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Journal ArticleDOI

Intense and Mild Wave of COVID-19 in the Gambia: A Cohort Analysis

Anna Roca1
11 Dec 2020-medRxiv (Centers for Disease Control and Prevention)-
TL;DR: The cumulative incidence rate for SARS-CoV-2 infection among MRCG staff (excluding those with occupational exposure risk) was at least 20-fold higher than the estimations based on diagnosed cases in the adult Gambian population.
Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is evolving differently in Africa than in other regions. Africa has lower SARS-CoV-2 transmission rates and milder clinical manifestations. Detailed SARS-CoV-2 epidemiologic data are needed in Africa. We used publicly available data to calculate SARS-CoV-2 infections per 1,000 persons in The Gambia. We evaluated transmission rates among 1,366 employees of the Medical Research Council Unit The Gambia (MRCG), where systematic surveillance of symptomatic cases and contact tracing were implemented. By September 30, 2020, The Gambia had identified 3,579 SARS-CoV-2 cases, including 115 deaths; 67% of cases were identified in August. Among infections, MRCG staff accounted for 191 cases; all were asymptomatic or mild. The cumulative incidence rate among nonclinical MRCG staff was 124 infections/1,000 persons, which is >80-fold higher than estimates of diagnosed cases among the population. Systematic surveillance and seroepidemiologic surveys are needed to clarify the extent of SARS-CoV-2 transmission in Africa.

Summary (3 min read)

Introduction

  • By the end of October 2020, the severe acute respi-ratory syndrome coronavirus 2 (SARS-CoV-2) pandemic had spread to 6 continents and caused >45 million coronavirus disease (COVID-19) cases and 1.1 million deaths (1).
  • Of note, severe COVID-19 cases seem to occur less frequently in Africa than in the rest of the world (4).
  • Several factors have been proposed to explain this.
  • Detailed SARS-CoV-2 epidemiologic data are needed in Africa.
  • Among infections, MRCG staff accounted for 191 cases; all were asymptomatic or mild.

Population Demographics, Climate, and Healthcare Structure

  • The illiteracy rate is high across the country.
  • Around 59% of the population live in urban and peri-urban settings, mainly along the coast (Figure 1).
  • The climate is typical of the sub-Sahel region, including a long dry season during November–May and a short rainy season during June–October.
  • The government of The Gambia is the main health provider, and healthcare delivery has 3 tiers, based on the primary healthcare strategy in which most healthcare delivery occurs at local health posts.
  • The system is complemented by 34 private and nongovernmental organization clinics.

COVID-19 Response in The Gambia

  • Shortly after the first COVID-19 case was detected in The Gambia on March 19, 2020, the country closed its international land, sea, and air borders.
  • On March 27, the country declared a state of emergency, which included closing schools, nonessential shops, places of worship, and many workplaces.
  • The Ministry of Health, supported by several international organizations, set up a hotline for the public, which persons, including those with suspected cases, could call to ask for advice or request the surveillance team to perform the SARS-CoV-2 test either at health facilities or at home.
  • Demand for testing services was not high, and attempts to raise awareness were unsuccessful.
  • Ministry of Health staff traced and quarantined contacts for 10 days in hotels during the early part of the outbreak, April–July 2020, after which persons were permitted to self-isolate for 10 days at home.

MRCG Unit

  • MRCG is a biomedical research institution that also provides outpatient and inpatient clinical care to the local population through its clinical services department (CSD).
  • MRCG staff work in different environments, including 715 (53.5%) field-based staff, such as drivers, community workers, nurses, and research clinicians; 334 (25.0%) office-based staff, including those in administrative, operations, data-management, and statistics positions; and 177 (13.2%) laboratory-based staff.
  • CSD is 1 of 2 hospital facilities in The Gambia able to care for severe COVID-19 patients.
  • From the start of the epidemic, all staff were trained to wear appropriate personal protective equipment (PPE) according to international guidelines (17).
  • Staff deemed to be at high risk for severe disease were advised to work from home and were excluded from high-risk clinical areas.

Surveillance and Contact Tracing among MRCG Staff

  • In July 2020, MRCG established enhanced passive case detection by testing all staff exhibiting COVID-19 symptoms, such as cough, fever, headache, sore throat, nasal congestion, body pain, or other influenza-like symptoms.
  • Families and contacts of symptomatic staff also were tested, as were staff known to have been exposed to confirmed cases.
  • MRCG set up a hotline manned by doctors from whom staff could receive answers to questions or concerns and get information on how to access services.
  • Case contacts were called to confirm exposure and then tested 3–5 days after the last exposure.
  • Regardless of negative test results, all exposed staff were quarantined for 14 days; SARSCoV-2–positive staff isolated in their homes for 14 days, or at the MRCG site if at-home isolation was not possible, in line with WHO recommendations (18).

