Factors associated with late diagnosis of cervical cancer at two national referral hospitals, Kenya 2017: A case control study.

Background: Cervical cancer is the leading cause of cancer mortality among women in Kenya. Two thirds of cervical cancer cases in Kenya are diagnosed in advanced stages. We aimed to identify factors associated with late diagnosis of cervical cancer, to guide policy interventions. Methods: An unmatched case control study (ratio 1:2) was conducted among women aged ≥ 18 years with cervical cancer at Kenyatta National and Moi Teaching and Referral Hospitals. We defined a case as patients with International Federation of Gynecology and Obstetrics (FIGO) stage ≥ 2A and controls as those with stage ≤ 1B. A structured questionnaire was used to document exposure variables. We calculated adjusted odds ratio (aOR) to identify any associations. Results: We enrolled 192 participants (64 cases, 128 controls). Mean age 39.2 (±9.3) years, 145 (76 %) were married, 77 (40 %) had primary level education, 168 (88 %) had their first pregnancy ≤ 24 years of age, 85 (44 %) were > para 3 and 150 (78 %) used contraceptives. Late diagnosis of cervical cancer was associated with cost of travel to cancer centres > USD 6.1 (aOR 6.43 95% CI [1.30, 31.72]), age > 50 years (aOR 4.71; 95% CI [1.18, 18.80]), anxiety over cost of cancer care (aOR 5.6; 95% CI [1.05, 32.72]) and ultrasound examination during evaluation of symptoms (aOR 4.89; 95% CI [1.07-22.42]). Previous treatment for gynecological infections (aOR 0.10; 95% CI [0.02, 0.47]) was protective against late diagnosis. Conclusion: Cost of seeking care and the quality of the diagnostic process were important factors in this study. Decentralization of care, innovative health financing solutions and clear diagnostic and referral algorithms for women presenting with gynecological symptoms could reduce late-stage diagnosis in Kenya.

Piloting a hospital-based road traffic injury surveillance system in Nairobi County, Kenya, 2018-2019.

BACKGROUND: Kenya's estimated road traffic injury (RTI) death rate is 27.8/100,000 population, which is 1.5 times the global rate. Some RTI data are collected in Kenya; however, a systematic and integrated surveillance system does not exist. Therefore, we adopted and modified the World Health Organization's injury surveillance guidelines to pilot a hospital-based RTI surveillance system in Nairobi County, Kenya. METHODS: We prospectively documented all RTI cases presenting at two public trauma hospitals in Nairobi County from October 2018-April 2019. RTI cases were defined as injuries involving ≥1 moving vehicles on public roads. Demographics, injury circumstances, and outcome information were collected using standardized case report forms. The Kampala Trauma Score (KTS) was used to assess injury severity. RTI cases were characterized with descriptive statistics. RESULTS: Of the 1,840 RTI cases reported during the seven-month period, 73.2% were male. The median age was 29.8 years (range 1-89 years). Forty percent (n = 740) were taken to the hospital by bystanders. Median time for hospital arrival was 77 min. Pedestrians constituted 54.1% (n = 995) of cases. Of 400 motorcyclists, 48.0% lacked helmets. Similarly, 65.7% of bicyclists (23/35) lacked helmets. Among 386 motor vehicle occupants, 59.6% were not using seat belts (19.9% unknown). Seven percent of cases (n = 129) reported alcohol use (49.0% unknown), and 8.8% (n = 161) reported mobile phone use (59.7% unknown). Eleven percent of cases (n = 199) were severely injured (KTS <11), and 220 died. CONCLUSION: We demonstrated feasibility of a hospital-based RTI surveillance system in Nairobi County. Integrating information from crash scenes and hospitals can guide prevention.

Investing in the health workforce in Kenya: trends in size, composition and distribution from a descriptive health labour market analysis.

