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Global situation of foot-and-mouth disease (FMD)--a short review

Kesy A

Pol J Vet Sci, 2002;5(4):283-7.
PMID: 12512564

This article reviews the actual world FMD situation. In 2000, fifty nine countries officially reported outbreaks of FMD. The disease occurred in Europe (Greece), Asia (Russia, Mongolia, Bangladesh, Cambodia, China, Japan, Laos, Nepal, Pakistan, Philippines, Republic of Korea, Taiwan, Thailand, Vietnam, Iran, Iraq, Turkey, in Caucasian region--Georgia, Azerbaijan and Armenia as well as in Kazakhstan, Kyrgyzstan, Turkmenistan and Tajikistan), Africa (Egypt, Kenya, Mauritania, South Africa, Tanzania, Uganda, Malawi, Namibia, Zambia and Zimbabwe) and in South America (Brazil, Colombia, Uruguay, Bolivia, Peru, Ecuador and Venezuela). In 2001, FMD was still spreading throughout the endemic regions and appeared in some of the west European countries--Great Britain, The Netherlands, France and Ireland. In South America, FMD occurred in Argentina, Uruguay, Brazil and Colombia. In Asia the FMD spread in Turkey, Iran, Afghanistan, Georgia, Azerbaijan, Mongolia, Kuwait, Bahrain, Yemen, Qatar, United Arab Emirates, Oman, Iran, Bhutan, Nepal, Malaysia, Philippines, Thailand and Taiwan. The FMD situation in Africa was unclear, but probably most countries in West, East and South Africa were affected. The most recent data of the OIE from May 2002 confirmed FMD outbreaks in population of pigs in Republic of Korea.

Matched MeSH terms: South America/epidemiology
Cost of dengue cases in eight countries in the Americas and Asia: a prospective study

Suaya JA, Shepard DS, Siqueira JB, Martelli CT, Lum LC, Tan LH, et al.

Am J Trop Med Hyg, 2009 May;80(5):846-55.
PMID: 19407136

Despite the growing worldwide burden of dengue fever, the global economic impact of dengue illness is poorly documented. Using a common protocol, we present the first multicountry estimates of the direct and indirect costs of dengue cases in eight American and Asian countries. We conducted prospective studies of the cost of dengue in five countries in the Americas (Brazil, El Salvador, Guatemala, Panama, and Venezuela) and three countries in Asia (Cambodia, Malaysia, and Thailand). All studies followed the same core protocol with interviews and medical record reviews. The study populations were patients treated in ambulatory and hospital settings with a clinical diagnosis of dengue. Most studies were performed in 2005. Costs are in 2005 international dollars (I$). We studied 1,695 patients (48% pediatric and 52% adult); none died. The average illness lasted 11.9 days for ambulatory patients and 11.0 days for hospitalized patients. Among hospitalized patients, students lost 5.6 days of school, whereas those working lost 9.9 work days per average dengue episode. Overall mean costs were I$514 and I$1,394 for an ambulatory and hospitalized case, respectively. With an annual average of 574,000 cases reported, the aggregate annual economic cost of dengue for the eight study countries is at least I$587 million. Preliminary adjustment for under-reporting could raise this total to $1.8 billion, and incorporating costs of dengue surveillance and vector control would raise the amount further. Dengue imposes substantial costs on both the health sector and the overall economy.

Matched MeSH terms: South America/epidemiology
Fulltext White Rice Intake and Incident Diabetes: A Study of 132,373 Participants in 21 Countries

Bhavadharini B, Mohan V, Dehghan M, Rangarajan S, Swaminathan S, Rosengren A, et al.

Diabetes Care, 2020 11;43(11):2643-2650.
PMID: 32873587 DOI: 10.2337/dc19-2335

OBJECTIVE: Previous prospective studies on the association of white rice intake with incident diabetes have shown contradictory results but were conducted in single countries and predominantly in Asia. We report on the association of white rice with risk of diabetes in the multinational Prospective Urban Rural Epidemiology (PURE) study.
RESEARCH DESIGN AND METHODS: Data on 132,373 individuals aged 35-70 years from 21 countries were analyzed. White rice consumption (cooked) was categorized as <150, ≥150 to <300, ≥300 to <450, and ≥450 g/day, based on one cup of cooked rice = 150 g. The primary outcome was incident diabetes. Hazard ratios (HRs) were calculated using a multivariable Cox frailty model.
RESULTS: During a mean follow-up period of 9.5 years, 6,129 individuals without baseline diabetes developed incident diabetes. In the overall cohort, higher intake of white rice (≥450 g/day compared with <150 g/day) was associated with increased risk of diabetes (HR 1.20; 95% CI 1.02-1.40; P for trend = 0.003). However, the highest risk was seen in South Asia (HR 1.61; 95% CI 1.13-2.30; P for trend = 0.02), followed by other regions of the world (which included South East Asia, Middle East, South America, North America, Europe, and Africa) (HR 1.41; 95% CI 1.08-1.86; P for trend = 0.01), while in China there was no significant association (HR 1.04; 95% CI 0.77-1.40; P for trend = 0.38).
CONCLUSIONS: Higher consumption of white rice is associated with an increased risk of incident diabetes with the strongest association being observed in South Asia, while in other regions, a modest, nonsignificant association was seen.