Sample Collection

  • Samples were collected via nasopharyngeal swab, oropharyngeal swab, or both by using FLOQSwabs (COPAN Diagnostics, https://www.copanusa.com).
  • Samples were placed in single tubes containing universal transport medium (COPAN Diagnostics) and delivered to the laboratory within 24 hours.
  • Sampling methods were comparable across cohorts with similar operational procedures and training.

Laboratory Methods for SARS-CoV-2 Detection

  • MRCG laboratories collaborated with national public health laboratories to support national testing throughout the country during the epidemic.
  • MRCG and these laboratories used the same laboratory methods and assays.
  • The standard test for COVID-19 diagnosis in The Gambia is real-time reverse transcription PCR of SARS-CoV-2–specific viral gene sequences.
  • Initial extractions were performed manually by using the QIAamp Viral RNA Mini Kit (QIAGEN, https:// www.qiagen.com) or the IndiSpin Pathogen Kit (INDICAL BIOSCIENCE, https://www.indical.com).

Statistical Analysis

  • The authors calculated rates of risk for COVID-19 per 1,000 persons among the population of The Gambia.
  • For MRCG, the authors stratified rates by occupational clinical exposure for staff working at the CSD versus nonCSD staff.
  • The Ministry of Health generated daily national data for The Gambia (22).
  • The authors extracted compiled data from the publicly available Johns Hopkins University COVID-19 database (23).
  • The Gambian Government/ MRCG Joint Ethics committee approved the study (reference no. L2020.E37).

Results

  • Persons <25 years of age and persons >60 years of age are underrepresented in the MRCG cohort compared with the population of The Gambia, .
  • In addition, urban residents are overrepresented in the MRCG cohort; 67.6% of MRCG staff live in cities or towns compared with 59.4% of the overall population.

SARS-CoV-2 Positivity Rates

  • The number of samples collected and the positivity rate were the highest during August–September 2020, during which time the number of daily swabs collected varied from 28 to 524/day (median 184/day) (Figure 2).
  • Positivity rate also varied substantially, from <5% to >50%.
  • Approximately 67% of confirmed cases were detected in August; overall, 60% of confirmed cases were among persons <40 years of age (20).
  • During July 1–September 30, a total of 937 samples were collected from the MRCG cohort; 191 Table.
  • ‡For MRCG staff location, the authors considered the workplace rather than the living place.

Rates of Infection and Death

  • During the same period, 115 COVID-19 deaths were recorded across the country.
  • Among MRCG staff, stratified analysis showed that infection rates among CSD staff were 2.6 times higher than among non-CSD staff, whom the authors considered representative of the infection risk among the general population (Figure 3, panel B).
  • By the end of September, the cumulative risk for infection among non-CSD MRCG staff was ≈124/1,000 persons (Figure 3, panel B).
  • All 191 confirmed cases among MRCG staff were either asymptomatic or mildly symptomatic; no cases met WHO criteria for moderate or severe pneumonia and no deaths occurred in this cohort.

Discussion

  • The COVID-19 pandemic arrived in The Gambia in July 2020, later than in most countries in the world.
  • This estimation contrasts sharply with the 3,579 cases reported during the same period across the country and in all age groups, a discrepancy that could be partly explained by the high occurrence of asymptomatic or mildly symptomatic infections and the national testing strategy that used passive case detection and targeted symptomatic persons.
  • The authors considered MRCG staff outside the clinical service department to be at the same risk for COVID-19 as the rest of the population.
  • Such damage includes diversion of financial and personnel resources from other services to the COVID-19 response, changes in healthcare seeking behavior, reduced availability of medicines for acute and chronic diseases, and disruption of routine vaccination services (29–33).
  • In conclusion, SARS-CoV-2 transmission in The Gambia was intense over a short period.