Investing in the health workforce to ensure universal access to qualified, skilled and motivated health workers is pertinent in achieving the Sustainable Development Goals (SDGs). The policy thrust in Kenya is to improve the quality of life of the population by investing to improve health service provision and achieving universal health coverage. To realise this, the Ministry of Health undertook a Health Labour Market Analysis with to generate evidence on the relationship between supply, demand and need of the health labour force. In the context of supply, Kenya has a total of 189 932 health workers in 2020 with 66% being in the public sector and 58%, 13% and 7% being nurses, clinical officers and doctors, respectively. The density of doctors, nurses and clinical officers per 10 000 in Kenya in 2020 was 30.14, which represents about 68% of the SDG index threshold of 44.5 doctors, nurses and midwives per 10 000 population. Findings indicates that Kenya needs to align future production in terms of cadre and quantity to the population health needs. Achieving this requires a multisectoral approach to ensure apposite quantity and mix of intakes into training institutions based on the health needs and ability to employ health workers produced.

Reduction in malaria burden following the introduction of indoor residual spraying in areas protected by long-lasting insecticidal nets in Western Kenya, 2016-2018.

BACKGROUND: Long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) are the main malaria vector control measures deployed in Kenya. Widespread pyrethroid resistance among the primary vectors in Western Kenya has necessitated the re-introduction of IRS using an organophosphate insecticide, pirimiphos-methyl (Actellic® 300CS), as a pyrethroid resistance management strategy. Evaluation of the effectiveness of the combined use of non-pyrethroid IRS and LLINs has yielded varied results. We aimed to evaluate the effect of non-pyrethroid IRS and LLINs on malaria indicators in a high malaria transmission area. METHODS: We reviewed records and tallied monthly aggregate of outpatient department (OPD) attendance, suspected malaria cases, those tested for malaria and those testing positive for malaria at two health facilities, one from Nyatike, an intervention sub-county, and one from Suba, a comparison sub-county, both located in Western Kenya, from February 1, 2016, through March 31, 2018. The first round of IRS was conducted in February-March 2017 in Nyatike sub-county and the second round one year later in both Nyatike and Suba sub-counties. The mass distribution of LLINs has been conducted in both locations. We performed descriptive analysis and estimated the effect of the interventions and temporal changes of malaria indicators using Poisson regression for a period before and after the first round of IRS. RESULTS: A higher reduction in the intervention area in total OPD, the proportion of OPD visits due to suspected malaria, testing positivity rate and annual malaria incidences were observed except for the total OPD visits among the under 5 children (59% decrease observed in the comparison area vs 33% decrease in the intervention area, net change -27%, P <0.001). The percentage decline in annual malaria incidence observed in the intervention area was more than twice the observed percentage decline in the comparison area across all the age groups. A marked decline in the monthly testing positivity rate (TPR) was noticed in the intervention area, while no major changes were observed in the comparison area. The monthly TPR reduced from 46% in February 2016 to 11% in February 2018, representing a 76% absolute decrease in TPR among all ages (RR = 0.24, 95% CI 0.12-0.46). In the comparison area, TPR was 16% in both February 2016 and February 2018 (RR = 1.0, 95% CI 0.52-2.09). A month-by-month comparison revealed lower TPR in Year 2 compared to Year 1 in the intervention area for most of the one year after the introduction of the IRS. CONCLUSIONS: Our findings demonstrated a reduced malaria burden among populations protected by both non-pyrethroid IRS and LLINs implying a possible additional benefit afforded by the combined intervention in the malaria-endemic zone.

Impact of Kenya's Frontline Epidemiology Training Program on Outbreak Detection and Surveillance Reporting: A Geographical Assessment, 2014-2017.

Rapid detection and response to infectious disease outbreaks requires a robust surveillance system with a sufficient number of trained public health workforce personnel. The Frontline Field Epidemiology Training Program (Frontline) is a focused 3-month program targeting local ministries of health to strengthen local disease surveillance and reporting capacities. Limited literature exists on the impact of Frontline graduates on disease surveillance completeness and timeliness reporting. Using routinely collected Ministry of Health data, we mapped the distribution of graduates between 2014 and 2017 across 47 Kenyan counties. Completeness was defined as the proportion of complete reports received from health facilities in a county compared with the total number of health facilities in that county. Timeliness was defined as the proportion of health facilities submitting surveillance reports on time to the county. Using a panel analysis and controlling for county-fixed effects, we evaluated the relationship between the number of Frontline graduates and priority disease reporting of measles. We found that Frontline training was correlated with improved completeness and timeliness of weekly reporting for priority diseases. The number of Frontline graduates increased by 700%, from 57 graduates in 2014 to 456 graduates in 2017. The annual average rates of reporting completeness increased from 0.8% in 2014 to 55.1% in 2017. The annual average timeliness reporting rates increased from 0.1% in 2014 to 40.5% in 2017. These findings demonstrate how global health security implementation progress in workforce development may influence surveillance and disease reporting.