Matched MeSH terms: South America/epidemiology
Solar insolation in springtime influences age of onset of bipolar I disorder

Bauer M, Glenn T, Alda M, Aleksandrovich MA, Andreassen OA, Angelopoulos E, et al.

Acta Psychiatr Scand, 2017 Dec;136(6):571-582.
PMID: 28722128 DOI: 10.1111/acps.12772

OBJECTIVE: To confirm prior findings that the larger the maximum monthly increase in solar insolation in springtime, the younger the age of onset of bipolar disorder.
METHOD: Data were collected from 5536 patients at 50 sites in 32 countries on six continents. Onset occurred at 456 locations in 57 countries. Variables included solar insolation, birth-cohort, family history, polarity of first episode and country physician density.
RESULTS: There was a significant, inverse association between the maximum monthly increase in solar insolation at the onset location, and the age of onset. This effect was reduced in those without a family history of mood disorders and with a first episode of mania rather than depression. The maximum monthly increase occurred in springtime. The youngest birth-cohort had the youngest age of onset. All prior relationships were confirmed using both the entire sample, and only the youngest birth-cohort (all estimated coefficients P < 0.001).
CONCLUSION: A large increase in springtime solar insolation may impact the onset of bipolar disorder, especially with a family history of mood disorders. Recent societal changes that affect light exposure (LED lighting, mobile devices backlit with LEDs) may influence adaptability to a springtime circadian challenge.

Matched MeSH terms: South America/epidemiology
Fulltext Passengers' destinations from China: low risk of Novel Coronavirus (2019-nCoV) transmission into Africa and South America

Haider N, Yavlinsky A, Simons D, Osman AY, Ntoumi F, Zumla A, et al.

Epidemiol Infect, 2020 02 26;148:e41.
PMID: 32100667 DOI: 10.1017/S0950268820000424

Novel Coronavirus (2019-nCoV [SARS-COV-2]) was detected in humans during the last week of December 2019 at Wuhan city in China, and caused 24 554 cases in 27 countries and territories as of 5 February 2020. The objective of this study was to estimate the risk of transmission of 2019-nCoV through human passenger air flight from four major cities of China (Wuhan, Beijing, Shanghai and Guangzhou) to the passengers' destination countries. We extracted the weekly simulated passengers' end destination data for the period of 1-31 January 2020 from FLIRT, an online air travel dataset that uses information from 800 airlines to show the direct flight and passengers' end destination. We estimated a risk index of 2019-nCoV transmission based on the number of travellers to destination countries, weighted by the number of confirmed cases of the departed city reported by the World Health Organization (WHO). We ranked each country based on the risk index in four quantiles (4th quantile being the highest risk and 1st quantile being the lowest risk). During the period, 388 287 passengers were destined for 1297 airports in 168 countries or territories across the world. The risk index of 2019-nCoV among the countries had a very high correlation with the WHO-reported confirmed cases (0.97). According to our risk score classification, of the countries that reported at least one Coronavirus-infected pneumonia (COVID-19) case as of 5 February 2020, 24 countries were in the 4th quantile of the risk index, two in the 3rd quantile, one in the 2nd quantile and none in the 1st quantile. Outside China, countries with a higher risk of 2019-nCoV transmission are Thailand, Cambodia, Malaysia, Canada and the USA, all of which reported at least one case. In pan-Europe, UK, France, Russia, Germany and Italy; in North America, USA and Canada; in Oceania, Australia had high risk, all of them reported at least one case. In Africa and South America, the risk of transmission is very low with Ethiopia, South Africa, Egypt, Mauritius and Brazil showing a similar risk of transmission compared to the risk of any of the countries where at least one case is detected. The risk of transmission on 31 January 2020 was very high in neighbouring Asian countries, followed by Europe (UK, France, Russia and Germany), Oceania (Australia) and North America (USA and Canada). Increased public health response including early case recognition, isolation of identified case, contract tracing and targeted airport screening, public awareness and vigilance of health workers will help mitigate the force of further spread to naïve countries.

Matched MeSH terms: South America/epidemiology
Surgical site infections, International Nosocomial Infection Control Consortium (INICC) report, data summary of 30 countries, 2005-2010

Rosenthal VD, Richtmann R, Singh S, Apisarnthanarak A, Kübler A, Viet-Hung N, et al.

Infect Control Hosp Epidemiol, 2013 Jun;34(6):597-604.
PMID: 23651890 DOI: 10.1086/670626

To report the results of a surveillance study on surgical site infections (SSIs) conducted by the International Nosocomial Infection Control Consortium (INICC).

Matched MeSH terms: South America/epidemiology