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2064 EmergingInfectiousDiseases•www.cdc.gov/eid•Vol.27,No.8,August2021
RESEARCH
B
y the end of October 2020, the severe acute respi-
ratory syndrome coronavirus 2 (SARS-CoV-2)
pandemic had spread to 6 continents and caused
>45 million coronavirus disease (COVID-19) cases
and 1.1 million deaths (1). Despite having 15.6% of
the worldwide population (2), by October 31, 2020,
Africa had only 3.9% (1.76 million) of the world’s
COVID-19 cases and 3.6% (42,233) of deaths during
the pandemic (1). Data suggest that the pandemic
is evolving differently in sub-Saharan Africa com-
pared with the rest of the world and that the out-
break started later (3).
Of note, severe COVID-19 cases seem to occur
less frequently in Africa than in the rest of the world
(4). Several factors have been proposed to explain
this. Age is likely a major factor because older per-
sons are at higher risk for severe disease, but Africa
has an extremely young population; >60% of persons
are <25 years of age (5). However, variation of CO-
VID-19 severity with age alone does not fully explain
the observed differences (4). Clinical cases and deaths
in Africa likely are underreported because systematic
surveillance is limited and no systematic death regis-
tration exists; thus, the true SARS-CoV-2 burden prob-
ably is underestimated (4). Nevertheless, local health
systems in Africa, which have a lower capacity to deal
with COVID-19 patients than healthcare systems in
high-resource settings, were not overwhelmed, even
at the peak of the epidemic (6). Although potential
Intense and Mild First
Epidemic Wave of Coronavirus
Disease, The Gambia
BaderinwaAbatan,OrighomisanAgboghoroma,FataiAkemoke,MartinAntonio,BabatundeAwokola,
MustaphaBittaye,AbdoulieBojang,KalifaBojang,HelenBrotherton,CarlaCerami,EdClarke,
UmbertoD’Alessandro,ThushandeSilva,MariamaDrammeh,KarenForrest,NatalieHofmann,
SherifoJagne,HawanatuJah,SheikhJarju,AssanJaye,ModouJobe,BeateKampmann,
BubaManjang,MelisaMartinez-Alvarez,NuredinMohammed,BehzadNadjm,
MamadouOusmaneNdiath,EsinNkereuwem,DavisNwakanma,FrancisOko,EmmanuelOkoh,
UduakOkomo,YekiniOlatunji,EniyouOriero,AndrewM.Prentice,CharlesRoberts,AnnaRoca,
BabandingSabally,SanaSambou,AhmadouSamateh,OusmanSecka,AbdulKarimSesay,
YankubaSinghateh,BubacarrSusso,E󰀨uaUsuf,AminataVilane,OghenebrumeWariri
1,2
Authora󰀩liations:MedicalResearchCouncilUnitTheGambiaat
theLondonSchoolofHygieneandTropicalMedicine,London,
UK(B.Abatan,O.Agboghoroma,F.Akemoke,M.Antonio,
B.Awokola,A.Bojang,K.Bojang,H.Brotherton,C.Cerami,
E.Clarke,U.D’Alessandro,T.deSilva,K.Forrest,N.Hofmann,
H.Jah,S.Jarju,A.Jaye,M.Jobe,B.Kampmann,M.Martinez-
Alvarez,N.Mohammed,B.Nadjm,M.O.Ndiath,E.Nkereuwem,
D.Nwakanma,F.Oko,E.Okoh,U.Okomo,Y.Olatunji,E.Oriero,
A.M.Prentice,A.Roca,O.Secka,A.K.Sesay,B.Susso,E.Usuf,
A.Vilane,O.Wariri);MinistryofHealth,Banjul,TheGambia
(M.Bittaye,M.Drammeh,S.Jagne,B.Manjang,C.Roberts,
B.Sabally,A.Samateh,S.Sambou,Y.Singhateh)
DOI:https://doi.org/10.3201/eid2708.204954
1
Authorsarelistedinalphabeticalorder.
2
AllauthorswerepartoftheMRC/GambianGovernment
COVID-19WorkingGroupandcontributedequallytothisarticle.
The severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) pandemic is evolving di󰀨erently in Africa
thaninotherregions.AfricahaslowerSARS-CoV-2trans-
missionrates andmilder clinicalmanifestations. Detailed
SARS-CoV-2epidemiologicdataareneededinAfrica.We
usedpubliclyavailable data to calculateSARS-CoV-2in-
fectionsper1,000personsinTheGambia.Weevaluated
transmissionrates among1,366 employees ofthe Medi-
cal Research Council Unit The Gambia (MRCG), where
systematicsurveillanceofsymptomaticcasesandcontact
tracing wereimplemented. By September 30,2020, The
Gambiahad identied3,579 SARS-CoV-2 cases,includ-
ing 115 deaths; 67%of cases were identied inAugust.
Amonginfections,MRCGsta󰀨accountedfor191cases;all
wereasymptomaticormild.Thecumulativeincidencerate
among nonclinical MRCG sta󰀨 was 124 infections/1,000
persons,whichis>80-foldhigherthanestimatesofdiag-
nosed cases among the population. Systematic surveil-
lanceandseroepidemiologicsurveysareneededtoclarify
theextentofSARS-CoV-2transmissioninAfrica.

