGP RSC and PHE have an established collaboration of over 50 years in influenza and respiratory disease surveillance and are now in their 53rd season of surveillance and analysis.
RCGP RSC -a PHE-a dǝ gawana kǝl saa fiwu ma kozǝna sadǝna nasha kwasa influenza-a kwasawa yintǝbe gade-a ro shim ikkobe lan, kuru kǝmaadǝ ro suro saanza shim ikkobe-a kulashibe-a kǝn 53 fiwun yakkǝn yen kasharu.
The RCGP RSC extracts pseudonymized data from a nationally representative sample of over 500 urban and nonurban GPs each week covering a population of over 4 million.
RCGP RSC dǝ sapsawi bayanbe su kattuwube'a samfǝr wakkiltǝma lardǝbe GPwa 500 ma kozǝna bǝrnibe-a bǝrnibe gǝnyi-a sutuluyin magǝ wo son, jumla am miliyon diyeu ma kozǝnabe adǝgaiyin zakcin.
Data from these practices are reported online in a weekly return, which includes monitoring weekly rates of influenza-like illness (ILI) and other communicable and respiratory diseases in England.
Sapsawi bayanbe cidawa anyibe dǝ 'online' lan rifotnza tǝdin magǝ lan, adǝye suron mbeji magǝ wo son ninitǝgǝ nǝm dondi infuluyenza'a samunzǝna-a kuru kwasawa gade kammo faltǝyin-a yintǝbe-a lardǝ Englandbe lan.
We also produce an annual report.
Andeye kuru rifot saaye tuluwuyen.
The RCGP RSC data set includes all coded data and all prescribed items including vaccine exposure.
Sapsawi bayanbe RCGP RSCye dǝ suronzǝn sapsawi bayanbe ashirtǝna-a kuru karewa gade ruotǝna-a, kalimi gotan kunten.
The RCGP RSC conducts virology surveillance each influenza season, with 100 GPs participating in the 2019-2020 season (Figure 1).
RCGP RSC dǝ zaman tantanyiyewo son kulashi kuli kwasabe dǝ sǝdin, GPwa 100 rǝbtaana suro zamanzǝ din saa 2019-2020.
These virology sampling practices are also recruited to be nationally representative (Figure 1).
Cidawa samfǝr nazaru kuliya ye anyi sandiya allamtǝna lardǝ zam wakkiltǝ ro.
GPs take nasopharyngeal swabs from persons showing acute respiratory illness within 7 days of the onset of symptoms.
GPs so dǝ samfǝr kǝnza men gotin shiro "nasopharyngeal swab" sayin dǝ am nǝm dondi yintǝbe fǝlezayinbe gozayin, suro kau 7 alamawa nǝm dondiye badizǝnayen.
Nasopharyngeal swabs are taken from children younger than 5 years showing symptoms of acute bronchitis or bronchiolitis.
"Nasopharyngeal swabs" dǝ nduli saa uwun cidiyannin alamawa kwasa 'bronchitis' be au 'bronchiolitis'be fǝlezana ye lan gotin.
Additionally, nasopharyngeal samples are taken from anyone 5 years and older showing acute onset of ILI and respiratory synctial virus.
Adǝ ro nzǝra lan, "nasopharyngeal sample" dǝ na kam saa uwun saminna do alama badiyaram nǝm dondi infuluyenzabe zau ma-a kuru "respiratory synctial virus"-a fǝlezǝnabe lan gotin.
Swabs are tested at the PHE Respiratory Virus Unit for influenza to monitor positivity rates and circulating strains, as well as for measuring vaccine effectiveness.
Awo samfǝr gotabe 'swab" dǝ na shiro "PHE Respiratory Virus Unit for influenza" sayin dǝn tesnza au jarawanza tǝdin, nǝm mbeji kuli kwasabe-a jili kuli kwasabe fomjin ninitǝgǝ ro, kuru faida kalimibe ngaltǝ ro
The RCGP RSC successfully conducted a pilot collecting serological samples from adults and linking them to a patient’s medical records during the 2018-2019 influenza season.
RCGP RSC dǝ kǝnasarra ro "serological sample" ammurawabe gozǝ daji rekod litaribe am dondiye'a kǝllono suro zaman infuluyenza saa 2018-2019 ye dǝn.
This pilot was in collaboration with the PHE Seroepidemiology Unit and added to the residual blood samples submitted to PHE by National Health Service (NHS) laboratories.
Cida do jarrabtǝbe shiro "pilot" sayin adǝ ngawana kǝl "PHE Seroepidemiology Unit" be lan cedo kuru samfǝrra buye PHE ro labwa 'National Health Services"ye gǝmzǝgǝna dǝ ro sasarana.
Serology can provide important information about background population immunity, and sentinel networks can provide a mechanism for systematic data collection and linkage to medical records and health outcomes.
"Serology" ye raksǝ bayan faida-a kǝla kǝmbafi tiyi jumla ammayen cin, kuru daji netwokka hangal gǝnatǝbe soye duluwu sapsawi bayanbe nzundu lan gotabe mbeji ro sadinye kuru rekod wa liyitabe-a tamoramwa nǝlewabe-a kǝlzayin.