Assessment of knowledge, attitudes and practices towards anthrax in Narok County, Southern Kenya.

INTRODUCTION: anthrax is endemic in some parts of Kenya causing mortalities in livestock and morbidity in humans. On January 20th, 2018, news media reported suspected anthrax in a remote southern Kenyan village after villagers became ill following consumption of meat from a dead cow that was confirmed, by microscopy, to have died of anthrax. We assessed community knowledge, attitude and practices (KAP) to identify intervention gaps for anthrax prevention. METHODS: we conducted a KAP survey in randomly selected households (HHs) in villages from selected wards. Using multi-stage sampling approach, we administered structured questionnaire to persons aged ≥15 years to collect KAP information from February 11th-21st, 2018. From a set of questions for KAP, we scored participants' response as "1" for a correct response and "0" for an incorrect response. Univariate analysis and Chi-square tests were performed to explore determinants of KAP. Concurrently, we gathered qualitative data using interview guides for thematic areas on anthrax KAP from key informant interviews and focus group discussions. Qualitative data were transcribed in Ms Word and analyzed along themes by content analysis. RESULTS: among 334 respondents: 187/334 (56%) were male; mean age, 40.7±13.6 years; 331/334 (99.1%) had heard of anthrax and 304/331 (91.8%) knew anthrax to be zoonotic. Transmission was considered to be through eating dead-carcasses by 273/331 (82.5%) and through contact with infected tissue by 213/331 (64.4%). About 59% (194/329) regularly vaccinated their livestock against anthrax, 53.0% (174/328) had slaughtered or skinned a dead-animal and 59.5% (195/328) practiced home slaughter while 52.9% (172/325) treated sick-animals by themselves. Sex (p≤0.001), age (p=0.007) and livestock-rearing years (p≤0.001) were significantly associated with knowledge and practice. CONCLUSION: there were differences in knowledge and practices towards anthrax by age-group and sex. Enhanced public health education and targeted interventions by relevant government agencies is recommended.

Cholera outbreak during a scientific conference at a Nairobi hotel, Kenya 2017.

BACKGROUND: Cholera globally affects 1.3-4.0 million people and causes 21 000-143 000 deaths annually. In June 2017, a cluster of diarrhoeal illness occurred among participants of an international scientific conference at a hotel in Nairobi, Kenya. Culture confirmed Vibrio cholerae, serotype Ogawa. We investigated to assess magnitude, identify likely exposures and suggest control measures. METHODS: We carried out a retrospective cohort study utilizing a structured questionnaire administered by telephone, email and internet-based survey. We calculated food-specific attack rates, risk ratios and in a nested-case control analysis, performed logistic regression to identify exposures independently associated with the outbreak. RESULTS: We interviewed 249 out of 456 conference attendees (response rate=54.6%). Mean age of respondents was 37.8 years, ±8.3 years, 131 (52.6%) were male. Of all the respondents, 137 (55.0%) were cases. Median incubation time was 35 (11-59) hours. Eating chicken (adjusted OR 2.49, 95% CI, 1.22-5.06) and having eaten lunch on Tuesday (adjusted OR 2.34, 95% CI 1.09-5.05) were independently associated with illness; drinking soda was protective (adjusted OR 0.17, 95% CI 0.07-0.42). CONCLUSION: Point source outbreak, associated with chicken eaten at lunch on Tuesday 20th June 2017 occurred. We recommend better collaboration between the food and health sectors in food-borne outbreak investigations.

Epidemiological Investigation of a Rift Valley Fever Outbreak in Humans and Livestock in Kenya, 2018.