EmergingInfectiousDiseases•www.cdc.gov/eid•Vol.27,No.8,August2021 2065
avoidance of medical care during the pandemic, as
described in other regions (7), could partly explain
the low number of hospitalized patients, the milder
COVID-19 disease severity reported appears to be
genuine, and several biologic and environmental fac-
tors have been proposed as potential contributing
factors (810).
Recent serosurveys conducted in Kenya, Malawi,
and South Africa showed that community transmis-
sion was several times higher than that detected by
surveillance; 5%–40% of the population had SARS-
CoV-2 IgG (1113). Such results highlight the need for
robust epidemiologic studies to assess the extent of
community transmission in different regions in Africa.
The Gambia is the smallest country in continen-
tal mainland Africa and is surrounded by Senegal,
except for its narrow Atlantic coast. Although an im-
ported case was identied in The Gambia on March
17, 2020, by June 30, 2020, only 48 additional cases had
been detected. Nevertheless, a rapid increase in cases
was seen in July 2020, and by the end of September
2020, 3,579 cases were reported (1). The trajectory of
the epidemic in The Gambia is different from that in
Senegal, which has a population 7 times larger than
The Gambia. In Senegal, community transmission
was reported in early April 2020, and almost 7,000
cases were recorded by the end of June (1). Systemat-
ic surveillance, testing, contact tracing for staff of the
Medical Research Council Unit The Gambia (MRCG)
at the London School of Hygiene and Tropical Medi-
cine (https://www.mrc.gm) who had inuenza-like
symptoms was implemented during the pandemic;
the rst case among MCRG staff was identied on
July 18. We considered MRCG staff as a cohort to
provide additional insights into the nature of the CO-
VID-19 epidemic in The Gambia.
Methods
Population Demographics, Climate, and
Healthcare Structure
In 2020, The Gambia had a population of 2.42 mil-
lion. The median age is 17.8 years, and 41.9% of
the population are 20–64 years of age. About 95% of
the population is Muslim. The illiteracy rate is high
across the country. Around 59% of the population
live in urban and peri-urban settings, mainly along
the coast (Figure 1).
The climate is typical of the sub-Sahel region,
including a long dry season during November–May
and a short rainy season during June–October. Maxi-
mum temperature is high throughout the year, 30°C–
34°C, and lowest during the rainy season; minimum
temperatures range from 22°C–24°C during the rainy
season to 16°C−20°C during the dry season (14). Hu-
midity can be >80% during the rainy months (15).
The government of The Gambia is the main
health provider, and healthcare delivery has 3 tiers,
based on the primary healthcare strategy in which
most healthcare delivery occurs at local health posts.
The Gambia has 4 tertiary hospitals, 38 health centers
at the secondary level, and 492 health posts at the pri-
mary level. The system is complemented by 34 pri-
vate and nongovernmental organization clinics.
COVID-19 Response in The Gambia
Shortly after the rst COVID-19 case was detected in
The Gambia on March 19, 2020, the country closed its
international land, sea, and air borders. On March 27,
the country declared a state of emergency, which in-
cluded closing schools, nonessential shops, places of
worship, and many workplaces. Initial SARS-CoV-2
testing by PCR was focused on identifying imported
cases and tracing and isolating case contacts, espe-
cially among travelers from Senegal. The Ministry of
Health, supported by several international organiza-
tions, set up a hotline for the public, which persons,
including those with suspected cases, could call to
ask for advice or request the surveillance team to per-
form the SARS-CoV-2 test either at health facilities or
at home.
As the epidemic progressed, the Ministry of Health
established testing facilities at strategic locations in the
most densely populated parts of the country, mainly
the western urban areas. Persons were encouraged to
go for testing if they were symptomatic or after contact
with a conrmed COVID-19 case. Demand for testing
services was not high, and attempts to raise awareness
were unsuccessful. All identied cases were isolated
in designated facilities regardless of symptoms until
considered noninfectious as per World Health Organi-
zation (WHO) guidelines (16). Ministry of Health staff
traced and quarantined contacts for 10 days in hotels
during the early part of the outbreak, April–July 2020,
after which persons were permitted to self-isolate for
10 days at home.
MRCG Unit
MRCG is a biomedical research institution that
also provides outpatient and inpatient clinical care
to the local population through its clinical servic-
es department (CSD). As of August 2020, MRCG
had 1,336 employees. Staff were distributed as fol-
lows: 845 were along the coast, mainly in Fajara;
158 were in Keneba; 116 were in the Central River
Division, mainly in Farafenni; and 217 were in the
MildFirstEpidemicWaveofCOVID-19,TheGambia

