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1.
BMC Public Health ; 20(1): 672, 2020 May 12.
Article in English | MEDLINE | ID: mdl-32397986

ABSTRACT

BACKGROUND: In 2016, after 8 years of twice-annual nationwide preventive chemotherapy (PC) administration to school-age children (SAC), the Bangladesh Ministry of Health & Family Welfare (MOHFW) sought improved impact and intervention monitoring data to assess progress toward the newly adopted goal of eliminating soil-transmitted helminthiasis (STH) as a public health problem. METHODS: We surveyed four Bangladeshi districts between August and October 2017. We conducted a multi-stage, cluster-sample, household survey which produced equal-probability samples for preschool-age children (PSAC; 1-4 years), SAC (5-14 years), and adults (≥ 15 years). Standardized questionnaires were administered, using Android-based smart phones running an Open Data Kit application. Stool samples were collected and testing for STH prevalence and infection intensity used the Kato-Katz technique. RESULTS: In all, 4318 stool samples were collected from 7164 participants. Estimates of STH prevalence by risk group in three of the four surveyed districts ranged from 3.4 to 5.0%, all with upper, 1-sided 95% confidence limits < 10%. However, STH prevalence estimates in Sirajganj District ranged from 23.4 to 29.1%. Infections in that district were spatially focal; four of the 30 survey clusters had > 50% prevalence in at least one risk group. Among all tested specimens, Ascaris lumbricoides was the most common STH parasite [8.2% (n = 352)], followed by Trichuris trichiura [0.9% (n = 37)], and hookworm [0.6% (n = 27)]. In each district, PC coverage among SAC was above the 75% program target but did not exceed 45% among PSAC in any district. Improved sanitation at home, school, or work was over 90% in all districts. CONCLUSIONS: In the three low-prevalence districts, the MOHFW is considering decreasing the frequency of mass drug administration, per World Health Organization (WHO) guidelines. Also, the MOHFW will focus programmatic resources and supervisory efforts on Sirajganj District. Despite considering WHO guidance, the MOHFW will not expand PC administration to women of reproductive age partly due to the low prevalence of hookworm and T. trichiura, the STH parasites that contribute most to morbidity in that risk group. Data collected from surveys such as ours would help effectively guide future STH control efforts in Bangladesh and elsewhere.


Subject(s)
Helminthiasis/epidemiology , Helminthiasis/prevention & control , Hookworm Infections/epidemiology , Hookworm Infections/prevention & control , Mass Drug Administration , Sanitation/methods , Soil/parasitology , Adolescent , Adult , Aged , Aged, 80 and over , Animals , Bangladesh/epidemiology , Child , Child, Preschool , Female , Humans , Infant , Male , Middle Aged , Prevalence , Risk Factors , Surveys and Questionnaires , Young Adult
2.
MMWR Morb Mortal Wkly Rep ; 65(50-51): 1439-1444, 2016 Dec 30.
Article in English | MEDLINE | ID: mdl-28033315

ABSTRACT

This report summarizes U.S. influenza activity* during October 2-December 17, 2016.† Influenza activity in the United States remained low in October and has been slowly increasing since November. Influenza A viruses were identified most frequently, with influenza A (H3N2) viruses predominating. Most influenza viruses characterized during this period were genetically or antigenically similar to the reference viruses representing vaccine components recommended for production in the 2016-17 Northern Hemisphere influenza vaccines.


Subject(s)
Influenza A Virus, H1N1 Subtype/isolation & purification , Influenza A Virus, H3N2 Subtype/isolation & purification , Influenza B virus/isolation & purification , Influenza, Human/epidemiology , Population Surveillance , Adolescent , Adult , Aged , Ambulatory Care/statistics & numerical data , Antiviral Agents/pharmacology , Child , Child Mortality , Child, Preschool , Drug Resistance, Viral , Hospitalization/statistics & numerical data , Humans , Infant , Infant, Newborn , Influenza A Virus, H1N1 Subtype/drug effects , Influenza A Virus, H1N1 Subtype/genetics , Influenza A Virus, H1N2 Subtype/isolation & purification , Influenza A Virus, H3N2 Subtype/drug effects , Influenza A Virus, H3N2 Subtype/genetics , Influenza B virus/drug effects , Influenza B virus/genetics , Influenza, Human/mortality , Influenza, Human/virology , Middle Aged , Pneumonia/mortality , Seasons , United States/epidemiology , Young Adult
3.
MMWR Morb Mortal Wkly Rep ; 65(37): 1008-1014, 2016 Sep 23.
Article in English | MEDLINE | ID: mdl-27657671

ABSTRACT

During May 22-September 10, 2016,* the United States experienced typical low levels of seasonal influenza activity overall; beginning in late August, clinical laboratories reported a slight increase in influenza positive test results and CDC received reports of a small number of localized influenza outbreaks caused by influenza A (H3N2) viruses. Influenza A (H1N1)pdm09, influenza A (H3N2), and influenza B viruses were detected during May-September in the United States and worldwide. The majority of the influenza viruses collected from the United States and other countries during that time have been characterized antigenically or genetically or both as being similar to the reference viruses representing vaccine components recommended for the 2016-17 Northern Hemisphere vaccine. During May 22-September 10, 2016, 20 influenza variant virus† infections were reported; two were influenza A (H1N2) variant (H1N2v) viruses (Minnesota and Wisconsin) and 18 were influenza A (H3N2) variant (H3N2v) viruses (12 from Michigan and six from Ohio).