On the last week of May of 2018, a community-based syndromic surveillance system detected mass abortions and deaths of young livestock in northeastern Kenya. Two weeks later, Rift Valley fever (RVF) was confirmed in humans presenting with febrile illness and hemorrhagic syndrome in the same region. A joint animal and human response team carried out an investigation to characterize the outbreak and identify drivers of disease transmission. Here, we describe the outbreak investigation and findings. A total of 106 human cases were identified in the months of May and June 2018: 92% (98) and 8% (8) of these cases occurring in the northern and western regions of Kenya, respectively. Seventy-six (72%) were probable cases, and 30 (28%) were laboratory confirmed by ELISA and/or PCR. Among the confirmed cases, the median age was 27.5 years (interquartile range = 20), and 60% (18) were males. Overall, the case fatality rate was 7% (n = 8). The majority of the confirmed cases, 19 (63%), reported contact with livestock during slaughter and consumption of meat from sick animals. All confirmed cases had fever, 40% (12) presented with hemorrhagic syndrome, and 23% (7) presented with jaundice. Forty-three livestock herds with at least one suspect and/or confirmed animal case were identified. Death of young animals was reported in 93% (40) and abortions in 84% (36) of livestock herds. The outbreak is indicative of the emergence potential of RVF in traditionally high- and low-risk areas and the risk posed by zoonosis to livestock keepers.

Factors associated with malnutrition in children < 5 years in western Kenya: a hospital-based unmatched case control study.

BACKGROUND: Globally, under-nutrition accounts for > 3 million deaths annually among children < 5 years, with Kenya having ~ 35,000 deaths. This study aimed to identify factors associated with malnutrition in children aged < 5 years in western Kenya. METHODS: We conducted a hospital-based unmatched case-control study between May and June 2017. Cases were defined as children aged 6-59 months with either z-score for weight-for-height ≤ -2SD or ≥ +2SD; weight-for-age ≤ -2SD or ≥ +2SD; or height-for-age ≤ -2SD. Controls were children aged 6-59 months with age-appropriate anthropometric measurements. Cases were consecutively recruited while systematic random sampling was used to select controls. Data from interviews and clinical records were collected and entered into Epi-Info, which was used to run unconditional logistic regression analyses. RESULTS: A total of 94 cases and 281 controls were recruited. Of the cases, 84% (79/94) were under-nourished. Mother not having attended ante-natal clinic (OR = 7.9; 95% CI: 1.5-41.2), deworming (OR = 0.8; 95% CI: 0.4-1.2), and pre-lacteal feeding (OR = 1.8; 95% CI: 1.1-3.0) were associated with under-nutrition. Delayed developmental milestones (AOR = 13.9; 95% CI: 2.8-68.6); low birth weight (AOR = 3.3; 95% CI: 1.4-7.6), and paternal lack of formal education (AOR = 4.9; 95% CI: 1.3-18.9) were independently associated with under-nutrition. CONCLUSION: Proper pre-natal care, child feeding practices and deworming programs should be enhanced to reduce pediatric malnutrition.

A protracted cholera outbreak among residents in an urban setting, Nairobi county, Kenya, 2015.

INTRODUCTION: in 2015, a cholera outbreak was confirmed in Nairobi county, Kenya, which we investigated to identify risk factors for infection and recommend control measures. METHODS: we analyzed national cholera surveillance data to describe epidemiological patterns and carried out a case-control study to find reasons for the Nairobi county outbreak. Suspected cholera cases were Nairobi residents aged >2 years with acute watery diarrhea (>4 stools/≤12 hours) and illness onset 1-14 May 2015. Confirmed cases had Vibrio cholerae isolated from stool. Case-patients were frequency-matched to persons without diarrhea (1:2 by age group, residence), interviewed using standardized questionaires. Logistic regression identified factors associated with case status. Household water was analyzed for fecal coliforms and Escherichia coli. RESULTS: during December 2014-June 2015, 4,218 cholera cases including 282 (6.7%) confirmed cases and 79 deaths (case-fatality rate [CFR] 1.9%) were reported from 14 of 47 Kenyan counties. Nairobi county reported 781 (19.0 %) cases (attack rate, 18/100,000 persons), including 607 (78%) hospitalisations, 20 deaths (CFR 2.6%) and 55 laboratory-confirmed cases (7.0%). Seven (70%) of 10 water samples from communal water points had coliforms; one had Escherichia coli. Factors associated with cholera in Nairobi were drinking untreated water (adjusted odds ratio [aOR] 6.5, 95% confidence interval [CI] 2.3-18.8), lacking health education (aOR 2.4, CI 1.1-7.9) and eating food outside home (aOR 2.4, 95% CI 1.2-5.7). CONCLUSION: we recommend safe water, health education, avoiding eating foods prepared outside home and improved sanitation in Nairobi county. Adherence to these practices could have prevented this protacted cholera outbreak.