RESEARCH
2066 EmergingInfectiousDiseases•www.cdc.gov/eid•Vol.27,No.8,August2021
Upper River Division, mainly Basse (Figure 1).
MRCG staff work in different environments, includ-
ing 715 (53.5%) eld-based staff, such as drivers,
community workers, nurses, and research clinicians;
334 (25.0%) ofce-based staff, including those in ad-
ministrative, operations, data-management, and sta-
tistics positions; and 177 (13.2%) laboratory-based
staff. Only 110 (8.2%) MRCG staff provide health-
care to the general population at the CSD.
CSD is 1 of 2 hospital facilities in The Gambia able
to care for severe COVID-19 patients. CSD dedicat-
ed 42 beds for COVID-19 patients, including MRCG
staff and the general population. From the start of the
epidemic, all staff were trained to wear appropriate
personal protective equipment (PPE) according to in-
ternational guidelines (17).
MRCG staff underwent a clinician-administered
risk assessment in the early phases of the epidemic.
Staff deemed to be at high risk for severe disease were
advised to work from home and were excluded from
high-risk clinical areas.
Surveillance and Contact Tracing among MRCG Sta󰀨
In July 2020, MRCG established enhanced passive
case detection by testing all staff exhibiting COV-
ID-19 symptoms, such as cough, fever, headache, sore
throat, nasal congestion, body pain, or other inuen-
za-like symptoms. Families and contacts of symp-
tomatic staff also were tested, as were staff known to
have been exposed to conrmed cases. In addition,
CSD staff were offered active weekly PCR-based test-
ing, regardless of symptoms. MRCG set up a hotline
manned by doctors from whom staff could receive
answers to questions or concerns and get information
on how to access services. Case contacts were called
to conrm exposure and then tested 3–5 days after the
last exposure. Regardless of negative test results, all
exposed staff were quarantined for 14 days; SARS-
CoV-2–positive staff isolated in their homes for 14
days, or at the MRCG site if at-home isolation was not
possible, in line with WHO recommendations (18).
Sample Collection
Samples were collected via nasopharyngeal swab,
oropharyngeal swab, or both by using FLOQSwabs
(COPAN Diagnostics, https://www.copanusa.com).
Samples were placed in single tubes containing uni-
versal transport medium (COPAN Diagnostics) and
delivered to the laboratory within 24 hours. Sampling
methods were comparable across cohorts with simi-
lar operational procedures and training.
Laboratory Methods for SARS-CoV-2 Detection
MRCG laboratories collaborated with national
public health laboratories to support national test-
ing throughout the country during the epidemic.
MRCG and these laboratories used the same labora-
tory methods and assays. Because the outbreak was
expected to spread to the West Africa subregion,
MRCG staff attended an Africa Centres for Disease
Control and Prevention (https://africacdc.org) re-
gional training workshop on diagnosing COVID-19,
which was held in February 2020 in Dakar, Senegal.
Thereafter, The Gambia established laboratory pro-
tocols for processing and testing suspected SARS-
CoV-2–infected samples according to WHO guide-
lines (19,20). The same procedures and assays were
transferred to the laboratory.
The standard test for COVID-19 diagnosis in The
Gambia is real-time reverse transcription PCR (RT-
PCR) of SARS-CoV-2–specic viral gene sequences. In
the early stages of the outbreak, RT-PCR diagnosis was
made by using the Berlin Charité Laboratory protocol
(21), which targets the RNA-dependent RNA poly-
merase and envelope protein gene. Subsequent tests
kits, primarily the Da An Gene Nucleic Acid Extraction
Kit (Da An Gene Co., Ltd., of Sun Yat-sen University,
https://en.daangene.com) and Novel Coronavirus
Figure 1.PopulationdensityofTheGambia,includingMedicalResearchCouncilUnitTheGambia(MRCG)researchsitesdistributed
acrossthecountry.