4.
MMWR Morb Mortal Wkly Rep ; 65(22): 567-75, 2016 Jun 10.
Article in English | MEDLINE | ID: mdl-27281364

ABSTRACT

During the 2015-16 influenza season (October 4, 2015-May 21, 2016) in the United States, influenza activity* was lower and peaked later compared with the previous three seasons (2012-13, 2013-14, and 2014-15). Activity remained low from October 2015 until late December 2015 and peaked in mid-March 2016. During the most recent 18 influenza seasons (including this season), only two other seasons have peaked in March (2011-12 and 2005-06). Overall influenza activity was moderate this season, with a lower percentage of outpatient visits for influenza-like illness (ILI),(†) lower hospitalization rates, and a lower percentage of deaths attributed to pneumonia and influenza (P&I) compared with the preceding three seasons. Influenza A(H1N1)pdm09 viruses predominated overall, but influenza A(H3N2) viruses were more commonly identified from October to early December, and influenza B viruses were more commonly identified from mid-April through mid-May. The majority of viruses characterized this season were antigenically similar to the reference viruses representing the recommended components of the 2015-16 Northern Hemisphere influenza vaccine (1). This report summarizes influenza activity in the United States during the 2015-16 influenza season (October 4, 2015-May 21, 2016)(§) and reports the vaccine virus components recommended for the 2016-17 Northern Hemisphere influenza vaccines.


Subject(s)
Influenza A Virus, H1N1 Subtype/isolation & purification , Influenza A Virus, H3N2 Subtype/isolation & purification , Influenza B virus/isolation & purification , Influenza, Human/epidemiology , Population Surveillance , Adolescent , Adult , Aged , Child , Child Mortality , Child, Preschool , Drug Resistance, Viral , Hospitalization/statistics & numerical data , Humans , Infant , Infant Mortality , Infant, Newborn , Influenza A Virus, H1N1 Subtype/drug effects , Influenza A Virus, H1N1 Subtype/genetics , Influenza A Virus, H3N2 Subtype/drug effects , Influenza A Virus, H3N2 Subtype/genetics , Influenza B virus/drug effects , Influenza B virus/genetics , Influenza Vaccines/chemistry , Influenza, Human/mortality , Influenza, Human/prevention & control , Influenza, Human/virology , Middle Aged , Outpatients/statistics & numerical data , Pneumonia/mortality , Seasons , United States/epidemiology , Young Adult
5.
Vaccine ; 30(24): 3492-502, 2012 May 21.
Article in English | MEDLINE | ID: mdl-22480924

ABSTRACT

BACKGROUND: Human rabies remains a significant problem in many developing countries, where canine rabies is the most common means of transmission. Although vaccination of dogs has been shown to be the most effective method of prevention in humans, dog vaccination is often lacking. METHODS: This systematic review examined dog rabies vaccination coverage achieved following mass vaccination campaigns and dog ecology/management factors relevant to rabies control in the developing world. We searched a variety of electronic databases for published articles pertaining to dog rabies vaccination or dog ecology where data were collected utilizing a household cluster survey. We reviewed studies published between January 1, 1980 and present and identified 29 articles for inclusion. RESULTS: We found the majority of vaccination campaigns were able to achieve the WHO recommended vaccination coverage of ≥ 70% and calculated weighted mean post-campaign vaccination coverage of 76.5% in urban areas and 73.7% in rural areas. However, we found an absence of studies related to dog vaccination/dog ecology from countries with the greatest burden of rabies such as India, China, and Pakistan. In addition, the majority of dogs in the developing world are very young and short-lived, reducing the effectiveness of vaccination campaigns. CONCLUSIONS: Future studies on canine ecology should be undertaken in countries with high endemic canine rabies. New methods for improving the longevity of dogs and reducing high dog population turnover need to be investigated. Programs which encourage good dog management and promote responsible pet ownership are essential to eliminating canine and human rabies.


Subject(s)
Dog Diseases/epidemiology , Dog Diseases/prevention & control , Rabies Vaccines/administration & dosage , Rabies/veterinary , Vaccination/methods , Animals , China/epidemiology , Developing Countries , Dogs , Endemic Diseases , Humans , India/epidemiology , Pakistan/epidemiology , Rabies/epidemiology , Rabies/prevention & control , Vaccination/statistics & numerical data
6.
Int J Cancer ; 129(9): 2290-6, 2011 Nov 01.
Article in English | MEDLINE | ID: mdl-21190193

ABSTRACT

Several studies have shown a decrease in glioma risk associated with a personal history of allergic conditions and the medications used to treat the symptoms. However, few studies have been able to examine risk within histological subgroups of glioma. Case-control data from M. D. Anderson Cancer Center and University of California, San Francisco were pooled to conduct the analysis stratified by histological subtype. A risk prediction model considering inflammation-related variables and antihistamine use was built using logistic regression. Of the subtypes examined, long-term antihistamine use was associated with increased risk of anaplastic gliomas, especially when length of use was considered in conjunction with history of asthma or allergy. Anaplastic cases with no history of asthma or allergy were 2.94 times more likely than controls to report antihistamine use for 10 years or more; whereas anaplastic cases with a history of asthma or allergy were 2.34 times more likely than controls to report antihistamine use for 10 years or more. Furthermore, anti-inflammatory medication use was associated with a protective effect against glioblastoma (OR = 0.80; 95% CI: 0.65, 0.99), especially among individuals with no history of asthma or allergies. No statistically significant effects of anti-inflammatory drugs or antihistamines were evident for the other histological subtypes. Thus, modulation of the immune system by the use of common drugs, such as antihistamines or nonsteroidal anti-inflammatory drugs, may contribute to the development of certain types of brain tumors.


Subject(s)
Anti-Inflammatory Agents, Non-Steroidal/adverse effects , Brain Neoplasms/epidemiology , Glioma/epidemiology , Histamine Antagonists/adverse effects , Brain Neoplasms/pathology , Case-Control Studies , Female , Glioma/pathology , Humans , Logistic Models , Male , Middle Aged , Risk Assessment , Risk Factors
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