Knowledge, attitude and practices on cholera in an arid county, Kenya, 2018: A mixed-methods approach.

BACKGROUND: Cholera remains a public health problem in Kenya despite increased efforts to create awareness. Assessment of knowledge, attitude and practice (KAP) in the community is essential for the planning and implementation of preventive measures. We assessed cholera KAP in a community in Isiolo County, Kenya. METHODS: This cross-sectional study involved a mixed-methods approach utilizing a questionnaire survey and focus group discussions (FGDs). Using multistage sampling with household as the secondary sampling unit, interviewers administered structured questionnaires to one respondent aged ≥18 years old per household. We created knowledge score by allotting one point for each correct response, considered any total score ≥ median score as high knowledge score, calculated descriptive statistics and used multivariate logistic regression to examine factors associated with high knowledge score. In FGDs, we randomly selected the participants aged ≥18 years and had lived in Isiolo for >1 year, conducted the FGDs using an interview guide and used content analysis to identify salient emerging themes. RESULTS: We interviewed 428 participants (median age = 30 years; Q1 = 25, Q3 = 38) comprising 372 (86.9%) females. Of the 425/428 (99.3%) who had heard about cholera, 311/425 (73.2%) knew that it is communicable. Although 273/428 (63.8%) respondents knew the importance of treating drinking water, only 216/421 (51.3%) treated drinking water. Those with good defecation practice were 209/428 (48.8%). Respondents with high knowledge score were 227/428 (53.0%). Positive attitude (aOR = 2.88, 95% C.I = 1.34-6.20), treating drinking water (aOR = 2.21, 95% C.I = 1.47-3.33), age <36 years (aOR = 1.75, 95% C.I = 1.11-2.74) and formal education (aOR = 1.71, 95% C.I = 1.08-2.68) were independently associated with high knowledge score. FGDs showed poor latrine coverage, inadequate water treatment and socio-cultural beliefs as barriers to cholera prevention and control. CONCLUSIONS: There was a high knowledge score on cholera with gaps in preventive practices. We recommend targeted health education to the old and uneducated persons and general strengthening of health education in the community.

Burden and risk factors of cutaneous leishmaniasis in a peri-urban settlement in Kenya, 2016.

BACKGROUND: Cutaneous leishmaniasis is a neglected disease known to cause significant morbidity among the poor. We investigated a suspected outbreak to determine the magnitude of cases, characterize the cases and identify risk factors of cutaneous leishmaniasis in Gilgil, a peri-urban settlement in Central Kenya. METHODS: Hospital records for the period 2010-2016 were reviewed and additional cases were identified through active case search. Clinical diagnosis of cutaneous leishmaniasis was made based on presence of ulcerative, nodular or papular skin lesion. The study enrolled 58 cases matched by age and neighbourhood to 116 controls in a case control study. Data was collected using structured questionnaires and simple proportions, means and medians were computed, and logistic regression models were constructed for analysis of individual, indoor and outdoor risk factors. RESULTS: Of the 255 suspected cases of cutaneous leishmaniasis identified, females constituted 56% (142/255) and the median age was 7 years (IQR 7-21). Cases occurred in clusters and up to 43% of cases originated from Gitare (73/255) and Kambi-Turkana (36/255) villages. A continuous transmission pattern was depicted throughout the period under review. Individual risk factors included staying outside the residence in the evening after sunset (OR 4.1, CI 1.2-16.2) and visiting forests (OR 4.56, CI 2.04-10.22). Sharing residence with a case (OR 14.4, CI 3.8-79.3), residing in a thatched house (OR 7.9, CI 1.9-45.7) and cracked walls (OR 2.3, CI 1.0-4.9) were identified among indoor factors while sighting rock hyraxes near residence (OR 5.3, CI 2.2-12.7), residing near a forest (OR 7.8, CI 2.8-26.4) and having a close neighbour with cutaneous leishmaniasis (OR 6.8, CI 2.8-16.0) were identified among outdoor factors. CONCLUSIONS: We identify a large burden of cutaneous leishmaniasis in Gilgil with evidence of individual, indoor and outdoor factors of disease spread. The role of environmental factors and rodents in disease transmission should be investigated further.