EmergingInfectiousDiseases•www.cdc.gov/eid•Vol.27,No.8,August2021 2067
MildFirstEpidemicWaveofCOVID-19,TheGambia
(2019-nCoV) Nucleic Acid Diagnostic Kit (Sansure Bio-
tech, Inc., http://eng.sansure.com.cn) were donated to
the national public health libraries; both tests target
the open reading frame 1ab and the nucleocapsid gene
coding regions.
Sample inactivation and downstream RNA ex-
traction were done by using commercially available
kits according to the manufacturers’ protocols. Ini-
tial extractions were performed manually by using
the QIAamp Viral RNA Mini Kit (QIAGEN, https://
www.qiagen.com) or the IndiSpin Pathogen Kit (IN-
DICAL BIOSCIENCE, https://www.indical.com).
When donations to the public health system became
available, kits from the Da An Gene Co., Ltd., of Sun
Yat-sen University and Sansure Biotech, Inc., were
included. As the outbreak progressed and daily
sample numbers increased, automated RNA extrac-
tion system on the QIAcube HT (QIAGEN) was im-
plemented. In all cases, 200 µL of universal transport
medium sample was processed, and the RNA eluted
in 50–80 µL, depending on the extraction kit. RT-
PCR analysis was conducted with 5 µL of extracted
RNA in 25 µL of reaction mix containing reaction
buffer, one-step reverse transcription enzyme, ei-
ther the Takara One Step PrimeScript III RT-PCR Kit
(TaKaRa Bio, Inc., http://www.takara-bio.com) or
SuperScript III Platinum One-Step qRT-PCR Kit (In-
vitrogen, https://www.thermosher.com), and the
primer and probe mix.
Samples were dened as positive if amplication
of any viral gene occurred after 40 cycles and with all
the controls amplifying as appropriate. We dened a
COVID-19 case as any person with a SARS-CoV-2–
positive RT-PCR from a nasopharyngeal or oropha-
ryngeal swab sample, regardless of symptomatology.
Statistical Analysis
We calculated rates of risk for COVID-19 per 1,000
persons among the population of The Gambia. For
MRCG, we stratied rates by occupational clinical
exposure for staff working at the CSD versus non-
CSD staff. In addition to occupational clinical expo-
sure, surveillance for CSD staff was more intense
due to routine testing, regardless of symptoms or
known exposure.
The Ministry of Health generated daily national
data for The Gambia (22). We extracted compiled data
from the publicly available Johns Hopkins University
COVID-19 database (23). The Gambian Government/
MRCG Joint Ethics committee approved the study
(reference no. L2020.E37).
Results
Persons <25 years of age and persons >60 years of
age are underrepresented in the MRCG cohort com-
pared with the population of The Gambia, (Table).
In addition, urban residents are overrepresented
in the MRCG cohort; 67.6% of MRCG staff live
in cities or towns compared with 59.4% of the over-
all population.
SARS-CoV-2 Positivity Rates
From the start of the epidemic through September
30, 2020, a total of 17,885 samples were tested in
The Gambia; 20.1% (3,590) were SARS-CoV-2–posi-
tive. The positivity rate was lower before July (1.6%;
40/3,095 samples tested) and higher during July–Sep-
tember (23.7%; 3,499/14,790 samples tested) (19,20).
The number of samples collected and the positivity
rate were the highest during August–September 2020,
during which time the number of daily swabs collect-
ed varied from 28 to 524/day (median 184/day) (Fig-
ure 2). Positivity rate also varied substantially, from
<5% to >50%. Approximately 67% of conrmed cases
were detected in August; overall, 60% of conrmed
cases were among persons <40 years of age (20).
During July 1–September 30, a total of 937 sam-
ples were collected from the MRCG cohort; 191
Table. EpidemiologicanddemographiccharacteristicsofthepopulationofTheGambiaandstaffofMRCG*
Baselinecharacteristics
TheGambia,no.(%)
MRCGstaff,no.(%)
Age groups, y
<25
1,549,084(64.2)
51(3.89)
2534
367,334(15.2)
450(34.35)
3544
217,500(9.0)
381(29.08)
4554
132,917(5.5)
307(23.44)
5564
72,500(3.0)
113(8.63)
>65
74,917(3.1)
8(0.61)
Medianage,y
17.8
37.5
Sex
M
1,193,834(49.4)
915(68.5)
F
1,220,418(50.6)
421(31.5)
Living in main towns or cities
1,420,600(59.4)
903(67.6)
*MRCG,MedicalResearchCouncilUnitTheGambiaattheLondonSchoolofHygieneandTropicalMedicine.
†Ages were missing for 6 MRCG staff.
‡For MRCG staff location, we considered the workplaceratherthanthelivingplace.