The serology pilot has demonstrated the ability of the network to collect serology samples in adults.
"Serology pilot"ye raktǝ netwok dǝye samfǝrwa serologybe ammurawaye na lan mowobe fǝlezǝna.
With the COVID-19 outbreak, PHE and RCGP RSC have adapted existing influenza surveillance to monitor the spread of COVID-19 in the community, and this protocol sets out the basis for that collaboration.
Fǝlangtǝ COVID-19be dǝn, PHE-a RCGP RSC duluwu infuluyenza ro shim ikkobe caman mbeji ma faidata tartǝgǝ COVID-19be suro nguroben ninitǝgǝ nankaro, kuru ka'ida adǝye dalil ngawana kǝl diobe dǝ cina.
The primary national strategy for COVID-19 infection is containment, with patients who are at high risk managed via the telephone help system NHS111 and the PHE health protection teams, but the RCGP RSC surveillance is entirely separate.
Fasal badiyarambe lardǝbe kwasa COVID-19be kǝriutǝbe dǝ shima daptǝgǝ au na fallo sapta, am dondi zauro suro fujiwobe lan dasaana so dǝ lai wayabe NHS111-a kuru 'PHE timnzǝ nǝlewa yitkawobe-aye me dǝn sandi ro cistǝyinna ro, amma RCGP RSC dǝ ruwunzǝ ro kara.
The RCGP RSC, by extending its established work, will provide virological and serological surveillance to monitor the temporal and geographical distribution of COVID-19 infection in the community, and assess the effectiveness of the containment strategy.
RCGP RSC dǝ, cidanzǝ kokkata dǝ grtǝgǝ men, shim ikko "virological-a serological" mbeji ro sǝdin tartǝgǝ kwasa COVID-19be suro nguroyen loktu-a kuru na tartǝyin-a ninita ro, kuru faidatǝ fasal daptǝgǝbe dǝ kulasta nanka ro.
We would not be working in isolation on this research.
Kǝla kulashi adǝyen cida suro ngultǝyen diyemba.
We will share the protocol with UK colleagues and the I-MOVE consortium who have recently obtained EU Horizon 2020 funding from the stream “Advancing knowledge for the clinical and public health response to the novel coronavirus epidemic”.
Andye ka'idawa cidabe anyi rokko sawaande cidabe UKbe-akuru I-MOVE consortium-a faidatiyen, sandi do karungu ro kunguna "EU Horizon 2020 funding"be sowandana dǝ na “Advancing knowledge for the clinical and public health response to the novel coronavirus epidemic” ye lan.
It is anticipated that great efficiencies in project management will result through this collaboration than that obtained from countries acting alone.
Ngawana kǝl adǝ men cida zauro ngǝla tǝmatǝna nasha cida ro cistǝgǝbe lan, lardǝwa ruunza cidazayin so dǝ'a kozǝna.
The aim of this study is to identify whether there is undetected community transmission of COVID-19, estimate population susceptibility, and monitor the temporal and geographical distribution of COVID-19 infection in the community.
Awo kǝra adǝye nganzazǝna dǝ shima tartǝgǝ COVID-19be notǝnyi suro nguroben mbeji la ba ro asutǝ, jumla'a futu kǝske lan au kǝske gǝyi lan kwasaye sǝtayin komtǝ-a, kuru samtǝ loktu-a na kwasa COVID-19be suro nguroben tartǝyin ninita.
The objectives of this study are as follows:
Awowa kǝra adǝye nganzazǝna dǝ sandima.
To monitor the burden of suspected COVID-19 activity in the community through primary care surveillance and clinical coding of possible COVID-19 cases referred into the containment pathway
Kǝrau lamar COVID-19be tǝmatǝna suro nguroyen ninita duluwu shim ikko nǝlewa ro cistǝgǝ badiyarambe men-a kuru su ashirbe litarin kessa COVID-19ye zawal daaptǝgǝye ro zutǝgǝna dǝ ro ikko.
To provide virological evidence on the presence and extent of undetected community transmission of COVID-19 and monitor positivity rates among individuals presenting ILI or acute respiratory tract infections to primary care
Shada nasha 'virology'ye kǝla nǝm mbeji-a kuru nǝm ngǝwu tartǝgǝ COVID-19be suro ngurobe notǝnyi-a kuru dawu am kwasa infuluyenza'a samun tiyinzan mbeji au kwasa zawal yintǝbe tiyinzan mbejiye lan "positive" ro waltǝ ninita kuru sandiya cistǝgǝ badiyarambe ro ikko.
To estimate baseline susceptibility to COVID-19 in the community and estimate both symptomatic and asymptomatic exposure rates in the population through seroprevalence monitoring
Suro nguroben COVID-19ye amma kǝnta komtǝ-a kuru kwasa dǝ ro am letaana do alamawa fǝlezana-a fǝlezanyi-a komtǝ suro ngurobe lan awo shiro 'seroprevalence monitoring' gulzayin dǝ futa men.