Risk factors for human brucellosis among a pastoralist community in South-West Kenya, 2015.

OBJECTIVE: Brucellosis is one of the top five priority zoonosis in Kenya because of the socio-economic burden of the disease, especially among traditional, livestock keeping communities. We conducted a 1 year, hospital based, unmatched case-control study to determine risk factors for brucellosis among Maasai pastoralists of Kajiado County in 2016. A case was defined by a clinical criteria; fever or history of fever and two clinical signs suggestive of brucellosis and a positive competitive enzyme-linked immunosorbent assay test (c-ELISA). A control was defined as patients visiting the study facility with negative c-ELISA. Unconditional logistic regression was used to study association between exposure variables and brucellosis using odds ratios (OR) and 95% confidence intervals (CI). RESULTS: Forty-three cases and 86 controls were recruited from a population of 4792 individuals in 801 households. The mean age for the cases was 48.7 years while that of the controls was 37.6 years. The dominant gender for both cases (62.7%) and controls (58.1%) groups was female. Regular consumption of un-boiled raw milk and assisting animals in delivery were significantly associated with brucellosis by OR 7.7 (95% CI 1.5-40.1) and OR 3.7 (95% CI 1.1-13.5), respectively.

Environmental Assessment and Blood Lead Levels of Children in Owino Uhuru and Bangladesh Settlements in Kenya.

BACKGROUND: Lead exposure is linked to intellectual disability and anemia in children. The United States Centers for Disease Control and Prevention (CDC) recommends biomonitoring of blood lead levels (BLLs) in children with BLL ≥5 µg/dL and chelation therapy for those with BLL ≥45 µg/dL. OBJECTIVES: This study aimed to determine blood and environmental lead levels and risk factors associated with elevated BLL among children from Owino Uhuru and Bangladesh settlements in Mombasa County, Kenya. METHODS: The present study is a population-based, cross-sectional study of children aged 12-59 months randomly selected from households in two neighboring settlements, Owino Uhuru, which has a lead smelter, and Bangladesh settlement (no smelter). Structured questionnaires were administered to parents and 1-3 ml venous blood drawn from each child was tested for lead using a LeadCare ® II portable analyzer. Environmental samples collected from half of the sampled households were tested for lead using graphite furnace atomic absorption spectroscopy. RESULTS: We enrolled 130 children, 65 from each settlement. Fifty-nine (45%) were males and the median age was 39 months (interquartile range (IQR): 30-52 months). BLLs ranged from 1 µg/dL to 31 µg/dL, with 45 (69%) children from Owino Uhuru and 18 (28%) children from Bangladesh settlement with BLLs >5 µg/dL. For Owino Uhuru, the geometric mean BLL in children was 7.4 µg/dL (geometric standard deviation (GSD); 1.9) compared to 3.7 µg/dL (GSD: 1.9) in Bangladesh settlement (p<0.05). The geometric mean lead concentration of soil samples from Owino Uhuru was 146.5 mg/Kg (GSD: 5.2) and 11.5 mg/Kg (GSD: 3.9) (p<0.001) in Bangladesh settlement. Children who resided <200 m from the lead smelter were more likely to have a BLL ≥5 µg/dL than children residing ≥200 m from the lead smelter (adjusted odds ratio (aOR): 33.6 (95% confidence interval (CI): 7.4-153.3). Males were also more likely than females to have a BLL ≥5 µg/dL (39, 62%) compared to a BLL<5 µg/dL [aOR: 2.4 (95% CI: 1.0-5.5)]. CONCLUSIONS: Children in Owino Uhuru had significantly higher BLLs compared with children in Bangladesh settlement. Interventions to diminish continued exposure to lead in the settlement should be undertaken. Continued monitoring of levels in children with detectable levels can evaluate whether interventions to reduce exposure are effective. PARTICIPANT CONSENT: Obtained. ETHICS APPROVAL: Scientific approval for the study was obtained from the Ministry of Health, lead poisoning technical working group. Since this investigation was considered a public health response of immediate concern, expedited ethical approval was obtained from the Kenya Medical Research Institute and further approval from the Mombasa County Department of Health Services. The investigation was considered a non-research public health response activity by the CDC. COMPETING INTERESTS: The authors declare no competing financial interests.