RESEARCH
2068 EmergingInfectiousDiseases•www.cdc.gov/eid•Vol.27,No.8,August2021
(20.4%) were SARS-CoV-2–positive. Most (60%) con-
rmed cases were detected in August. The median
age among MRCG staff with SARS-CoV-2–positive
samples was 36 years.
Rates of Infection and Death
By the end of September 2020, the cumulative rate
of infection among the population of The Gambia
1.5/1,000 persons (Figure 3, panel A). During the
same period, 115 COVID-19 deaths were recorded
across the country.
Among MRCG staff, stratied analysis showed
that infection rates among CSD staff were 2.6 times
higher than among non-CSD staff, whom we consid-
ered representative of the infection risk among the
general population (Figure 3, panel B). By the end of
September, the cumulative risk for infection among
non-CSD MRCG staff was 124/1,000 persons (Fig-
ure 3, panel B). All 191 conrmed cases among
MRCG staff were either asymptomatic or mildly
symptomatic; no cases met WHO criteria for moder-
ate or severe pneumonia and no deaths occurred in
this cohort.
Discussion
The COVID-19 pandemic arrived in The Gambia in
July 2020, later than in most countries in the world.
The Gambia had a short and intense rst wave; 67%
of cases occurred in August, and most cases were as-
ymptomatic or mild. Among our MRCG cohort, 1/7
(14.3%) persons were SARS-CoV-2–positive. During
the epidemic peak, the SARS-CoV-2 positivity rate
among the population of The Gambia was >20%.
The later start of the epidemic is probably the re-
sult of the early closure of national borders, including
for air travel, and of the identication and isolation of
infected persons who continued to enter the country
from Senegal. These measures were complemented
by contact tracing and by the provision of facilities
for quarantine by the government. The relative ef-
fects of these measures, together with other measures
implemented during the state of emergency, such as
closure of schools, reduction of access to markets,
banning of large gatherings including at religious fes-
tivals, and use of facemasks, are hard to quantify, as
are behavioral changes, such as social distancing and
handwashing. Nonetheless, these measures seem to
have been key in preparing the country to respond
and minimize potential harm.
The sudden increase of cases in August coincided
with the major Muslim feast of Eid-Ul Adha, locally
called Tobaski, on July 30, 2020, during which travel
and family gatherings were common. However, the
number of COVID-19 cases had already started to in-
crease in July.
Although climate in The Gambia is hot through-
out the year, the peak epidemic coincided with the
months of highest daily humidity and highest mini-
mum temperature but lowest maximum temperature
(14,15). Data on how temperature and humidity affect
transmission are contradictory (24,25). In The Gambia,
climate conditions might have had an indirect effect on
transmission because persons are more likely to spend
time indoors during the rainy season. In The Gambia,
the rainy season also occurs during the months with
the highest respiratory virus transmission (26).
Figure 2.Numberofdaily
nasopharyngealandoropharyngeal
swabsamplestestedforsevere
acuterespiratorysyndrome
coronavirus2andpercentageof
positivesamplesinTheGambia
duringAugust–September2020,
thetimeframeforthemostintense
transmissioninthecountry.

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TL;DR: Evidence supporting the role of vitamin D in reducing risk of COVID-19 includes that the outbreak occurred in winter, a time when 25-hydroxyvitamin D concentrations are lowest; that the number of cases in the Southern Hemisphere near the end of summer are low; that vitamin D deficiency has been found to contribute to acute respiratory distress syndrome; and that case-fatality rates increase with age and with chronic disease comorbidity.
Abstract: The world is in the grip of the COVID-19 pandemic. Public health measures that can reduce the risk of infection and death in addition to quarantines are desperately needed. This article reviews the roles of vitamin D in reducing the risk of respiratory tract infections, knowledge about the epidemiology of influenza and COVID-19, and how vitamin D supplementation might be a useful measure to reduce risk. Through several mechanisms, vitamin D can reduce risk of infections. Those mechanisms include inducing cathelicidins and defensins that can lower viral replication rates and reducing concentrations of pro-inflammatory cytokines that produce the inflammation that injures the lining of the lungs, leading to pneumonia, as well as increasing concentrations of anti-inflammatory cytokines. Several observational studies and clinical trials reported that vitamin D supplementation reduced the risk of influenza, whereas others did not. Evidence supporting the role of vitamin D in reducing risk of COVID-19 includes that the outbreak occurred in winter, a time when 25-hydroxyvitamin D (25(OH)D) concentrations are lowest; that the number of cases in the Southern Hemisphere near the end of summer are low; that vitamin D deficiency has been found to contribute to acute respiratory distress syndrome; and that case-fatality rates increase with age and with chronic disease comorbidity, both of which are associated with lower 25(OH)D concentration. To reduce the risk of infection, it is recommended that people at risk of influenza and/or COVID-19 consider taking 10,000 IU/d of vitamin D3 for a few weeks to rapidly raise 25(OH)D concentrations, followed by 5000 IU/d. The goal should be to raise 25(OH)D concentrations above 40–60 ng/mL (100–150 nmol/L). For treatment of people who become infected with COVID-19, higher vitamin D3 doses might be useful. Randomized controlled trials and large population studies should be conducted to evaluate these recommendations.

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TL;DR: Urgent efforts are warranted to ensure delivery of services that, if deferred, could result in patient harm during the COVID-19 pandemic, and persons experiencing a medical emergency should seek and be provided care without delay.
Abstract: Temporary disruptions in routine and nonemergency medical care access and delivery have been observed during periods of considerable community transmission of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19) (1). However, medical care delay or avoidance might increase morbidity and mortality risk associated with treatable and preventable health conditions and might contribute to reported excess deaths directly or indirectly related to COVID-19 (2). To assess delay or avoidance of urgent or emergency and routine medical care because of concerns about COVID-19, a web-based survey was administered by Qualtrics, LLC, during June 24-30, 2020, to a nationwide representative sample of U.S. adults aged ≥18 years. Overall, an estimated 40.9% of U.S. adults have avoided medical care during the pandemic because of concerns about COVID-19, including 12.0% who avoided urgent or emergency care and 31.5% who avoided routine care. The estimated prevalence of urgent or emergency care avoidance was significantly higher among the following groups: unpaid caregivers for adults* versus noncaregivers (adjusted prevalence ratio [aPR] = 2.9); persons with two or more selected underlying medical conditions† versus those without those conditions (aPR = 1.9); persons with health insurance versus those without health insurance (aPR = 1.8); non-Hispanic Black (Black) adults (aPR = 1.6) and Hispanic or Latino (Hispanic) adults (aPR = 1.5) versus non-Hispanic White (White) adults; young adults aged 18-24 years versus adults aged 25-44 years (aPR = 1.5); and persons with disabilities§ versus those without disabilities (aPR = 1.3). Given this widespread reporting of medical care avoidance because of COVID-19 concerns, especially among persons at increased risk for severe COVID-19, urgent efforts are warranted to ensure delivery of services that, if deferred, could result in patient harm. Even during the COVID-19 pandemic, persons experiencing a medical emergency should seek and be provided care without delay (3).

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TL;DR: Two real-time reverse-transcription polymerase chain reaction assays for a novel human coronavirus, targeting regions upstream of the E gene (upE) or within open reading frame (ORF)1b, respectively, observed no cross-reactivity with coronaviruses OC43, NL63, 229E, SARS-CoV or with 92 clinical specimens containing common human respiratory viruses.
Abstract: We present two real-time reverse-transcription polymerase chain reaction assays for a novel human coronavirus (CoV), targeting regions upstream of the E gene (upE) or within open reading frame (ORF)1b, respectively. Sensitivity for upE is 3.4 copies per reaction (95% confidence interval (CI): 2.5-6.9 copies) or 291 copies/mL of sample. No cross-reactivity was observed with coronaviruses OC43, NL63, 229E, SARS-CoV, nor with 92 clinical specimens containing common human respiratory viruses. We recommend using upE for screening and ORF1b for confirmation.

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Frequently Asked Questions (15)
Q1. What contributions have the authors mentioned in the paper "Intense and mild first epidemic wave of coronavirus disease, the gambia" ?

The authors in this paper found that severe acute respiratory syndrome coronavirus 2 ( SARS-CoV-2 ) pandemic had spread to 6 continents and caused > 45 million cases and 1.1 million deaths. 

In the early stages of the outbreak, RT-PCR diagnosis was made by using the Berlin Charité Laboratory protocol (21), which targets the RNA-dependent RNA polymerase and envelope protein gene. 

The low occurrence of severe disease in Africa compared with other continents underlines the importance of minimizing the potential collateral damage of the COVID-19 pandemic. 

From the start of the epidemic through September 30, 2020, a total of 17,885 samples were tested in The Gambia; 20.1% (3,590) were SARS-CoV-2–positive. 

Samples were placed in single tubes containing universal transport medium (COPAN Diagnostics) and delivered to the laboratory within 24 hours. 

Initial SARS-CoV-2 testing by PCR was focused on identifying imported cases and tracing and isolating case contacts, especially among travelers from Senegal. 

MRCG laboratories collaborated with national public health laboratories to support national testing throughout the country during the epidemic. 

The later start of the epidemic is probably the result of the early closure of national borders, including for air travel, and of the identification and isolation of infected persons who continued to enter the country from Senegal. 

Regardless of negative test results, all exposed staff were quarantined for 14 days; SARSCoV-2–positive staff isolated in their homes for 14days, or at the MRCG site if at-home isolation was not possible, in line with WHO recommendations (18). 

Such damage includes diversion of financial and personnel resources from other services to the COVID-19 response, changes in healthcare seeking behavior, reduced availability of medicines for acute and chronic diseases, and disruption of routine vaccination services (29–33). 

All 191 confirmed cases among MRCG staff were either asymptomatic or mildly symptomatic; no cases met WHO criteria for moderate or severe pneumonia and no deaths occurred in this cohort. 

Initial extractions were performed manually by using the QIAamp Viral RNA Mini Kit (QIAGEN, https:// www.qiagen.com) or the IndiSpin Pathogen Kit (INDICAL BIOSCIENCE, https://www.indical.com). 

the fewer hospitalizations also could indicate avoidance of SARSCoV-2 testing because of stigmatization, which has been observed in other regions (7). 

MRCG set up a hotline manned by doctors from whom staff could receive answers to questions or concerns and get information on how to access services. 

The authors strongly encourage continuous protection of healthcare workers with appropriate PPE and strengthening of surveillance systems around the country to promptly detect another sudden increase of cases.