Predictors of loss to follow up among HIV-exposed children within the prevention of mother to child transmission cascade, Kericho County, Kenya, 2016.

INTRODUCTION: HIV-exposed infants (HEI) lost-to-follow-up (LTFU) remains a problem in sub Saharan Africa (SSA). In 2015, SSA accounted >90% of the 150,000 new infant HIV infections, with an estimated 13,000 reported in Kenya. Despite proven and effective HIV interventions, many HEI fail to benefit because of LTFU. LTFU leads to delays or no initiation of interventions, thereby contributing to significant child morbidity and mortality. Kenya did not achieve the <5% mother-to-child HIV transmission target by 2015 because of problems such as LTFU. We sought to investigate factors associated with LTFU of HEI in Kericho County, Kenya. METHODS: A case-control study was conducted in June 2016 employing 1:2 frequency matching by age and hospital of birth. We recruited HEI from HEI birth cohort registers from hospitals for the months of September 2014 through February 2016. Cases were infant-mother pairs that missed their 3-month clinic appointments while controls were those that adhered to their 3-month follow-up visits. Consent was obtained from caregivers and a structured questionnaire was administered. We used chi-square and Fisher's Exact tests to compare groups, calculated odds ratios (OR) and 95% confidence intervals (CI), and performed logistic regression to identify independent risk factors. RESULTS: We enrolled 44 cases and 88 controls aged ≥3 to 18 months: Cases ranged from 7.3-17.8 months old and controls from 6.8-17.2 months old. LTFU cases' caregivers were more likely than controls' caregivers to fear knowing HEI status (aOR= 12.71 [CI 3.21-50.23]), lack knowledge that HEI are followed for 18 months (aOR= 12.01 [CI 2.92-48.83]), avoid partners knowing their HEI status(OR= 11.32 [CI 2.92-44.04]), and use traditional medicine (aOR= 6.42 [CI 1.81-22.91]).Factors that were protective of LTFU included mothers knowing their pre-pregnancy HIV status (aOR= 0.23 [CI 0.05-0.71]) and having household health insurance (aOR= 0.11 [CI 0.01-0.76]). CONCLUSION: Caregivers' intrinsic, interpersonal, community and health system factors remain crucial towards reducing HEI LTFU. Early HIV testing among mothers, disclosure support, health education, and partner involvement is advocated. Encouraging households to enroll in health insurance could be beneficial. Further studies on the magnitude and the reasons for use of home treatments among caregiver are recommended.

Cholera Outbreak in Dadaab Refugee Camp, Kenya - November 2015-June 2016.

Dadaab Refugee camp in Garissa County, Kenya, hosts nearly 340,000 refugees in five subcamps (Dagahaley, Hagadera, Ifo, Ifo2, and Kambioos) (1). On November 18 and 19, 2015, during an ongoing national cholera outbreak (2), two camp residents were evaluated for acute watery diarrhea (three or more stools in ≤24 hours); Vibrio cholerae serogroup O1 serotype Ogawa was isolated from stool specimens collected from both patients. Within 1 week of the report of index cases, an additional 45 cases of acute watery diarrhea were reported. The United Nations High Commissioner for Refugees and their health-sector partners coordinated the cholera response, community outreach and water, sanitation, and hygiene (WASH) activities; Médecins Sans Frontiéres and the International Rescue Committee were involved in management of cholera treatment centers; CDC performed laboratory confirmation of cases and undertook GIS mapping and postoutbreak response assessment; and the Garissa County Government and the Kenya Ministry of Health conducted a case-control study. To prevent future cholera outbreaks, improvements to WASH and enhanced disease surveillance systems in Dadaab camp and the surrounding area are needed.

Systems, supplies, and staff: a mixed-methods study of health care workers' experiences and health facility preparedness during a large national cholera outbreak, Kenya 2015.

BACKGROUND: From December 2014 to September 2016, a cholera outbreak in Kenya, the largest since 2010, caused 16,840 reported cases and 256 deaths. The outbreak affected 30 of Kenya's 47 counties and occurred shortly after the decentralization of many healthcare services to the county level. This mixed-methods study, conducted June-July 2015, assessed cholera preparedness in Homa Bay, Nairobi, and Mombasa counties and explored clinic- and community-based health care workers' (HCW) experiences during outbreak response. METHODS: Counties were selected based on cumulative cholera burden and geographic characteristics. We conducted 44 health facility cholera preparedness checklists (according to national guidelines) and 8 focus group discussions (FGDs). Frequencies from preparedness checklists were generated. To determine key themes from FGDs, inductive and deductive codes were applied; MAX software for qualitative data analysis (MAXQDA) was used to identify patterns. RESULTS: Some facilities lacked key materials for treating cholera patients, diagnosing cases, and maintaining infection control. Overall, 82% (36/44) of health facilities had oral rehydration salts, 65% (28/43) had IV fluids, 27% (12/44) had rectal swabs, 11% (5/44) had Cary-Blair transport media, and 86% (38/44) had gloves. A considerable number of facilities lacked disease reporting forms (34%, 14/41) and cholera treatment guidelines (37%, 16/43). In FDGs, HCWs described confusion regarding roles and reporting during the outbreak, which highlighted issues in coordination and management structures within the health system. Similar to checklist findings, FGD participants described supply challenges affecting laboratory preparedness and infection prevention and control. Perceived successes included community engagement, health education, strong collaboration between clinic and community HCWs, and HCWs' personal passion to help others. CONCLUSIONS: The confusion over roles, reporting, and management found in this evaluation highlights a need to adapt, implement, and communicate health strategies at the county level, in order to inform and train HCWs during health system transformations. International, national, and county stakeholders could strengthen preparedness and response for cholera and other public health emergencies in Kenya, and thereby strengthen global health security, through further investment in the existing Integrated Disease Surveillance and Response structure and national cholera prevention and control plan, and the adoption of county-specific cholera control plans.

Cholera outbreak in Homa Bay County, Kenya, 2015.

Cholera is among the re-emerging diseases in Kenya. Beginning in December 2014, a persistent outbreak occurred involving 29 out of the 47 countries. Homa Bay County in Western Kenya was among the first counties to report cholera cases from January to April 2015. This case study is based on an outbreak investigation conducted by FELTP residents in Homa Bay County in February 2015. It simulates an outbreak investigation including laboratory confirmation, active case finding, descriptive epidemiology and implementation of control measures. This case study is designed for the training of basic level field epidemiology trainees or any other health care workers working in public health-related fields. It can be administered in 2-3 hours. Used as adjunct training material, the case study provides the trainees with competencies in investigating an outbreak in preparation for the actual real-life experience of such outbreaks.

Catalysts for implementation of One Health in Kenya.

The recent Zika outbreak in the Americas, Ebola epidemic in West Africa and the increased frequency and impact of emerging and re-emerging infections of animal origin have increased the calls for greater preparedness in early detection and responses to public health events. One-Health approaches that emphasize collaborations between human health, animal health and environmental health sectors for the prevention, early detection and response to disease outbreaks have been hailed as a key strategy. Here we highlight three main efforts that have progressed the implementation of One Health in Kenya.